• A Really Fun Game Is Leaving Steam Soon But Costs Less Than $1 Right Now

    A really cool parkour game is being delisted from Steam on June 30, but you still have a chance to grab it for dirt cheap. Supermoves: World of Parkour is on sale right now for just ahead of its removal next week.Despite being a blast to play, Supermoves has had a bit of a tragic life following its release last year. Based on both critical and Steam review response, Supermoves is a blast, combining Mirror's Edge-inspired freerunning with some cool multiplayer modes. However, the game did not sell particularly well, and developer Makea Games was forced to shut down back in April. Tomi Toikka, the founder and former CEO of Makea Games, stated that he has been in negotiations to try to retain control over the Supermoves IP, but to no avail. As he shared in a final update announcing the delisting, Makea's financing structure apparently prohibits any path for Toikka to keep the game on sale. He wrote, "After shutting down Makea Games, I had hoped I could salvage the game IP to be preserved in another game company, so players could still play the game they own online, and maybe it could see a resurgence in new players one day. But sometimes the cost of doing business is losing something you love."Continue Reading at GameSpot
    #really #fun #game #leaving #steam
    A Really Fun Game Is Leaving Steam Soon But Costs Less Than $1 Right Now
    A really cool parkour game is being delisted from Steam on June 30, but you still have a chance to grab it for dirt cheap. Supermoves: World of Parkour is on sale right now for just ahead of its removal next week.Despite being a blast to play, Supermoves has had a bit of a tragic life following its release last year. Based on both critical and Steam review response, Supermoves is a blast, combining Mirror's Edge-inspired freerunning with some cool multiplayer modes. However, the game did not sell particularly well, and developer Makea Games was forced to shut down back in April. Tomi Toikka, the founder and former CEO of Makea Games, stated that he has been in negotiations to try to retain control over the Supermoves IP, but to no avail. As he shared in a final update announcing the delisting, Makea's financing structure apparently prohibits any path for Toikka to keep the game on sale. He wrote, "After shutting down Makea Games, I had hoped I could salvage the game IP to be preserved in another game company, so players could still play the game they own online, and maybe it could see a resurgence in new players one day. But sometimes the cost of doing business is losing something you love."Continue Reading at GameSpot #really #fun #game #leaving #steam
    WWW.GAMESPOT.COM
    A Really Fun Game Is Leaving Steam Soon But Costs Less Than $1 Right Now
    A really cool parkour game is being delisted from Steam on June 30, but you still have a chance to grab it for dirt cheap. Supermoves: World of Parkour is on sale right now for just $0.79 ahead of its removal next week.Despite being a blast to play, Supermoves has had a bit of a tragic life following its release last year. Based on both critical and Steam review response, Supermoves is a blast, combining Mirror's Edge-inspired freerunning with some cool multiplayer modes. However, the game did not sell particularly well, and developer Makea Games was forced to shut down back in April. Tomi Toikka, the founder and former CEO of Makea Games, stated that he has been in negotiations to try to retain control over the Supermoves IP, but to no avail. As he shared in a final update announcing the delisting, Makea's financing structure apparently prohibits any path for Toikka to keep the game on sale. He wrote, "After shutting down Makea Games, I had hoped I could salvage the game IP to be preserved in another game company, so players could still play the game they own online, and maybe it could see a resurgence in new players one day. But sometimes the cost of doing business is losing something you love."Continue Reading at GameSpot
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  • Roku Streaming Stick Plus Review: Cheap, Simple, and Pretty

    This cheap little dongle is the perfect way to get better apps on your smart TV.
    Roku Streaming Stick Plus Review: Cheap, Simple, and Pretty This cheap little dongle is the perfect way to get better apps on your smart TV.
    Roku Streaming Stick Plus Review: Cheap, Simple, and Pretty
    This cheap little dongle is the perfect way to get better apps on your smart TV.
    2 Commentarii 0 Distribuiri
  • Audio Localization Gear Built On The Cheap

    Most humans with two ears have a pretty good sense of directional hearing. However, you can build equipment to localize audio sources, too. That’s precisely what [Sam], [Ezra], and [Ari] …read more
    Audio Localization Gear Built On The Cheap Most humans with two ears have a pretty good sense of directional hearing. However, you can build equipment to localize audio sources, too. That’s precisely what [Sam], [Ezra], and [Ari] …read more
    HACKADAY.COM
    Audio Localization Gear Built On The Cheap
    Most humans with two ears have a pretty good sense of directional hearing. However, you can build equipment to localize audio sources, too. That’s precisely what [Sam], [Ezra], and [Ari] …read more
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  • A Cheap Smart Plug To Block Distractions

    We have all suffered from this; the boss wants you to compile a report on the number of paper clips and you’re crawling up the wall with boredom, so naturally …read more
    A Cheap Smart Plug To Block Distractions We have all suffered from this; the boss wants you to compile a report on the number of paper clips and you’re crawling up the wall with boredom, so naturally …read more
    HACKADAY.COM
    A Cheap Smart Plug To Block Distractions
    We have all suffered from this; the boss wants you to compile a report on the number of paper clips and you’re crawling up the wall with boredom, so naturally …read more
    2 Commentarii 0 Distribuiri
  • In a world where cloud computing has become the digital equivalent of air (you know, something everyone breathes in but no one really thinks about), the latest trend in datacenter technology is to send our precious data skyrocketing into the cosmos. Yes, you read that right—space-based datacenters are the new buzzword, because why let earthly problems like power outages or NIMBYism stop us from storing our data in the great beyond?

    Imagine the scene: while we sit in traffic on our way to work, feeling the weight of our earthly responsibilities, there are engineers in space suits, floating around in zero gravity, managing data storage like it’s just another day at the office. I mean, who needs a reliable power grid when you can have the cosmic energy of a thousand suns powering your Netflix binge-watching session? Talk about an upgrade!

    Of course, this leap into the stratosphere isn't without its challenges. What happens if there’s a little too much space debris? Will our precious selfies come crashing back down to Earth? Or worse, will they be lost forever among the stars? But fear not! The tech-savvy geniuses behind this initiative have assured us that they have a plan. Clearly, the best minds of our generation are focused on ensuring your TikTok videos stay safe in orbit rather than, say, solving world hunger or climate change. Priorities, am I right?

    Let’s not forget about the cost. Space travel isn’t exactly cheap. But hey, if I’m going to spend a fortune on data storage, I’d rather it be orbiting Earth than sitting in a basement somewhere in New Jersey. Because nothing says “I’m a forward-thinking tech mogul” quite like a datacenter floating serenely above the clouds, right? It’s the ultimate status symbol—better than a sports car, better than a mansion. “Look at me! My data is literally out of this world!”

    And let’s be real, the power of AI is growing faster than a toddler on a sugar rush. Our current datacenters are sweating bullets trying to keep up. So, the solution? Just toss them into orbit! Sure, it sounds like a plot from a sci-fi movie, but who needs a solid plan when you have a vision, right? The next logical step is to start launching all our problems into space. Traffic jams? Launch them! Your ex? Into orbit they go!

    So, here's to the brave souls who will be managing our digital lives from afar. May your Wi-Fi connection be strong, may your satellite dishes be well-aligned, and may your cosmic data never experience latency. Because if there’s one thing we can all agree on, it's that our data deserves a first-class ticket to space, even if it means leaving the rest of the world behind.

    #SpaceBasedDatacenters #CloudComputing #DataInOrbit #TechTrends #AIFuture
    In a world where cloud computing has become the digital equivalent of air (you know, something everyone breathes in but no one really thinks about), the latest trend in datacenter technology is to send our precious data skyrocketing into the cosmos. Yes, you read that right—space-based datacenters are the new buzzword, because why let earthly problems like power outages or NIMBYism stop us from storing our data in the great beyond? Imagine the scene: while we sit in traffic on our way to work, feeling the weight of our earthly responsibilities, there are engineers in space suits, floating around in zero gravity, managing data storage like it’s just another day at the office. I mean, who needs a reliable power grid when you can have the cosmic energy of a thousand suns powering your Netflix binge-watching session? Talk about an upgrade! Of course, this leap into the stratosphere isn't without its challenges. What happens if there’s a little too much space debris? Will our precious selfies come crashing back down to Earth? Or worse, will they be lost forever among the stars? But fear not! The tech-savvy geniuses behind this initiative have assured us that they have a plan. Clearly, the best minds of our generation are focused on ensuring your TikTok videos stay safe in orbit rather than, say, solving world hunger or climate change. Priorities, am I right? Let’s not forget about the cost. Space travel isn’t exactly cheap. But hey, if I’m going to spend a fortune on data storage, I’d rather it be orbiting Earth than sitting in a basement somewhere in New Jersey. Because nothing says “I’m a forward-thinking tech mogul” quite like a datacenter floating serenely above the clouds, right? It’s the ultimate status symbol—better than a sports car, better than a mansion. “Look at me! My data is literally out of this world!” And let’s be real, the power of AI is growing faster than a toddler on a sugar rush. Our current datacenters are sweating bullets trying to keep up. So, the solution? Just toss them into orbit! Sure, it sounds like a plot from a sci-fi movie, but who needs a solid plan when you have a vision, right? The next logical step is to start launching all our problems into space. Traffic jams? Launch them! Your ex? Into orbit they go! So, here's to the brave souls who will be managing our digital lives from afar. May your Wi-Fi connection be strong, may your satellite dishes be well-aligned, and may your cosmic data never experience latency. Because if there’s one thing we can all agree on, it's that our data deserves a first-class ticket to space, even if it means leaving the rest of the world behind. #SpaceBasedDatacenters #CloudComputing #DataInOrbit #TechTrends #AIFuture
    Space-Based Datacenters Take The Cloud into Orbit
    Where’s the best place for a datacenter? It’s an increasing problem as the AI buildup continues seemingly without pause. It’s not just a problem of NIMBYism; earthly power grids are …read more
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  • Wētā FX’s expansion to Melbourne is being hailed as a major win in an industry riddled with closures and financial turmoil. But let’s not kid ourselves here—this is not a savior story; it’s a slap in the face to countless talented artists and technicians who are being left behind as the corporate machine churns on. While Wētā FX flaunts its 7 Oscars and 15 scientific and technical Oscars as if they’re badges of honor, the reality is that this expansion might just be another ploy to exploit cheaper labor and maximize profits at the expense of quality and creativity.

    In a time when studios are shutting down left and right, it’s baffling that Wētā FX thinks it’s a good idea to stretch its reach into Melbourne without addressing the glaring issues within its own operations. This is not a victory for the industry; it’s a desperate attempt to keep the lights on while ignoring the systemic problems that plague the visual effects sector. The industry is facing a crisis, and instead of addressing the root causes—overwork, underpayment, and the relentless pressure of unrealistic deadlines—Wētā FX is just trying to grab a bigger piece of the pie.

    Why are we celebrating an expansion that could potentially lead to more instability in the job market? Wētā FX’s move to Melbourne could mean more jobs, yes, but at what cost? What about the existing employees who are already stretched thin? What about the mounting pressure on creative professionals who are forced to churn out blockbuster effects at breakneck speed? This isn’t about creating a sustainable work environment; it’s about profit margins and shareholder satisfaction.

    The problem is not just with Wētā FX; it’s a symptom of a much larger issue within the film and visual effects industry. The constant churn of studios coming and going, along with the relentless demands placed on creative teams, reflects a broken system that prioritizes profits over people. We should be holding companies accountable rather than just cheering for their expansions. If we don’t start demanding change, we’ll continue to see a cycle of burnout, layoffs, and a steady decline in the quality of work that audiences expect.

    And let's talk about the so-called "innovation" that Wētā FX touts. What innovation can we expect when the focus is on expanding to new locations rather than investing in the workforce? New studios don’t equate to new ideas or better working conditions. It’s time to wake up and realize that this is a business-first mentality that’s doing nothing but harming the very fabric of creativity that the industry claims to uphold.

    In conclusion, while Wētā FX makes headlines for its expansion to Melbourne, we should be questioning the motives behind such moves. This isn’t a time for celebration; it’s a time for scrutiny. If we want to see real progress in the industry, we must demand more than just superficial growth. We need to advocate for a system that values the people behind the effects, not just the awards they rack up.

    #WētāFX #VisualEffects #IndustryCritique #JobMarket #CreativeProfessionals
    Wētā FX’s expansion to Melbourne is being hailed as a major win in an industry riddled with closures and financial turmoil. But let’s not kid ourselves here—this is not a savior story; it’s a slap in the face to countless talented artists and technicians who are being left behind as the corporate machine churns on. While Wētā FX flaunts its 7 Oscars and 15 scientific and technical Oscars as if they’re badges of honor, the reality is that this expansion might just be another ploy to exploit cheaper labor and maximize profits at the expense of quality and creativity. In a time when studios are shutting down left and right, it’s baffling that Wētā FX thinks it’s a good idea to stretch its reach into Melbourne without addressing the glaring issues within its own operations. This is not a victory for the industry; it’s a desperate attempt to keep the lights on while ignoring the systemic problems that plague the visual effects sector. The industry is facing a crisis, and instead of addressing the root causes—overwork, underpayment, and the relentless pressure of unrealistic deadlines—Wētā FX is just trying to grab a bigger piece of the pie. Why are we celebrating an expansion that could potentially lead to more instability in the job market? Wētā FX’s move to Melbourne could mean more jobs, yes, but at what cost? What about the existing employees who are already stretched thin? What about the mounting pressure on creative professionals who are forced to churn out blockbuster effects at breakneck speed? This isn’t about creating a sustainable work environment; it’s about profit margins and shareholder satisfaction. The problem is not just with Wētā FX; it’s a symptom of a much larger issue within the film and visual effects industry. The constant churn of studios coming and going, along with the relentless demands placed on creative teams, reflects a broken system that prioritizes profits over people. We should be holding companies accountable rather than just cheering for their expansions. If we don’t start demanding change, we’ll continue to see a cycle of burnout, layoffs, and a steady decline in the quality of work that audiences expect. And let's talk about the so-called "innovation" that Wētā FX touts. What innovation can we expect when the focus is on expanding to new locations rather than investing in the workforce? New studios don’t equate to new ideas or better working conditions. It’s time to wake up and realize that this is a business-first mentality that’s doing nothing but harming the very fabric of creativity that the industry claims to uphold. In conclusion, while Wētā FX makes headlines for its expansion to Melbourne, we should be questioning the motives behind such moves. This isn’t a time for celebration; it’s a time for scrutiny. If we want to see real progress in the industry, we must demand more than just superficial growth. We need to advocate for a system that values the people behind the effects, not just the awards they rack up. #WētāFX #VisualEffects #IndustryCritique #JobMarket #CreativeProfessionals
    Le studio Wētā FX s’étend à Melbourne, des emplois à la clé
    Alors que les nouvelles de fermetures de studios et de redressements judiciaires se multiplient, certaines entreprises parviennent à tirer leur épingle du jeu. C’est le cas de Wētā FX, le studio d’effets visuels aux 7 Oscars et 15 Oscars
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  • Games Inbox: Would Xbox ever shut down Game Pass?

    Game Pass – will it continue forever?The Monday letters page struggles to predict what’s going to happen with the PlayStation 6, as one reader sees their opinion of the Switch 2 change over time.
    To join in with the discussions yourself email gamecentral@metro.co.uk
    Final Pass
    I agree with a lot of what was said about the current state of Xbox in the Reader’s Feature this weekend and how the more Microsoft spends, and the more companies they own, the less the seem to be in control. Which is very strange really.The biggest recent failure has got to be Game Pass, which has not had the impact they expected and yet they don’t seem ready to acknowledge that. If they’re thinking of increasing the price again, like those rumours say, then I think that will be the point at which you can draw a line under the whole idea and admit it’s never going to catch on.
    But would Microsoft ever shut down Game Pass completely? I feel that would almost be more humiliating than stopping making consoles, so I can’t really imagine it. Instead, they’ll make it more and more expensive and put more and more restrictions on day one games until it’s no longer recognisable.Grackle
    Panic button
    Strange to see Sony talking relatively openly about Nintendo and Microsoft as competition. I can’t remember the last time they mentioned either of them, even if they obviously would prefer not to have, if they hadn’t been asked by investors.At no point did they acknowledge that the Switch has completely outsold both their last two consoles, so I’m not sure where their confidence comes from. I guess it’s from the fact that they know they’ve done nothing this gen and still come out on top, so from their perspective they’ve got plenty in reserve.

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    Sign up to the GameCentral newsletter for a unique take on the week in gaming, alongside the latest reviews and more. Delivered to your inbox every Saturday morning.

    Having your panic button being ‘do anything at all’ must be pretty reassuring really. Nintendo has had to work to get where they are with the Switch but Sony is just coasting it.Lupus
    James’ LadderJacob’s Ladder is a film I’ve been meaning to watch for a while, and I guessed the ending quite early on, but it feels like a Silent Hill film. I don’t know if you guys have seen it but it’s an excellent film and the hospital scene near the end, and the cages blocking off the underground early on, just remind me of the game.
    A depressing film overall but worth a watch.Simon
    GC: Jacob’s Ladder was as a major influence on Silent Hill 2 in particular, even the jacket James is wearing is the same.
    Email your comments to: gamecentral@metro.co.uk
    Seeing the future
    I know everyone likes to think of themselves as Nostradamus, but I have to admit I have absolutely no clue what Sony is planning for the PlayStation 6. A new console that is just the usual update, that sits under your TV, is easy enough to imagine but surely they’re not going to do that again?But the idea of having new home and portable machines that come out at the same time seems so unlikely to me. Surely the portable wouldn’t be a separate format, but I can’t see it being any kind of portable that runs its own games because it’d never be as powerful as the home machine. So, it’s really just a PlayStation Portal 2?
    Like I said, I don’t know, but for some reason I have a bad feeling about that the next gen and whatever Sony does end up unveiling. I suspect that whatever they and Microsoft does it’s going to end up making the Switch 2seem even more appealing by comparison.Gonch
    Hidden insight
    I’m not going to say that Welcome Tour is a good game but what I will say is that I found it very interesting at times and I’m actually kind of surprised that Nintendo revealed some of the information that they did. Most of it could probably be found out by reverse engineering it and just taking it apart but I’m still surprised it went into as much detail as it did.You’re right that it’s all presented in a very dull way but personally I found the ‘Insights’ to be the best part of the game. The minigames really are not very good and I was always glad when they were over. So, while I would not necessarily recommend the gameI would say that it can be of interest to people who have an interest in how consoles work and how Nintendo think.Mogwai
    Purchase privilege
    I’ve recently had the privilege of buying Clair Obscur: Expedition 33 from the website CDKeys, using a 10% discount code. I was lucky enough to only spend a total of £25.99; much cheaper than purchasing the title for console. If only Ubisoft had the foresight to see what they allowed to slip through their fingers. I’d also like to mention that from what I’ve read quite recently ,and a couple of mixed views, I don’t see myself cancelling my Switch 2. On the contrary, it just is coming across as a disappointment.From the battery life to the lack of launch titles, an empty open world is never a smart choice to make not even Mario is safe from that. That leaves the upcoming ROG Xbox Ally that’s recently been showcased and is set for an October launch.
    I won’t lie it does look in the same vein as the Switch 2, far too similar to the ROG Ally X model. Just with grips and a dedicated Xbox button. The Z2 Extreme chip has me intrigued, however. How much of a transcendental shift it makes is another question however. I’ll have to wait to receive official confirmation for a price and release date. But there’s also a Lenovo Legion Go 2 waiting in the wings. I hope we hear more information soon. Preferably before my 28th in August.Shahzaib Sadiq
    Tip of the iceberg
    Interesting to hear about Cyberpunk 2077 running well on the Switch 2. I think if they’re getting that kind of performance at launch, from a third party not use to working with Nintendo hardware, that bodes very well for the future.I think we’re probably underestimating the Switch 2 a lot at the moment and stuff we’ll be seeing in two or three years is going to be amazing, I predict. What I can’t predict is when we’ll hear about any of this. I really hope there’s a Nintendo Direct this week.Dano
    Changing opinions
    So just a little over a week with the Switch 2 and after initially feeling incredibly meh about the new console and Mario Kart a little more playtime has been more optimistic about the console and much more positive about Mario Kart World.It did feel odd having a new console from Nintendo that didn’t inspire that childlike excitement. An iterative upgrade isn’t very exciting and as I own a Steam Deck the advancements in processing weren’t all that exciting either. I can imagine someone who only bough an OG Switch back in 2017 really noticing the improvements but if you bought an OLED it’s basically a Switch Pro.
    The criminally low level of software support doesn’t help. I double dipped Street Fighter 6 only to discover I can’t transfer progress or DLC across from my Xbox, which sort of means if I want both profiles to have parity I have to buy everything twice! I also treated myself to a new Pro Controller and find using it for Street Fighter almost unplayable as the L and ZL buttons are far too easy to accidently press when playing.
    Mario Kart initially felt like more of the same and it was only after I made an effort to explore the world map, unlock characters and karts, and try the new grinding/ollie mechanic that it clicked. I am now really enjoying it, especially the remixed soundtracks.
    I do however want more Switch 2 exclusive experiences – going back through my back catalogue for improved frame rates doesn’t cut it Nintendo! As someone with a large digital library the system transfer was very frustrating and the new virtual cartridges are just awful – does a Switch 2 need to be online all the time now? Not the best idea for a portable system.
    So, the start of a new console lifecycle and hopefully lots of new IP – I suspect Nintendo will try and get us to revisit our back catalogues first though.BristolPete
    Inbox also-rans
    Just thought I would mention that if anyone’s interested in purchasing the Mortal Kombat 1 Definitive Edition, which includes all DLC, that it’s currently an absolute steal on the Xbox store at £21.99.Nick The GreekI’ve just won my first Knockout Tour online race on Mario Kart World! I’ve got to say, the feeling is magnificent.Rable

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    #games #inbox #would #xbox #ever
    Games Inbox: Would Xbox ever shut down Game Pass?
    Game Pass – will it continue forever?The Monday letters page struggles to predict what’s going to happen with the PlayStation 6, as one reader sees their opinion of the Switch 2 change over time. To join in with the discussions yourself email gamecentral@metro.co.uk Final Pass I agree with a lot of what was said about the current state of Xbox in the Reader’s Feature this weekend and how the more Microsoft spends, and the more companies they own, the less the seem to be in control. Which is very strange really.The biggest recent failure has got to be Game Pass, which has not had the impact they expected and yet they don’t seem ready to acknowledge that. If they’re thinking of increasing the price again, like those rumours say, then I think that will be the point at which you can draw a line under the whole idea and admit it’s never going to catch on. But would Microsoft ever shut down Game Pass completely? I feel that would almost be more humiliating than stopping making consoles, so I can’t really imagine it. Instead, they’ll make it more and more expensive and put more and more restrictions on day one games until it’s no longer recognisable.Grackle Panic button Strange to see Sony talking relatively openly about Nintendo and Microsoft as competition. I can’t remember the last time they mentioned either of them, even if they obviously would prefer not to have, if they hadn’t been asked by investors.At no point did they acknowledge that the Switch has completely outsold both their last two consoles, so I’m not sure where their confidence comes from. I guess it’s from the fact that they know they’ve done nothing this gen and still come out on top, so from their perspective they’ve got plenty in reserve. Expert, exclusive gaming analysis Sign up to the GameCentral newsletter for a unique take on the week in gaming, alongside the latest reviews and more. Delivered to your inbox every Saturday morning. Having your panic button being ‘do anything at all’ must be pretty reassuring really. Nintendo has had to work to get where they are with the Switch but Sony is just coasting it.Lupus James’ LadderJacob’s Ladder is a film I’ve been meaning to watch for a while, and I guessed the ending quite early on, but it feels like a Silent Hill film. I don’t know if you guys have seen it but it’s an excellent film and the hospital scene near the end, and the cages blocking off the underground early on, just remind me of the game. A depressing film overall but worth a watch.Simon GC: Jacob’s Ladder was as a major influence on Silent Hill 2 in particular, even the jacket James is wearing is the same. Email your comments to: gamecentral@metro.co.uk Seeing the future I know everyone likes to think of themselves as Nostradamus, but I have to admit I have absolutely no clue what Sony is planning for the PlayStation 6. A new console that is just the usual update, that sits under your TV, is easy enough to imagine but surely they’re not going to do that again?But the idea of having new home and portable machines that come out at the same time seems so unlikely to me. Surely the portable wouldn’t be a separate format, but I can’t see it being any kind of portable that runs its own games because it’d never be as powerful as the home machine. So, it’s really just a PlayStation Portal 2? Like I said, I don’t know, but for some reason I have a bad feeling about that the next gen and whatever Sony does end up unveiling. I suspect that whatever they and Microsoft does it’s going to end up making the Switch 2seem even more appealing by comparison.Gonch Hidden insight I’m not going to say that Welcome Tour is a good game but what I will say is that I found it very interesting at times and I’m actually kind of surprised that Nintendo revealed some of the information that they did. Most of it could probably be found out by reverse engineering it and just taking it apart but I’m still surprised it went into as much detail as it did.You’re right that it’s all presented in a very dull way but personally I found the ‘Insights’ to be the best part of the game. The minigames really are not very good and I was always glad when they were over. So, while I would not necessarily recommend the gameI would say that it can be of interest to people who have an interest in how consoles work and how Nintendo think.Mogwai Purchase privilege I’ve recently had the privilege of buying Clair Obscur: Expedition 33 from the website CDKeys, using a 10% discount code. I was lucky enough to only spend a total of £25.99; much cheaper than purchasing the title for console. If only Ubisoft had the foresight to see what they allowed to slip through their fingers. I’d also like to mention that from what I’ve read quite recently ,and a couple of mixed views, I don’t see myself cancelling my Switch 2. On the contrary, it just is coming across as a disappointment.From the battery life to the lack of launch titles, an empty open world is never a smart choice to make not even Mario is safe from that. That leaves the upcoming ROG Xbox Ally that’s recently been showcased and is set for an October launch. I won’t lie it does look in the same vein as the Switch 2, far too similar to the ROG Ally X model. Just with grips and a dedicated Xbox button. The Z2 Extreme chip has me intrigued, however. How much of a transcendental shift it makes is another question however. I’ll have to wait to receive official confirmation for a price and release date. But there’s also a Lenovo Legion Go 2 waiting in the wings. I hope we hear more information soon. Preferably before my 28th in August.Shahzaib Sadiq Tip of the iceberg Interesting to hear about Cyberpunk 2077 running well on the Switch 2. I think if they’re getting that kind of performance at launch, from a third party not use to working with Nintendo hardware, that bodes very well for the future.I think we’re probably underestimating the Switch 2 a lot at the moment and stuff we’ll be seeing in two or three years is going to be amazing, I predict. What I can’t predict is when we’ll hear about any of this. I really hope there’s a Nintendo Direct this week.Dano Changing opinions So just a little over a week with the Switch 2 and after initially feeling incredibly meh about the new console and Mario Kart a little more playtime has been more optimistic about the console and much more positive about Mario Kart World.It did feel odd having a new console from Nintendo that didn’t inspire that childlike excitement. An iterative upgrade isn’t very exciting and as I own a Steam Deck the advancements in processing weren’t all that exciting either. I can imagine someone who only bough an OG Switch back in 2017 really noticing the improvements but if you bought an OLED it’s basically a Switch Pro. The criminally low level of software support doesn’t help. I double dipped Street Fighter 6 only to discover I can’t transfer progress or DLC across from my Xbox, which sort of means if I want both profiles to have parity I have to buy everything twice! I also treated myself to a new Pro Controller and find using it for Street Fighter almost unplayable as the L and ZL buttons are far too easy to accidently press when playing. Mario Kart initially felt like more of the same and it was only after I made an effort to explore the world map, unlock characters and karts, and try the new grinding/ollie mechanic that it clicked. I am now really enjoying it, especially the remixed soundtracks. I do however want more Switch 2 exclusive experiences – going back through my back catalogue for improved frame rates doesn’t cut it Nintendo! As someone with a large digital library the system transfer was very frustrating and the new virtual cartridges are just awful – does a Switch 2 need to be online all the time now? Not the best idea for a portable system. So, the start of a new console lifecycle and hopefully lots of new IP – I suspect Nintendo will try and get us to revisit our back catalogues first though.BristolPete Inbox also-rans Just thought I would mention that if anyone’s interested in purchasing the Mortal Kombat 1 Definitive Edition, which includes all DLC, that it’s currently an absolute steal on the Xbox store at £21.99.Nick The GreekI’ve just won my first Knockout Tour online race on Mario Kart World! I’ve got to say, the feeling is magnificent.Rable More Trending Email your comments to: gamecentral@metro.co.uk The small printNew Inbox updates appear every weekday morning, with special Hot Topic Inboxes at the weekend. Readers’ letters are used on merit and may be edited for length and content. You can also submit your own 500 to 600-word Reader’s Feature at any time via email or our Submit Stuff page, which if used will be shown in the next available weekend slot. You can also leave your comments below and don’t forget to follow us on Twitter. Arrow MORE: Games Inbox: Is Mario Kart World too hard? GameCentral Sign up for exclusive analysis, latest releases, and bonus community content. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Your information will be used in line with our Privacy Policy #games #inbox #would #xbox #ever
    METRO.CO.UK
    Games Inbox: Would Xbox ever shut down Game Pass?
    Game Pass – will it continue forever? (Microsoft) The Monday letters page struggles to predict what’s going to happen with the PlayStation 6, as one reader sees their opinion of the Switch 2 change over time. To join in with the discussions yourself email gamecentral@metro.co.uk Final Pass I agree with a lot of what was said about the current state of Xbox in the Reader’s Feature this weekend and how the more Microsoft spends, and the more companies they own, the less the seem to be in control. Which is very strange really.The biggest recent failure has got to be Game Pass, which has not had the impact they expected and yet they don’t seem ready to acknowledge that. If they’re thinking of increasing the price again, like those rumours say, then I think that will be the point at which you can draw a line under the whole idea and admit it’s never going to catch on. But would Microsoft ever shut down Game Pass completely? I feel that would almost be more humiliating than stopping making consoles, so I can’t really imagine it. Instead, they’ll make it more and more expensive and put more and more restrictions on day one games until it’s no longer recognisable.Grackle Panic button Strange to see Sony talking relatively openly about Nintendo and Microsoft as competition. I can’t remember the last time they mentioned either of them, even if they obviously would prefer not to have, if they hadn’t been asked by investors.At no point did they acknowledge that the Switch has completely outsold both their last two consoles, so I’m not sure where their confidence comes from. I guess it’s from the fact that they know they’ve done nothing this gen and still come out on top, so from their perspective they’ve got plenty in reserve. Expert, exclusive gaming analysis Sign up to the GameCentral newsletter for a unique take on the week in gaming, alongside the latest reviews and more. Delivered to your inbox every Saturday morning. Having your panic button being ‘do anything at all’ must be pretty reassuring really. Nintendo has had to work to get where they are with the Switch but Sony is just coasting it.Lupus James’ LadderJacob’s Ladder is a film I’ve been meaning to watch for a while, and I guessed the ending quite early on, but it feels like a Silent Hill film. I don’t know if you guys have seen it but it’s an excellent film and the hospital scene near the end, and the cages blocking off the underground early on, just remind me of the game. A depressing film overall but worth a watch.Simon GC: Jacob’s Ladder was as a major influence on Silent Hill 2 in particular, even the jacket James is wearing is the same. Email your comments to: gamecentral@metro.co.uk Seeing the future I know everyone likes to think of themselves as Nostradamus, but I have to admit I have absolutely no clue what Sony is planning for the PlayStation 6. A new console that is just the usual update, that sits under your TV, is easy enough to imagine but surely they’re not going to do that again?But the idea of having new home and portable machines that come out at the same time seems so unlikely to me. Surely the portable wouldn’t be a separate format, but I can’t see it being any kind of portable that runs its own games because it’d never be as powerful as the home machine. So, it’s really just a PlayStation Portal 2? Like I said, I don’t know, but for some reason I have a bad feeling about that the next gen and whatever Sony does end up unveiling. I suspect that whatever they and Microsoft does it’s going to end up making the Switch 2 (and PC) seem even more appealing by comparison.Gonch Hidden insight I’m not going to say that Welcome Tour is a good game but what I will say is that I found it very interesting at times and I’m actually kind of surprised that Nintendo revealed some of the information that they did. Most of it could probably be found out by reverse engineering it and just taking it apart but I’m still surprised it went into as much detail as it did.You’re right that it’s all presented in a very dull way but personally I found the ‘Insights’ to be the best part of the game. The minigames really are not very good and I was always glad when they were over. So, while I would not necessarily recommend the game (it’s not really a game) I would say that it can be of interest to people who have an interest in how consoles work and how Nintendo think.Mogwai Purchase privilege I’ve recently had the privilege of buying Clair Obscur: Expedition 33 from the website CDKeys, using a 10% discount code. I was lucky enough to only spend a total of £25.99; much cheaper than purchasing the title for console. If only Ubisoft had the foresight to see what they allowed to slip through their fingers. I’d also like to mention that from what I’ve read quite recently ,and a couple of mixed views, I don’t see myself cancelling my Switch 2. On the contrary, it just is coming across as a disappointment.From the battery life to the lack of launch titles, an empty open world is never a smart choice to make not even Mario is safe from that. That leaves the upcoming ROG Xbox Ally that’s recently been showcased and is set for an October launch. I won’t lie it does look in the same vein as the Switch 2, far too similar to the ROG Ally X model. Just with grips and a dedicated Xbox button. The Z2 Extreme chip has me intrigued, however. How much of a transcendental shift it makes is another question however. I’ll have to wait to receive official confirmation for a price and release date. But there’s also a Lenovo Legion Go 2 waiting in the wings. I hope we hear more information soon. Preferably before my 28th in August.Shahzaib Sadiq Tip of the iceberg Interesting to hear about Cyberpunk 2077 running well on the Switch 2. I think if they’re getting that kind of performance at launch, from a third party not use to working with Nintendo hardware, that bodes very well for the future.I think we’re probably underestimating the Switch 2 a lot at the moment and stuff we’ll be seeing in two or three years is going to be amazing, I predict. What I can’t predict is when we’ll hear about any of this. I really hope there’s a Nintendo Direct this week.Dano Changing opinions So just a little over a week with the Switch 2 and after initially feeling incredibly meh about the new console and Mario Kart a little more playtime has been more optimistic about the console and much more positive about Mario Kart World.It did feel odd having a new console from Nintendo that didn’t inspire that childlike excitement. An iterative upgrade isn’t very exciting and as I own a Steam Deck the advancements in processing weren’t all that exciting either. I can imagine someone who only bough an OG Switch back in 2017 really noticing the improvements but if you bought an OLED it’s basically a Switch Pro (minus the OLED). The criminally low level of software support doesn’t help. I double dipped Street Fighter 6 only to discover I can’t transfer progress or DLC across from my Xbox, which sort of means if I want both profiles to have parity I have to buy everything twice! I also treated myself to a new Pro Controller and find using it for Street Fighter almost unplayable as the L and ZL buttons are far too easy to accidently press when playing. Mario Kart initially felt like more of the same and it was only after I made an effort to explore the world map, unlock characters and karts, and try the new grinding/ollie mechanic that it clicked. I am now really enjoying it, especially the remixed soundtracks. I do however want more Switch 2 exclusive experiences – going back through my back catalogue for improved frame rates doesn’t cut it Nintendo! As someone with a large digital library the system transfer was very frustrating and the new virtual cartridges are just awful – does a Switch 2 need to be online all the time now? Not the best idea for a portable system. So, the start of a new console lifecycle and hopefully lots of new IP – I suspect Nintendo will try and get us to revisit our back catalogues first though.BristolPete Inbox also-rans Just thought I would mention that if anyone’s interested in purchasing the Mortal Kombat 1 Definitive Edition, which includes all DLC, that it’s currently an absolute steal on the Xbox store at £21.99.Nick The GreekI’ve just won my first Knockout Tour online race on Mario Kart World! I’ve got to say, the feeling is magnificent.Rable More Trending Email your comments to: gamecentral@metro.co.uk The small printNew Inbox updates appear every weekday morning, with special Hot Topic Inboxes at the weekend. Readers’ letters are used on merit and may be edited for length and content. You can also submit your own 500 to 600-word Reader’s Feature at any time via email or our Submit Stuff page, which if used will be shown in the next available weekend slot. You can also leave your comments below and don’t forget to follow us on Twitter. Arrow MORE: Games Inbox: Is Mario Kart World too hard? GameCentral Sign up for exclusive analysis, latest releases, and bonus community content. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Your information will be used in line with our Privacy Policy
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  • AU Deals: Today's Hottest AAA Discounts to Heat Up Your Game Cave Winter Hibernation

    Winter is well and truly biting, but this fresh crop of game deals is bringing the heat. From mythological mayhem to pocket-sized platformers, there’s something here for every taste and timeframe. If your digital shelf could use a mid-year injection of chaos, charm, or challenge, this week’s offerings are primed to please.This Day in Gaming In retro news, I’m lighting a 26‑candle cake for Silent Hill, the fog‑laden survival horror fest that kept '99-era me perched on a seat with barely 2% of the surface area of one butt cheek. I still remember tentatively sweeping my flashlight across those grainy, polygonal streets, only to have the beam half illuminate some scurrying something in the dark.
    Though the OG Resident Evil certainly vexed me first, the unique magic of Silent Hill lay in how its graphical limitations—thick fog and encroaching darkness—became tools of terror rather than platform limitations. Every ring of static from your radio or *that* air raid siren heralding the "other plane" of this madhouse could ratchet up the dread in an instant. Lastly, I recall working game retail at launch and having to help absolutely bloody everybody with a solution to the piano puzzle.Tank controls andbugger all visibility. OG Silent Hill was terrifying.Aussie bdays for notable games- Silent Hill1999. Redux- Marvel vs. Capcom 22000. Redux- The Conduit2009. eBay- Monster Hunter Generations2016. eBayContentsNice Savings for Nintendo SwitchAvailable now!Nintendo Switch 2 ConsoleNintendo Switch 2 + Mario Kart WorldNintendo kicks things off with Persona 5 Royal for Aa lavishly expanded edition of the genre-defining RPG whose original director Katsura Hashino was inspired by Carl Jung’s theories of the psyche. Also worth nabbing is Bravely Default II at Aa spiritual twinner to the Final Fantasy titles that’s cheekily packed with nostalgic mechanics like turning off random encounters to power-level in peace.Persona 5 Royal- ABravely Default II- ASonic Frontiers- ASonic x Shadow Generations- ANBA 2K25- AMetal Gear Col.- AExpiring Recent DealsOr gift a Nintendo eShop Card.Switch Console PricesHow much to Switch it up?Switch OLED + Mario Wonder: $̶5̶3̶9̶ |
    Switch Original: $̶4̶9̶9̶ |
    Switch OLED Black: $̶5̶3̶9̶ |
    Switch OLED White: $̶5̶3̶9̶ ♥ |
    Switch Lite: $̶3̶2̶9̶ |
    Switch Lite Hyrule: $̶3̶3̶9̶ See itBack to topExciting Bargains for Xbox Over on Xbox Series X, Warhammer 40,000: Space Marine 2 is slashing skulls and prices at Afinally giving fans the long-awaited sequel to one of gaming’s most satisfyingly weighty shooters. Suicide Squad: Kill the Justice League is an outrageous Aand despite its rocky reception, it’s a fascinating look at how Batman: Arkham devs tried to blend looter-shooter DNA into their universe.40K Space Marine 2- ASuicide Squad: KTJL- AWild Hearts- AAvatar: Pandora Gold Ed.- AHogwarts Legacy- AXbox OneTopSpin 2K25- ASunset Overdrive- AAlan Wake Rem.- AExpiring Recent DealsThe Witcher 3 Comp.- ATekken 8- ANBA 2K25- AFarming Simulator 25- AFC 25- ARed Dead Redemption 2- ALies of P- ALego Jurassic World- AOr just invest in an Xbox Card.Xbox Console PricesHow many bucks for a 'Box? Series X: $̶7̶9̶9̶ |
    Series S Black: $̶5̶4̶9̶ |
    Series S White:$̶4̶9̶9̶ |
    Series S Starter: N/ASee itBack to topPure Scores for PlayStationFor PS5 players, Marvel’s Spider-Man: Miles Morales swings down to Aletting you sling through Harlem while wearing everything from a Bodega Cat suit to a Spider-Verse frame-rate filter. Meanwhile, Ratchet & Clank: Rift Apart for Ais a tech marvel that started life as a PS4 title, before being fully rebuilt to show off the PS5’s SSD.PS4God of War Ragnarök- AGran Turismo 7- AWatch Dogs: Legion- AExpiring Recent DealsPS+ Monthly FreebiesYours to keep from May 1 with this subscriptionArk: Survival AscendedBalatroWarhammer 40,000: BoltgunOr purchase a PS Store Card.What you'll pay to 'Station.PS5 + Astro Bot:$̶7̶2̶4̶.9̶5̶ |
    PS5 Slim Disc:$̶7̶9̶9̶ |
    PS5 Slim Digital:6̶7̶9̶ |
    PS5 Pro $̶1̶,1̶9̶9̶ |
    PS VR2: |
    PS VR2 + Horizon: |
    PS Portal: See itBack to topPurchase Cheap for PCOn PC, Resident Evil 4 is a steal at Aa stunning remake where the developers added extra charm to Leon’s famous “Where’s everyone going, bingo?” line by letting players unlock vintage filters that emulate 2005-era graphics. Also notable is Lies of P at Athe Pinocchio-meets-Bloodborne mash-up that lets you lie in dialogue choices for combat perks.Lies of P- AThe Alters- AClair Obscur: Expedition 33- ASilent Hill 2- AForza Horizon 5- AResident Evil 4- AExpiring Recent DealsOr just get a Steam Wallet CardPC Hardware PricesSlay your pile of shame.Official launch in NovSteam Deck 256GB LCD: |
    Steam Deck 512GB OLED: |
    Steam Deck 1TB OLED: See it at SteamLaptop DealsDesktop DealsLenovo neo 50a G5 27" AIO– ALenovo neo 50q G4 Tiny– ALenovo neo 50t G5 Tower– ALegion Tower 5i G8– AMonitor DealsSamsung QE50T 50"– AARZOPA 16.1" 144Hz– AZ-Edge 27" 240Hz– AGawfolk 34" WQHD– ALG 27" Ultragear– AComponent DealsStorage DealsBack to topLegit LEGO DealsExpiring Recent DealsBack to topHot Headphones DealsAudiophilia for lessBose QuietComfort Ultra Wireless– ASoundcore by Anker Q20i– ASony MDR7506 Professional– ATechnics Premium– ABose SoundLink Flex– AJBL Charge 5 - Portable Speaker– AJBL Flip Essential 2 Waterproof Speaker– ASony SRS-XB100 Travel Speaker– AUltimate Ears Boom 3 Portable Speaker– ASamsung Galaxy Buds2 Pro– ASennheiser Momentum 4 Wireless– ABack to topTerrific TV DealsDo right by your console, upgrade your tellyLG 43" UT80 4K– AKogan 65" QLED 4K– AKogan 55" QLED 4K– ALG 55" UT80 4K– APrism+ Q75 Ultra 75" 4K QLED– AGaimoo Mini Projector 1080p w/ 4K– AGooDee 4K Projector– AVOPLLS Mini Projector 4K– AXuanPad Mini Projector– ALG S70TY Q Series Sound Barn*-22%) – ASony HTG700 Atmos Soundbar– AYamaha NS-SW050 Subwoofer– ASmart Home DealsBack to top Adam Mathew is our Aussie deals wrangler. He plays practically everything, often on YouTube.
    #deals #today039s #hottest #aaa #discounts
    AU Deals: Today's Hottest AAA Discounts to Heat Up Your Game Cave Winter Hibernation
    Winter is well and truly biting, but this fresh crop of game deals is bringing the heat. From mythological mayhem to pocket-sized platformers, there’s something here for every taste and timeframe. If your digital shelf could use a mid-year injection of chaos, charm, or challenge, this week’s offerings are primed to please.This Day in Gaming 🎂In retro news, I’m lighting a 26‑candle cake for Silent Hill, the fog‑laden survival horror fest that kept '99-era me perched on a seat with barely 2% of the surface area of one butt cheek. I still remember tentatively sweeping my flashlight across those grainy, polygonal streets, only to have the beam half illuminate some scurrying something in the dark. Though the OG Resident Evil certainly vexed me first, the unique magic of Silent Hill lay in how its graphical limitations—thick fog and encroaching darkness—became tools of terror rather than platform limitations. Every ring of static from your radio or *that* air raid siren heralding the "other plane" of this madhouse could ratchet up the dread in an instant. Lastly, I recall working game retail at launch and having to help absolutely bloody everybody with a solution to the piano puzzle.Tank controls andbugger all visibility. OG Silent Hill was terrifying.Aussie bdays for notable games- Silent Hill1999. Redux- Marvel vs. Capcom 22000. Redux- The Conduit2009. eBay- Monster Hunter Generations2016. eBayContentsNice Savings for Nintendo SwitchAvailable now!Nintendo Switch 2 ConsoleNintendo Switch 2 + Mario Kart WorldNintendo kicks things off with Persona 5 Royal for Aa lavishly expanded edition of the genre-defining RPG whose original director Katsura Hashino was inspired by Carl Jung’s theories of the psyche. Also worth nabbing is Bravely Default II at Aa spiritual twinner to the Final Fantasy titles that’s cheekily packed with nostalgic mechanics like turning off random encounters to power-level in peace.Persona 5 Royal- ABravely Default II- ASonic Frontiers- ASonic x Shadow Generations- ANBA 2K25- AMetal Gear Col.- AExpiring Recent DealsOr gift a Nintendo eShop Card.Switch Console PricesHow much to Switch it up?Switch OLED + Mario Wonder: $̶5̶3̶9̶ | Switch Original: $̶4̶9̶9̶ | Switch OLED Black: $̶5̶3̶9̶ | Switch OLED White: $̶5̶3̶9̶ ♥ | Switch Lite: $̶3̶2̶9̶ | Switch Lite Hyrule: $̶3̶3̶9̶ See itBack to topExciting Bargains for Xbox Over on Xbox Series X, Warhammer 40,000: Space Marine 2 is slashing skulls and prices at Afinally giving fans the long-awaited sequel to one of gaming’s most satisfyingly weighty shooters. Suicide Squad: Kill the Justice League is an outrageous Aand despite its rocky reception, it’s a fascinating look at how Batman: Arkham devs tried to blend looter-shooter DNA into their universe.40K Space Marine 2- ASuicide Squad: KTJL- AWild Hearts- AAvatar: Pandora Gold Ed.- AHogwarts Legacy- AXbox OneTopSpin 2K25- ASunset Overdrive- AAlan Wake Rem.- AExpiring Recent DealsThe Witcher 3 Comp.- ATekken 8- ANBA 2K25- AFarming Simulator 25- AFC 25- ARed Dead Redemption 2- ALies of P- ALego Jurassic World- AOr just invest in an Xbox Card.Xbox Console PricesHow many bucks for a 'Box? Series X: $̶7̶9̶9̶ 👑| Series S Black: $̶5̶4̶9̶ | Series S White:$̶4̶9̶9̶ | Series S Starter: N/ASee itBack to topPure Scores for PlayStationFor PS5 players, Marvel’s Spider-Man: Miles Morales swings down to Aletting you sling through Harlem while wearing everything from a Bodega Cat suit to a Spider-Verse frame-rate filter. Meanwhile, Ratchet & Clank: Rift Apart for Ais a tech marvel that started life as a PS4 title, before being fully rebuilt to show off the PS5’s SSD.PS4God of War Ragnarök- AGran Turismo 7- AWatch Dogs: Legion- AExpiring Recent DealsPS+ Monthly FreebiesYours to keep from May 1 with this subscriptionArk: Survival AscendedBalatroWarhammer 40,000: BoltgunOr purchase a PS Store Card.What you'll pay to 'Station.PS5 + Astro Bot:$̶7̶2̶4̶.9̶5̶ 👑 | PS5 Slim Disc:$̶7̶9̶9̶ | PS5 Slim Digital:6̶7̶9̶ | PS5 Pro $̶1̶,1̶9̶9̶ | PS VR2: | PS VR2 + Horizon: | PS Portal: See itBack to topPurchase Cheap for PCOn PC, Resident Evil 4 is a steal at Aa stunning remake where the developers added extra charm to Leon’s famous “Where’s everyone going, bingo?” line by letting players unlock vintage filters that emulate 2005-era graphics. Also notable is Lies of P at Athe Pinocchio-meets-Bloodborne mash-up that lets you lie in dialogue choices for combat perks.Lies of P- AThe Alters- AClair Obscur: Expedition 33- ASilent Hill 2- AForza Horizon 5- AResident Evil 4- AExpiring Recent DealsOr just get a Steam Wallet CardPC Hardware PricesSlay your pile of shame.Official launch in NovSteam Deck 256GB LCD: | Steam Deck 512GB OLED: | Steam Deck 1TB OLED: See it at SteamLaptop DealsDesktop DealsLenovo neo 50a G5 27" AIO– ALenovo neo 50q G4 Tiny– ALenovo neo 50t G5 Tower– ALegion Tower 5i G8– AMonitor DealsSamsung QE50T 50"– AARZOPA 16.1" 144Hz– AZ-Edge 27" 240Hz– AGawfolk 34" WQHD– ALG 27" Ultragear– AComponent DealsStorage DealsBack to topLegit LEGO DealsExpiring Recent DealsBack to topHot Headphones DealsAudiophilia for lessBose QuietComfort Ultra Wireless– ASoundcore by Anker Q20i– ASony MDR7506 Professional– ATechnics Premium– ABose SoundLink Flex– AJBL Charge 5 - Portable Speaker– AJBL Flip Essential 2 Waterproof Speaker– ASony SRS-XB100 Travel Speaker– AUltimate Ears Boom 3 Portable Speaker– ASamsung Galaxy Buds2 Pro– ASennheiser Momentum 4 Wireless– ABack to topTerrific TV DealsDo right by your console, upgrade your tellyLG 43" UT80 4K– AKogan 65" QLED 4K– AKogan 55" QLED 4K– ALG 55" UT80 4K– APrism+ Q75 Ultra 75" 4K QLED– AGaimoo Mini Projector 1080p w/ 4K– AGooDee 4K Projector– AVOPLLS Mini Projector 4K– AXuanPad Mini Projector– ALG S70TY Q Series Sound Barn*-22%) – ASony HTG700 Atmos Soundbar– AYamaha NS-SW050 Subwoofer– ASmart Home DealsBack to top Adam Mathew is our Aussie deals wrangler. He plays practically everything, often on YouTube. #deals #today039s #hottest #aaa #discounts
    WWW.IGN.COM
    AU Deals: Today's Hottest AAA Discounts to Heat Up Your Game Cave Winter Hibernation
    Winter is well and truly biting, but this fresh crop of game deals is bringing the heat. From mythological mayhem to pocket-sized platformers, there’s something here for every taste and timeframe. If your digital shelf could use a mid-year injection of chaos, charm, or challenge, this week’s offerings are primed to please.This Day in Gaming 🎂In retro news, I’m lighting a 26‑candle cake for Silent Hill, the fog‑laden survival horror fest that kept '99-era me perched on a seat with barely 2% of the surface area of one butt cheek. I still remember tentatively sweeping my flashlight across those grainy, polygonal streets, only to have the beam half illuminate some scurrying something in the dark. Though the OG Resident Evil certainly vexed me first, the unique magic of Silent Hill lay in how its graphical limitations—thick fog and encroaching darkness—became tools of terror rather than platform limitations. Every ring of static from your radio or *that* air raid siren heralding the "other plane" of this madhouse could ratchet up the dread in an instant. Lastly, I recall working game retail at launch and having to help absolutely bloody everybody with a solution to the piano puzzle.Tank controls and (hardware induced) bugger all visibility. OG Silent Hill was terrifying.Aussie bdays for notable games- Silent Hill (PS) 1999. Redux- Marvel vs. Capcom 2 (DC) 2000. Redux- The Conduit (Wii) 2009. eBay- Monster Hunter Generations (3DS) 2016. eBayContentsNice Savings for Nintendo SwitchAvailable now!Nintendo Switch 2 ConsoleNintendo Switch 2 + Mario Kart WorldNintendo kicks things off with Persona 5 Royal for A$66.60, a lavishly expanded edition of the genre-defining RPG whose original director Katsura Hashino was inspired by Carl Jung’s theories of the psyche. Also worth nabbing is Bravely Default II at A$63.10, a spiritual twinner to the Final Fantasy titles that’s cheekily packed with nostalgic mechanics like turning off random encounters to power-level in peace.Persona 5 Royal (-33%) - A$66.60Bravely Default II (-21%) - A$63.10Sonic Frontiers (-53%) - A$47Sonic x Shadow Generations (-35%) - A$49NBA 2K25 (-79%) - A$19Metal Gear Col. (-50%) - A$45Expiring Recent DealsOr gift a Nintendo eShop Card.Switch Console PricesHow much to Switch it up?Switch OLED + Mario Wonder: $̶5̶3̶9̶ $538 | Switch Original: $̶4̶9̶9̶ $448 | Switch OLED Black: $̶5̶3̶9̶ $469 | Switch OLED White: $̶5̶3̶9̶ $449 ♥ | Switch Lite: $̶3̶2̶9̶ $328 | Switch Lite Hyrule: $̶3̶3̶9̶ $335See itBack to topExciting Bargains for Xbox Over on Xbox Series X, Warhammer 40,000: Space Marine 2 is slashing skulls and prices at A$49.90, finally giving fans the long-awaited sequel to one of gaming’s most satisfyingly weighty shooters. Suicide Squad: Kill the Justice League is an outrageous A$9.90, and despite its rocky reception, it’s a fascinating look at how Batman: Arkham devs tried to blend looter-shooter DNA into their universe.40K Space Marine 2 (-54%) - A$49.90Suicide Squad: KTJL (-91%) - A$9.90Wild Hearts (-83%) - A$19Avatar: Pandora Gold Ed. (-69%) - A$49.90Hogwarts Legacy (-75%) - A$27.40Xbox OneTopSpin 2K25 (-88%) - A$14.90Sunset Overdrive (-36%) - A$19.20Alan Wake Rem. (-85%) - A$6.70Expiring Recent DealsThe Witcher 3 Comp. (-56%) - A$34.80Tekken 8 (-53%) - A$39.90NBA 2K25 (-80%) - A$24Farming Simulator 25 (-32%) - A$68FC 25 (-57%) - A$34Red Dead Redemption 2 (-78%) - A$20Lies of P (-19%) - A$73Lego Jurassic World (-65%) - A$22.50Or just invest in an Xbox Card.Xbox Console PricesHow many bucks for a 'Box? Series X: $̶7̶9̶9̶ $724 👑| Series S Black: $̶5̶4̶9̶ $545 | Series S White:$̶4̶9̶9̶ $498 | Series S Starter: N/ASee itBack to topPure Scores for PlayStationFor PS5 players, Marvel’s Spider-Man: Miles Morales swings down to A$39, letting you sling through Harlem while wearing everything from a Bodega Cat suit to a Spider-Verse frame-rate filter. 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  • How AI is reshaping the future of healthcare and medical research

    Transcript       
    PETER LEE: “In ‘The Little Black Bag,’ a classic science fiction story, a high-tech doctor’s kit of the future is accidentally transported back to the 1950s, into the shaky hands of a washed-up, alcoholic doctor. The ultimate medical tool, it redeems the doctor wielding it, allowing him to practice gratifyingly heroic medicine. … The tale ends badly for the doctor and his treacherous assistant, but it offered a picture of how advanced technology could transform medicine—powerful when it was written nearly 75 years ago and still so today. What would be the Al equivalent of that little black bag? At this moment when new capabilities are emerging, how do we imagine them into medicine?”          
    This is The AI Revolution in Medicine, Revisited. I’m your host, Peter Lee.   
    Shortly after OpenAI’s GPT-4 was publicly released, Carey Goldberg, Dr. Zak Kohane, and I published The AI Revolution in Medicine to help educate the world of healthcare and medical research about the transformative impact this new generative AI technology could have. But because we wrote the book when GPT-4 was still a secret, we had to speculate. Now, two years later, what did we get right, and what did we get wrong?    
    In this series, we’ll talk to clinicians, patients, hospital administrators, and others to understand the reality of AI in the field and where we go from here.  The book passage I read at the top is from “Chapter 10: The Big Black Bag.” 
    In imagining AI in medicine, Carey, Zak, and I included in our book two fictional accounts. In the first, a medical resident consults GPT-4 on her personal phone as the patient in front of her crashes. Within seconds, it offers an alternate response based on recent literature. In the second account, a 90-year-old woman with several chronic conditions is living independently and receiving near-constant medical support from an AI aide.   
    In our conversations with the guests we’ve spoken to so far, we’ve caught a glimpse of these predicted futures, seeing how clinicians and patients are actually using AI today and how developers are leveraging the technology in the healthcare products and services they’re creating. In fact, that first fictional account isn’t so fictional after all, as most of the doctors in the real world actually appear to be using AI at least occasionally—and sometimes much more than occasionally—to help in their daily clinical work. And as for the second fictional account, which is more of a science fiction account, it seems we are indeed on the verge of a new way of delivering and receiving healthcare, though the future is still very much open. 
    As we continue to examine the current state of AI in healthcare and its potential to transform the field, I’m pleased to welcome Bill Gates and Sébastien Bubeck.  
    Bill may be best known as the co-founder of Microsoft, having created the company with his childhood friend Paul Allen in 1975. He’s now the founder of Breakthrough Energy, which aims to advance clean energy innovation, and TerraPower, a company developing groundbreaking nuclear energy and science technologies. He also chairs the world’s largest philanthropic organization, the Gates Foundation, and focuses on solving a variety of health challenges around the globe and here at home. 
    Sébastien is a research lead at OpenAI. He was previously a distinguished scientist, vice president of AI, and a colleague of mine here at Microsoft, where his work included spearheading the development of the family of small language models known as Phi. While at Microsoft, he also coauthored the discussion-provoking 2023 paper “Sparks of Artificial General Intelligence,” which presented the results of early experiments with GPT-4 conducted by a small team from Microsoft Research.     
    Here’s my conversation with Bill Gates and Sébastien Bubeck. 
    LEE: Bill, welcome. 
    BILL GATES: Thank you. 
    LEE: Seb … 
    SÉBASTIEN BUBECK: Yeah. Hi, hi, Peter. Nice to be here. 
    LEE: You know, one of the things that I’ve been doing just to get the conversation warmed up is to talk about origin stories, and what I mean about origin stories is, you know, what was the first contact that you had with large language models or the concept of generative AI that convinced you or made you think that something really important was happening? 
    And so, Bill, I think I’ve heard the story about, you know, the time when the OpenAI folks—Sam Altman, Greg Brockman, and others—showed you something, but could we hear from you what those early encounters were like and what was going through your mind?  
    GATES: Well, I’d been visiting OpenAI soon after it was created to see things like GPT-2 and to see the little arm they had that was trying to match human manipulation and, you know, looking at their games like Dota that they were trying to get as good as human play. And honestly, I didn’t think the language model stuff they were doing, even when they got to GPT-3, would show the ability to learn, you know, in the same sense that a human reads a biology book and is able to take that knowledge and access it not only to pass a test but also to create new medicines. 
    And so my challenge to them was that if their LLM could get a five on the advanced placement biology test, then I would say, OK, it took biologic knowledge and encoded it in an accessible way and that I didn’t expect them to do that very quickly but it would be profound.  
    And it was only about six months after I challenged them to do that, that an early version of GPT-4 they brought up to a dinner at my house, and in fact, it answered most of the questions that night very well. The one it got totally wrong, we were … because it was so good, we kept thinking, Oh, we must be wrong. It turned out it was a math weaknessthat, you know, we later understood that that was an area of, weirdly, of incredible weakness of those early models. But, you know, that was when I realized, OK, the age of cheap intelligence was at its beginning. 
    LEE: Yeah. So I guess it seems like you had something similar to me in that my first encounters, I actually harbored some skepticism. Is it fair to say you were skeptical before that? 
    GATES: Well, the idea that we’ve figured out how to encode and access knowledge in this very deep sense without even understanding the nature of the encoding, … 
    LEE: Right.  
    GATES: … that is a bit weird.  
    LEE: Yeah. 
    GATES: We have an algorithm that creates the computation, but even say, OK, where is the president’s birthday stored in there? Where is this fact stored in there? The fact that even now when we’re playing around, getting a little bit more sense of it, it’s opaque to us what the semantic encoding is, it’s, kind of, amazing to me. I thought the invention of knowledge storage would be an explicit way of encoding knowledge, not an implicit statistical training. 
    LEE: Yeah, yeah. All right. So, Seb, you know, on this same topic, you know, I got—as we say at Microsoft—I got pulled into the tent. 
    BUBECK: Yes.  
    LEE: Because this was a very secret project. And then, um, I had the opportunity to select a small number of researchers in MSRto join and start investigating this thing seriously. And the first person I pulled in was you. 
    BUBECK: Yeah. 
    LEE: And so what were your first encounters? Because I actually don’t remember what happened then. 
    BUBECK: Oh, I remember it very well.My first encounter with GPT-4 was in a meeting with the two of you, actually. But my kind of first contact, the first moment where I realized that something was happening with generative AI, was before that. And I agree with Bill that I also wasn’t too impressed by GPT-3. 
    I though that it was kind of, you know, very naturally mimicking the web, sort of parroting what was written there in a nice way. Still in a way which seemed very impressive. But it wasn’t really intelligent in any way. But shortly after GPT-3, there was a model before GPT-4 that really shocked me, and this was the first image generation model, DALL-E 1. 
    So that was in 2021. And I will forever remember the press release of OpenAI where they had this prompt of an avocado chair and then you had this image of the avocado chair.And what really shocked me is that clearly the model kind of “understood” what is a chair, what is an avocado, and was able to merge those concepts. 
    So this was really, to me, the first moment where I saw some understanding in those models.  
    LEE: So this was, just to get the timing right, that was before I pulled you into the tent. 
    BUBECK: That was before. That was like a year before. 
    LEE: Right.  
    BUBECK: And now I will tell you how, you know, we went from that moment to the meeting with the two of you and GPT-4. 
    So once I saw this kind of understanding, I thought, OK, fine. It understands concept, but it’s still not able to reason. It cannot—as, you know, Bill was saying—it cannot learn from your document. It cannot reason.  
    So I set out to try to prove that. You know, this is what I was in the business of at the time, trying to prove things in mathematics. So I was trying to prove that basically autoregressive transformers could never reason. So I was trying to prove this. And after a year of work, I had something reasonable to show. And so I had the meeting with the two of you, and I had this example where I wanted to say, there is no way that an LLM is going to be able to do x. 
    And then as soon as I … I don’t know if you remember, Bill. But as soon as I said that, you said, oh, but wait a second. I had, you know, the OpenAI crew at my house recently, and they showed me a new model. Why don’t we ask this new model this question?  
    LEE: Yeah.
    BUBECK: And we did, and it solved it on the spot. And that really, honestly, just changed my life. Like, you know, I had been working for a year trying to say that this was impossible. And just right there, it was shown to be possible.  
    LEE:One of the very first things I got interested in—because I was really thinking a lot about healthcare—was healthcare and medicine. 
    And I don’t know if the two of you remember, but I ended up doing a lot of tests. I ran through, you know, step one and step two of the US Medical Licensing Exam. Did a whole bunch of other things. I wrote this big report. It was, you know, I can’t remember … a couple hundred pages.  
    And I needed to share this with someone. I didn’t … there weren’t too many people I could share it with. So I sent, I think, a copy to you, Bill. Sent a copy to you, Seb.  
    I hardly slept for about a week putting that report together. And, yeah, and I kept working on it. But I was far from alone. I think everyone who was in the tent, so to speak, in those early days was going through something pretty similar. All right. So I think … of course, a lot of what I put in the report also ended up being examples that made it into the book. 
    But the main purpose of this conversation isn’t to reminisce aboutor indulge in those reminiscences but to talk about what’s happening in healthcare and medicine. And, you know, as I said, we wrote this book. We did it very, very quickly. Seb, you helped. Bill, you know, you provided a review and some endorsements. 
    But, you know, honestly, we didn’t know what we were talking about because no one had access to this thing. And so we just made a bunch of guesses. So really, the whole thing I wanted to probe with the two of you is, now with two years of experience out in the world, what, you know, what do we think is happening today? 
    You know, is AI actually having an impact, positive or negative, on healthcare and medicine? And what do we now think is going to happen in the next two years, five years, or 10 years? And so I realize it’s a little bit too abstract to just ask it that way. So let me just try to narrow the discussion and guide us a little bit.  
    Um, the kind of administrative and clerical work, paperwork, around healthcare—and we made a lot of guesses about that—that appears to be going well, but, you know, Bill, I know we’ve discussed that sometimes that you think there ought to be a lot more going on. Do you have a viewpoint on how AI is actually finding its way into reducing paperwork? 
    GATES: Well, I’m stunned … I don’t think there should be a patient-doctor meeting where the AI is not sitting in and both transcribing, offering to help with the paperwork, and even making suggestions, although the doctor will be the one, you know, who makes the final decision about the diagnosis and whatever prescription gets done.  
    It’s so helpful. You know, when that patient goes home and their, you know, son who wants to understand what happened has some questions, that AI should be available to continue that conversation. And the way you can improve that experience and streamline things and, you know, involve the people who advise you. I don’t understand why that’s not more adopted, because there you still have the human in the loop making that final decision. 
    But even for, like, follow-up calls to make sure the patient did things, to understand if they have concerns and knowing when to escalate back to the doctor, the benefit is incredible. And, you know, that thing is ready for prime time. That paradigm is ready for prime time, in my view. 
    LEE: Yeah, there are some good products, but it seems like the number one use right now—and we kind of got this from some of the previous guests in previous episodes—is the use of AI just to respond to emails from patients.Does that make sense to you? 
    BUBECK: Yeah. So maybe I want to second what Bill was saying but maybe take a step back first. You know, two years ago, like, the concept of clinical scribes, which is one of the things that we’re talking about right now, it would have sounded, in fact, it sounded two years ago, borderline dangerous. Because everybody was worried about hallucinations. What happened if you have this AI listening in and then it transcribes, you know, something wrong? 
    Now, two years later, I think it’s mostly working. And in fact, it is not yet, you know, fully adopted. You’re right. But it is in production. It is used, you know, in many, many places. So this rate of progress is astounding because it wasn’t obvious that we would be able to overcome those obstacles of hallucination. It’s not to say that hallucinations are fully solved. In the case of the closed system, they are.  
    Now, I think more generally what’s going on in the background is that there is something that we, that certainly I, underestimated, which is this management overhead. So I think the reason why this is not adopted everywhere is really a training and teaching aspect. People need to be taught, like, those systems, how to interact with them. 
    And one example that I really like, a study that recently appeared where they tried to use ChatGPT for diagnosis and they were comparing doctors without and with ChatGPT. And the amazing thing … so this was a set of cases where the accuracy of the doctors alone was around 75%. ChatGPT alone was 90%. So that’s already kind of mind blowing. But then the kicker is that doctors with ChatGPT was 80%.  
    Intelligence alone is not enough. It’s also how it’s presented, how you interact with it. And ChatGPT, it’s an amazing tool. Obviously, I absolutely love it. But it’s not … you don’t want a doctor to have to type in, you know, prompts and use it that way. 
    It should be, as Bill was saying, kind of running continuously in the background, sending you notifications. And you have to be really careful of the rate at which those notifications are being sent. Because if they are too frequent, then the doctor will learn to ignore them. So you have to … all of those things matter, in fact, at least as much as the level of intelligence of the machine. 
    LEE: One of the things I think about, Bill, in that scenario that you described, doctors do some thinking about the patient when they write the note. So, you know, I’m always a little uncertain whether it’s actually … you know, you wouldn’t necessarily want to fully automate this, I don’t think. Or at least there needs to be some prompt to the doctor to make sure that the doctor puts some thought into what happened in the encounter with the patient. Does that make sense to you at all? 
    GATES: At this stage, you know, I’d still put the onus on the doctor to write the conclusions and the summary and not delegate that. 
    The tradeoffs you make a little bit are somewhat dependent on the situation you’re in. If you’re in Africa,
    So, yes, the doctor’s still going to have to do a lot of work, but just the quality of letting the patient and the people around them interact and ask questions and have things explained, that alone is such a quality improvement. It’s mind blowing.  
    LEE: So since you mentioned, you know, Africa—and, of course, this touches on the mission and some of the priorities of the Gates Foundation and this idea of democratization of access to expert medical care—what’s the most interesting stuff going on right now? Are there people and organizations or technologies that are impressing you or that you’re tracking? 
    GATES: Yeah. So the Gates Foundation has given out a lot of grants to people in Africa doing education, agriculture but more healthcare examples than anything. And the way these things start off, they often start out either being patient-centric in a narrow situation, like, OK, I’m a pregnant woman; talk to me. Or, I have infectious disease symptoms; talk to me. Or they’re connected to a health worker where they’re helping that worker get their job done. And we have lots of pilots out, you know, in both of those cases.  
    The dream would be eventually to have the thing the patient consults be so broad that it’s like having a doctor available who understands the local things.  
    LEE: Right.  
    GATES: We’re not there yet. But over the next two or three years, you know, particularly given the worsening financial constraints against African health systems, where the withdrawal of money has been dramatic, you know, figuring out how to take this—what I sometimes call “free intelligence”—and build a quality health system around that, we will have to be more radical in low-income countries than any rich country is ever going to be.  
    LEE: Also, there’s maybe a different regulatory environment, so some of those things maybe are easier? Because right now, I think the world hasn’t figured out how to and whether to regulate, let’s say, an AI that might give a medical diagnosis or write a prescription for a medication. 
    BUBECK: Yeah. I think one issue with this, and it’s also slowing down the deployment of AI in healthcare more generally, is a lack of proper benchmark. Because, you know, you were mentioning the USMLE, for example. That’s a great test to test human beings and their knowledge of healthcare and medicine. But it’s not a great test to give to an AI. 
    It’s not asking the right questions. So finding what are the right questions to test whether an AI system is ready to give diagnosis in a constrained setting, that’s a very, very important direction, which to my surprise, is not yet accelerating at the rate that I was hoping for. 
    LEE: OK, so that gives me an excuse to get more now into the core AI tech because something I’ve discussed with both of you is this issue of what are the right tests. And you both know the very first test I give to any new spin of an LLM is I present a patient, the results—a mythical patient—the results of my physical exam, my mythical physical exam. Maybe some results of some initial labs. And then I present or propose a differential diagnosis. And if you’re not in medicine, a differential diagnosis you can just think of as a prioritized list of the possible diagnoses that fit with all that data. And in that proposed differential, I always intentionally make two mistakes. 
    I make a textbook technical error in one of the possible elements of the differential diagnosis, and I have an error of omission. And, you know, I just want to know, does the LLM understand what I’m talking about? And all the good ones out there do now. But then I want to know, can it spot the errors? And then most importantly, is it willing to tell me I’m wrong, that I’ve made a mistake?  
    That last piece seems really hard for AI today. And so let me ask you first, Seb, because at the time of this taping, of course, there was a new spin of GPT-4o last week that became overly sycophantic. In other words, it was actually prone in that test of mine not only to not tell me I’m wrong, but it actually praised me for the creativity of my differential.What’s up with that? 
    BUBECK: Yeah, I guess it’s a testament to the fact that training those models is still more of an art than a science. So it’s a difficult job. Just to be clear with the audience, we have rolled back thatversion of GPT-4o, so now we don’t have the sycophant version out there. 
    Yeah, no, it’s a really difficult question. It has to do … as you said, it’s very technical. It has to do with the post-training and how, like, where do you nudge the model? So, you know, there is this very classical by now technique called RLHF, where you push the model in the direction of a certain reward model. So the reward model is just telling the model, you know, what behavior is good, what behavior is bad. 
    But this reward model is itself an LLM, and, you know, Bill was saying at the very beginning of the conversation that we don’t really understand how those LLMs deal with concepts like, you know, where is the capital of France located? Things like that. It is the same thing for this reward model. We don’t know why it says that it prefers one output to another, and whether this is correlated with some sycophancy is, you know, something that we discovered basically just now. That if you push too hard in optimization on this reward model, you will get a sycophant model. 
    So it’s kind of … what I’m trying to say is we became too good at what we were doing, and we ended up, in fact, in a trap of the reward model. 
    LEE: I mean, you do want … it’s a difficult balance because you do want models to follow your desires and … 
    BUBECK: It’s a very difficult, very difficult balance. 
    LEE: So this brings up then the following question for me, which is the extent to which we think we’ll need to have specially trained models for things. So let me start with you, Bill. Do you have a point of view on whether we will need to, you know, quote-unquote take AI models to med school? Have them specially trained? Like, if you were going to deploy something to give medical care in underserved parts of the world, do we need to do something special to create those models? 
    GATES: We certainly need to teach them the African languages and the unique dialects so that the multimedia interactions are very high quality. We certainly need to teach them the disease prevalence and unique disease patterns like, you know, neglected tropical diseases and malaria. So we need to gather a set of facts that somebody trying to go for a US customer base, you know, wouldn’t necessarily have that in there. 
    Those two things are actually very straightforward because the additional training time is small. I’d say for the next few years, we’ll also need to do reinforcement learning about the context of being a doctor and how important certain behaviors are. Humans learn over the course of their life to some degree that, I’m in a different context and the way I behave in terms of being willing to criticize or be nice, you know, how important is it? Who’s here? What’s my relationship to them?  
    Right now, these machines don’t have that broad social experience. And so if you know it’s going to be used for health things, a lot of reinforcement learning of the very best humans in that context would still be valuable. Eventually, the models will, having read all the literature of the world about good doctors, bad doctors, it’ll understand as soon as you say, “I want you to be a doctor diagnosing somebody.” All of the implicit reinforcement that fits that situation, you know, will be there.
    LEE: Yeah.
    GATES: And so I hope three years from now, we don’t have to do that reinforcement learning. But today, for any medical context, you would want a lot of data to reinforce tone, willingness to say things when, you know, there might be something significant at stake. 
    LEE: Yeah. So, you know, something Bill said, kind of, reminds me of another thing that I think we missed, which is, the context also … and the specialization also pertains to different, I guess, what we still call “modes,” although I don’t know if the idea of multimodal is the same as it was two years ago. But, you know, what do you make of all of the hubbub around—in fact, within Microsoft Research, this is a big deal, but I think we’re far from alone—you know, medical images and vision, video, proteins and molecules, cell, you know, cellular data and so on. 
    BUBECK: Yeah. OK. So there is a lot to say to everything … to the last, you know, couple of minutes. Maybe on the specialization aspect, you know, I think there is, hiding behind this, a really fundamental scientific question of whether eventually we have a singular AGIthat kind of knows everything and you can just put, you know, explain your own context and it will just get it and understand everything. 
    That’s one vision. I have to say, I don’t particularly believe in this vision. In fact, we humans are not like that at all. I think, hopefully, we are general intelligences, yet we have to specialize a lot. And, you know, I did myself a lot of RL, reinforcement learning, on mathematics. Like, that’s what I did, you know, spent a lot of time doing that. And I didn’t improve on other aspects. You know, in fact, I probably degraded in other aspects.So it’s … I think it’s an important example to have in mind. 
    LEE: I think I might disagree with you on that, though, because, like, doesn’t a model have to see both good science and bad science in order to be able to gain the ability to discern between the two? 
    BUBECK: Yeah, no, that absolutely. I think there is value in seeing the generality, in having a very broad base. But then you, kind of, specialize on verticals. And this is where also, you know, open-weights model, which we haven’t talked about yet, are really important because they allow you to provide this broad base to everyone. And then you can specialize on top of it. 
    LEE: So we have about three hours of stuff to talk about, but our time is actually running low.
    BUBECK: Yes, yes, yes.  
    LEE: So I think I want … there’s a more provocative question. It’s almost a silly question, but I need to ask it of the two of you, which is, is there a future, you know, where AI replaces doctors or replaces, you know, medical specialties that we have today? So what does the world look like, say, five years from now? 
    GATES: Well, it’s important to distinguish healthcare discovery activity from healthcare delivery activity. We focused mostly on delivery. I think it’s very much within the realm of possibility that the AI is not only accelerating healthcare discovery but substituting for a lot of the roles of, you know, I’m an organic chemist, or I run various types of assays. I can see those, which are, you know, testable-output-type jobs but with still very high value, I can see, you know, some replacement in those areas before the doctor.  
    The doctor, still understanding the human condition and long-term dialogues, you know, they’ve had a lifetime of reinforcement of that, particularly when you get into areas like mental health. So I wouldn’t say in five years, either people will choose to adopt it, but it will be profound that there’ll be this nearly free intelligence that can do follow-up, that can help you, you know, make sure you went through different possibilities. 
    And so I’d say, yes, we’ll have doctors, but I’d say healthcare will be massively transformed in its quality and in efficiency by AI in that time period. 
    LEE: Is there a comparison, useful comparison, say, between doctors and, say, programmers, computer programmers, or doctors and, I don’t know, lawyers? 
    GATES: Programming is another one that has, kind of, a mathematical correctness to it, you know, and so the objective function that you’re trying to reinforce to, as soon as you can understand the state machines, you can have something that’s “checkable”; that’s correct. So I think programming, you know, which is weird to say, that the machine will beat us at most programming tasks before we let it take over roles that have deep empathy, you know, physical presence and social understanding in them. 
    LEE: Yeah. By the way, you know, I fully expect in five years that AI will produce mathematical proofs that are checkable for validity, easily checkable, because they’ll be written in a proof-checking language like Lean or something but will be so complex that no human mathematician can understand them. I expect that to happen.  
    I can imagine in some fields, like cellular biology, we could have the same situation in the future because the molecular pathways, the chemistry, biochemistry of human cells or living cells is as complex as any mathematics, and so it seems possible that we may be in a state where in wet lab, we see, Oh yeah, this actually works, but no one can understand why. 
    BUBECK: Yeah, absolutely. I mean, I think I really agree with Bill’s distinction of the discovery and the delivery, and indeed, the discovery’s when you can check things, and at the end, there is an artifact that you can verify. You know, you can run the protocol in the wet lab and seeproduced what you wanted. So I absolutely agree with that.  
    And in fact, you know, we don’t have to talk five years from now. I don’t know if you know, but just recently, there was a paper that was published on a scientific discovery using o3- mini. So this is really amazing. And, you know, just very quickly, just so people know, it was about this statistical physics model, the frustrated Potts model, which has to do with coloring, and basically, the case of three colors, like, more than two colors was open for a long time, and o3 was able to reduce the case of three colors to two colors.  
    LEE: Yeah. 
    BUBECK: Which is just, like, astounding. And this is not … this is now. This is happening right now. So this is something that I personally didn’t expect it would happen so quickly, and it’s due to those reasoning models.  
    Now, on the delivery side, I would add something more to it for the reason why doctors and, in fact, lawyers and coders will remain for a long time, and it’s because we still don’t understand how those models generalize. Like, at the end of the day, we are not able to tell you when they are confronted with a really new, novel situation, whether they will work or not. 
    Nobody is able to give you that guarantee. And I think until we understand this generalization better, we’re not going to be willing to just let the system in the wild without human supervision. 
    LEE: But don’t human doctors, human specialists … so, for example, a cardiologist sees a patient in a certain way that a nephrologist … 
    BUBECK: Yeah.
    LEE: … or an endocrinologist might not.
    BUBECK: That’s right. But another cardiologist will understand and, kind of, expect a certain level of generalization from their peer. And this, we just don’t have it with AI models. Now, of course, you’re exactly right. That generalization is also hard for humans. Like, if you have a human trained for one task and you put them into another task, then you don’t … you often don’t know.
    LEE: OK. You know, the podcast is focused on what’s happened over the last two years. But now, I’d like one provocative prediction about what you think the world of AI and medicine is going to be at some point in the future. You pick your timeframe. I don’t care if it’s two years or 20 years from now, but, you know, what do you think will be different about AI in medicine in that future than today? 
    BUBECK: Yeah, I think the deployment is going to accelerate soon. Like, we’re really not missing very much. There is this enormous capability overhang. Like, even if progress completely stopped, with current systems, we can do a lot more than what we’re doing right now. So I think this will … this has to be realized, you know, sooner rather than later. 
    And I think it’s probably dependent on these benchmarks and proper evaluation and tying this with regulation. So these are things that take time in human society and for good reason. But now we already are at two years; you know, give it another two years and it should be really …  
    LEE: Will AI prescribe your medicines? Write your prescriptions? 
    BUBECK: I think yes. I think yes. 
    LEE: OK. Bill? 
    GATES: Well, I think the next two years, we’ll have massive pilots, and so the amount of use of the AI, still in a copilot-type mode, you know, we should get millions of patient visits, you know, both in general medicine and in the mental health side, as well. And I think that’s going to build up both the data and the confidence to give the AI some additional autonomy. You know, are you going to let it talk to you at night when you’re panicked about your mental health with some ability to escalate?
    And, you know, I’ve gone so far as to tell politicians with national health systems that if they deploy AI appropriately, that the quality of care, the overload of the doctors, the improvement in the economics will be enough that their voters will be stunned because they just don’t expect this, and, you know, they could be reelectedjust on this one thing of fixing what is a very overloaded and economically challenged health system in these rich countries. 
    You know, my personal role is going to be to make sure that in the poorer countries, there isn’t some lag; in fact, in many cases, that we’ll be more aggressive because, you know, we’re comparing to having no access to doctors at all. And, you know, so I think whether it’s India or Africa, there’ll be lessons that are globally valuable because we need medical intelligence. And, you know, thank god AI is going to provide a lot of that. 
    LEE: Well, on that optimistic note, I think that’s a good way to end. Bill, Seb, really appreciate all of this.  
    I think the most fundamental prediction we made in the book is that AI would actually find its way into the practice of medicine, and I think that that at least has come true, maybe in different ways than we expected, but it’s come true, and I think it’ll only accelerate from here. So thanks again, both of you.  
    GATES: Yeah. Thanks, you guys. 
    BUBECK: Thank you, Peter. Thanks, Bill. 
    LEE: I just always feel such a sense of privilege to have a chance to interact and actually work with people like Bill and Sébastien.   
    With Bill, I’m always amazed at how practically minded he is. He’s really thinking about the nuts and bolts of what AI might be able to do for people, and his thoughts about underserved parts of the world, the idea that we might actually be able to empower people with access to expert medical knowledge, I think is both inspiring and amazing.  
    And then, Seb, Sébastien Bubeck, he’s just absolutely a brilliant mind. He has a really firm grip on the deep mathematics of artificial intelligence and brings that to bear in his research and development work. And where that mathematics takes him isn’t just into the nuts and bolts of algorithms but into philosophical questions about the nature of intelligence.  
    One of the things that Sébastien brought up was the state of evaluation of AI systems. And indeed, he was fairly critical in our conversation. But of course, the world of AI research and development is just moving so fast, and indeed, since we recorded our conversation, OpenAI, in fact, released a new evaluation metric that is directly relevant to medical applications, and that is something called HealthBench. And Microsoft Research also released a new evaluation approach or process called ADeLe.  
    HealthBench and ADeLe are examples of new approaches to evaluating AI models that are less about testing their knowledge and ability to pass multiple-choice exams and instead are evaluation approaches designed to assess how well AI models are able to complete tasks that actually arise every day in typical healthcare or biomedical research settings. These are examples of really important good work that speak to how well AI models work in the real world of healthcare and biomedical research and how well they can collaborate with human beings in those settings. 
    You know, I asked Bill and Seb to make some predictions about the future. You know, my own answer, I expect that we’re going to be able to use AI to change how we diagnose patients, change how we decide treatment options.  
    If you’re a doctor or a nurse and you encounter a patient, you’ll ask questions, do a physical exam, you know, call out for labs just like you do today, but then you’ll be able to engage with AI based on all of that data and just ask, you know, based on all the other people who have gone through the same experience, who have similar data, how were they diagnosed? How were they treated? What were their outcomes? And what does that mean for the patient I have right now? Some people call it the “patients like me” paradigm. And I think that’s going to become real because of AI within our lifetimes. That idea of really grounding the delivery in healthcare and medical practice through data and intelligence, I actually now don’t see any barriers to that future becoming real.  
    I’d like to extend another big thank you to Bill and Sébastien for their time. And to our listeners, as always, it’s a pleasure to have you along for the ride. I hope you’ll join us for our remaining conversations, as well as a second coauthor roundtable with Carey and Zak.  
    Until next time.  
    #how #reshaping #future #healthcare #medical
    How AI is reshaping the future of healthcare and medical research
    Transcript        PETER LEE: “In ‘The Little Black Bag,’ a classic science fiction story, a high-tech doctor’s kit of the future is accidentally transported back to the 1950s, into the shaky hands of a washed-up, alcoholic doctor. The ultimate medical tool, it redeems the doctor wielding it, allowing him to practice gratifyingly heroic medicine. … The tale ends badly for the doctor and his treacherous assistant, but it offered a picture of how advanced technology could transform medicine—powerful when it was written nearly 75 years ago and still so today. What would be the Al equivalent of that little black bag? At this moment when new capabilities are emerging, how do we imagine them into medicine?”           This is The AI Revolution in Medicine, Revisited. I’m your host, Peter Lee.    Shortly after OpenAI’s GPT-4 was publicly released, Carey Goldberg, Dr. Zak Kohane, and I published The AI Revolution in Medicine to help educate the world of healthcare and medical research about the transformative impact this new generative AI technology could have. But because we wrote the book when GPT-4 was still a secret, we had to speculate. Now, two years later, what did we get right, and what did we get wrong?     In this series, we’ll talk to clinicians, patients, hospital administrators, and others to understand the reality of AI in the field and where we go from here.  The book passage I read at the top is from “Chapter 10: The Big Black Bag.”  In imagining AI in medicine, Carey, Zak, and I included in our book two fictional accounts. In the first, a medical resident consults GPT-4 on her personal phone as the patient in front of her crashes. Within seconds, it offers an alternate response based on recent literature. In the second account, a 90-year-old woman with several chronic conditions is living independently and receiving near-constant medical support from an AI aide.    In our conversations with the guests we’ve spoken to so far, we’ve caught a glimpse of these predicted futures, seeing how clinicians and patients are actually using AI today and how developers are leveraging the technology in the healthcare products and services they’re creating. In fact, that first fictional account isn’t so fictional after all, as most of the doctors in the real world actually appear to be using AI at least occasionally—and sometimes much more than occasionally—to help in their daily clinical work. And as for the second fictional account, which is more of a science fiction account, it seems we are indeed on the verge of a new way of delivering and receiving healthcare, though the future is still very much open.  As we continue to examine the current state of AI in healthcare and its potential to transform the field, I’m pleased to welcome Bill Gates and Sébastien Bubeck.   Bill may be best known as the co-founder of Microsoft, having created the company with his childhood friend Paul Allen in 1975. He’s now the founder of Breakthrough Energy, which aims to advance clean energy innovation, and TerraPower, a company developing groundbreaking nuclear energy and science technologies. He also chairs the world’s largest philanthropic organization, the Gates Foundation, and focuses on solving a variety of health challenges around the globe and here at home.  Sébastien is a research lead at OpenAI. He was previously a distinguished scientist, vice president of AI, and a colleague of mine here at Microsoft, where his work included spearheading the development of the family of small language models known as Phi. While at Microsoft, he also coauthored the discussion-provoking 2023 paper “Sparks of Artificial General Intelligence,” which presented the results of early experiments with GPT-4 conducted by a small team from Microsoft Research.      Here’s my conversation with Bill Gates and Sébastien Bubeck.  LEE: Bill, welcome.  BILL GATES: Thank you.  LEE: Seb …  SÉBASTIEN BUBECK: Yeah. Hi, hi, Peter. Nice to be here.  LEE: You know, one of the things that I’ve been doing just to get the conversation warmed up is to talk about origin stories, and what I mean about origin stories is, you know, what was the first contact that you had with large language models or the concept of generative AI that convinced you or made you think that something really important was happening?  And so, Bill, I think I’ve heard the story about, you know, the time when the OpenAI folks—Sam Altman, Greg Brockman, and others—showed you something, but could we hear from you what those early encounters were like and what was going through your mind?   GATES: Well, I’d been visiting OpenAI soon after it was created to see things like GPT-2 and to see the little arm they had that was trying to match human manipulation and, you know, looking at their games like Dota that they were trying to get as good as human play. And honestly, I didn’t think the language model stuff they were doing, even when they got to GPT-3, would show the ability to learn, you know, in the same sense that a human reads a biology book and is able to take that knowledge and access it not only to pass a test but also to create new medicines.  And so my challenge to them was that if their LLM could get a five on the advanced placement biology test, then I would say, OK, it took biologic knowledge and encoded it in an accessible way and that I didn’t expect them to do that very quickly but it would be profound.   And it was only about six months after I challenged them to do that, that an early version of GPT-4 they brought up to a dinner at my house, and in fact, it answered most of the questions that night very well. The one it got totally wrong, we were … because it was so good, we kept thinking, Oh, we must be wrong. It turned out it was a math weaknessthat, you know, we later understood that that was an area of, weirdly, of incredible weakness of those early models. But, you know, that was when I realized, OK, the age of cheap intelligence was at its beginning.  LEE: Yeah. So I guess it seems like you had something similar to me in that my first encounters, I actually harbored some skepticism. Is it fair to say you were skeptical before that?  GATES: Well, the idea that we’ve figured out how to encode and access knowledge in this very deep sense without even understanding the nature of the encoding, …  LEE: Right.   GATES: … that is a bit weird.   LEE: Yeah.  GATES: We have an algorithm that creates the computation, but even say, OK, where is the president’s birthday stored in there? Where is this fact stored in there? The fact that even now when we’re playing around, getting a little bit more sense of it, it’s opaque to us what the semantic encoding is, it’s, kind of, amazing to me. I thought the invention of knowledge storage would be an explicit way of encoding knowledge, not an implicit statistical training.  LEE: Yeah, yeah. All right. So, Seb, you know, on this same topic, you know, I got—as we say at Microsoft—I got pulled into the tent.  BUBECK: Yes.   LEE: Because this was a very secret project. And then, um, I had the opportunity to select a small number of researchers in MSRto join and start investigating this thing seriously. And the first person I pulled in was you.  BUBECK: Yeah.  LEE: And so what were your first encounters? Because I actually don’t remember what happened then.  BUBECK: Oh, I remember it very well.My first encounter with GPT-4 was in a meeting with the two of you, actually. But my kind of first contact, the first moment where I realized that something was happening with generative AI, was before that. And I agree with Bill that I also wasn’t too impressed by GPT-3.  I though that it was kind of, you know, very naturally mimicking the web, sort of parroting what was written there in a nice way. Still in a way which seemed very impressive. But it wasn’t really intelligent in any way. But shortly after GPT-3, there was a model before GPT-4 that really shocked me, and this was the first image generation model, DALL-E 1.  So that was in 2021. And I will forever remember the press release of OpenAI where they had this prompt of an avocado chair and then you had this image of the avocado chair.And what really shocked me is that clearly the model kind of “understood” what is a chair, what is an avocado, and was able to merge those concepts.  So this was really, to me, the first moment where I saw some understanding in those models.   LEE: So this was, just to get the timing right, that was before I pulled you into the tent.  BUBECK: That was before. That was like a year before.  LEE: Right.   BUBECK: And now I will tell you how, you know, we went from that moment to the meeting with the two of you and GPT-4.  So once I saw this kind of understanding, I thought, OK, fine. It understands concept, but it’s still not able to reason. It cannot—as, you know, Bill was saying—it cannot learn from your document. It cannot reason.   So I set out to try to prove that. You know, this is what I was in the business of at the time, trying to prove things in mathematics. So I was trying to prove that basically autoregressive transformers could never reason. So I was trying to prove this. And after a year of work, I had something reasonable to show. And so I had the meeting with the two of you, and I had this example where I wanted to say, there is no way that an LLM is going to be able to do x.  And then as soon as I … I don’t know if you remember, Bill. But as soon as I said that, you said, oh, but wait a second. I had, you know, the OpenAI crew at my house recently, and they showed me a new model. Why don’t we ask this new model this question?   LEE: Yeah. BUBECK: And we did, and it solved it on the spot. And that really, honestly, just changed my life. Like, you know, I had been working for a year trying to say that this was impossible. And just right there, it was shown to be possible.   LEE:One of the very first things I got interested in—because I was really thinking a lot about healthcare—was healthcare and medicine.  And I don’t know if the two of you remember, but I ended up doing a lot of tests. I ran through, you know, step one and step two of the US Medical Licensing Exam. Did a whole bunch of other things. I wrote this big report. It was, you know, I can’t remember … a couple hundred pages.   And I needed to share this with someone. I didn’t … there weren’t too many people I could share it with. So I sent, I think, a copy to you, Bill. Sent a copy to you, Seb.   I hardly slept for about a week putting that report together. And, yeah, and I kept working on it. But I was far from alone. I think everyone who was in the tent, so to speak, in those early days was going through something pretty similar. All right. So I think … of course, a lot of what I put in the report also ended up being examples that made it into the book.  But the main purpose of this conversation isn’t to reminisce aboutor indulge in those reminiscences but to talk about what’s happening in healthcare and medicine. And, you know, as I said, we wrote this book. We did it very, very quickly. Seb, you helped. Bill, you know, you provided a review and some endorsements.  But, you know, honestly, we didn’t know what we were talking about because no one had access to this thing. And so we just made a bunch of guesses. So really, the whole thing I wanted to probe with the two of you is, now with two years of experience out in the world, what, you know, what do we think is happening today?  You know, is AI actually having an impact, positive or negative, on healthcare and medicine? And what do we now think is going to happen in the next two years, five years, or 10 years? And so I realize it’s a little bit too abstract to just ask it that way. So let me just try to narrow the discussion and guide us a little bit.   Um, the kind of administrative and clerical work, paperwork, around healthcare—and we made a lot of guesses about that—that appears to be going well, but, you know, Bill, I know we’ve discussed that sometimes that you think there ought to be a lot more going on. Do you have a viewpoint on how AI is actually finding its way into reducing paperwork?  GATES: Well, I’m stunned … I don’t think there should be a patient-doctor meeting where the AI is not sitting in and both transcribing, offering to help with the paperwork, and even making suggestions, although the doctor will be the one, you know, who makes the final decision about the diagnosis and whatever prescription gets done.   It’s so helpful. You know, when that patient goes home and their, you know, son who wants to understand what happened has some questions, that AI should be available to continue that conversation. And the way you can improve that experience and streamline things and, you know, involve the people who advise you. I don’t understand why that’s not more adopted, because there you still have the human in the loop making that final decision.  But even for, like, follow-up calls to make sure the patient did things, to understand if they have concerns and knowing when to escalate back to the doctor, the benefit is incredible. And, you know, that thing is ready for prime time. That paradigm is ready for prime time, in my view.  LEE: Yeah, there are some good products, but it seems like the number one use right now—and we kind of got this from some of the previous guests in previous episodes—is the use of AI just to respond to emails from patients.Does that make sense to you?  BUBECK: Yeah. So maybe I want to second what Bill was saying but maybe take a step back first. You know, two years ago, like, the concept of clinical scribes, which is one of the things that we’re talking about right now, it would have sounded, in fact, it sounded two years ago, borderline dangerous. Because everybody was worried about hallucinations. What happened if you have this AI listening in and then it transcribes, you know, something wrong?  Now, two years later, I think it’s mostly working. And in fact, it is not yet, you know, fully adopted. You’re right. But it is in production. It is used, you know, in many, many places. So this rate of progress is astounding because it wasn’t obvious that we would be able to overcome those obstacles of hallucination. It’s not to say that hallucinations are fully solved. In the case of the closed system, they are.   Now, I think more generally what’s going on in the background is that there is something that we, that certainly I, underestimated, which is this management overhead. So I think the reason why this is not adopted everywhere is really a training and teaching aspect. People need to be taught, like, those systems, how to interact with them.  And one example that I really like, a study that recently appeared where they tried to use ChatGPT for diagnosis and they were comparing doctors without and with ChatGPT. And the amazing thing … so this was a set of cases where the accuracy of the doctors alone was around 75%. ChatGPT alone was 90%. So that’s already kind of mind blowing. But then the kicker is that doctors with ChatGPT was 80%.   Intelligence alone is not enough. It’s also how it’s presented, how you interact with it. And ChatGPT, it’s an amazing tool. Obviously, I absolutely love it. But it’s not … you don’t want a doctor to have to type in, you know, prompts and use it that way.  It should be, as Bill was saying, kind of running continuously in the background, sending you notifications. And you have to be really careful of the rate at which those notifications are being sent. Because if they are too frequent, then the doctor will learn to ignore them. So you have to … all of those things matter, in fact, at least as much as the level of intelligence of the machine.  LEE: One of the things I think about, Bill, in that scenario that you described, doctors do some thinking about the patient when they write the note. So, you know, I’m always a little uncertain whether it’s actually … you know, you wouldn’t necessarily want to fully automate this, I don’t think. Or at least there needs to be some prompt to the doctor to make sure that the doctor puts some thought into what happened in the encounter with the patient. Does that make sense to you at all?  GATES: At this stage, you know, I’d still put the onus on the doctor to write the conclusions and the summary and not delegate that.  The tradeoffs you make a little bit are somewhat dependent on the situation you’re in. If you’re in Africa, So, yes, the doctor’s still going to have to do a lot of work, but just the quality of letting the patient and the people around them interact and ask questions and have things explained, that alone is such a quality improvement. It’s mind blowing.   LEE: So since you mentioned, you know, Africa—and, of course, this touches on the mission and some of the priorities of the Gates Foundation and this idea of democratization of access to expert medical care—what’s the most interesting stuff going on right now? Are there people and organizations or technologies that are impressing you or that you’re tracking?  GATES: Yeah. So the Gates Foundation has given out a lot of grants to people in Africa doing education, agriculture but more healthcare examples than anything. And the way these things start off, they often start out either being patient-centric in a narrow situation, like, OK, I’m a pregnant woman; talk to me. Or, I have infectious disease symptoms; talk to me. Or they’re connected to a health worker where they’re helping that worker get their job done. And we have lots of pilots out, you know, in both of those cases.   The dream would be eventually to have the thing the patient consults be so broad that it’s like having a doctor available who understands the local things.   LEE: Right.   GATES: We’re not there yet. But over the next two or three years, you know, particularly given the worsening financial constraints against African health systems, where the withdrawal of money has been dramatic, you know, figuring out how to take this—what I sometimes call “free intelligence”—and build a quality health system around that, we will have to be more radical in low-income countries than any rich country is ever going to be.   LEE: Also, there’s maybe a different regulatory environment, so some of those things maybe are easier? Because right now, I think the world hasn’t figured out how to and whether to regulate, let’s say, an AI that might give a medical diagnosis or write a prescription for a medication.  BUBECK: Yeah. I think one issue with this, and it’s also slowing down the deployment of AI in healthcare more generally, is a lack of proper benchmark. Because, you know, you were mentioning the USMLE, for example. That’s a great test to test human beings and their knowledge of healthcare and medicine. But it’s not a great test to give to an AI.  It’s not asking the right questions. So finding what are the right questions to test whether an AI system is ready to give diagnosis in a constrained setting, that’s a very, very important direction, which to my surprise, is not yet accelerating at the rate that I was hoping for.  LEE: OK, so that gives me an excuse to get more now into the core AI tech because something I’ve discussed with both of you is this issue of what are the right tests. And you both know the very first test I give to any new spin of an LLM is I present a patient, the results—a mythical patient—the results of my physical exam, my mythical physical exam. Maybe some results of some initial labs. And then I present or propose a differential diagnosis. And if you’re not in medicine, a differential diagnosis you can just think of as a prioritized list of the possible diagnoses that fit with all that data. And in that proposed differential, I always intentionally make two mistakes.  I make a textbook technical error in one of the possible elements of the differential diagnosis, and I have an error of omission. And, you know, I just want to know, does the LLM understand what I’m talking about? And all the good ones out there do now. But then I want to know, can it spot the errors? And then most importantly, is it willing to tell me I’m wrong, that I’ve made a mistake?   That last piece seems really hard for AI today. And so let me ask you first, Seb, because at the time of this taping, of course, there was a new spin of GPT-4o last week that became overly sycophantic. In other words, it was actually prone in that test of mine not only to not tell me I’m wrong, but it actually praised me for the creativity of my differential.What’s up with that?  BUBECK: Yeah, I guess it’s a testament to the fact that training those models is still more of an art than a science. So it’s a difficult job. Just to be clear with the audience, we have rolled back thatversion of GPT-4o, so now we don’t have the sycophant version out there.  Yeah, no, it’s a really difficult question. It has to do … as you said, it’s very technical. It has to do with the post-training and how, like, where do you nudge the model? So, you know, there is this very classical by now technique called RLHF, where you push the model in the direction of a certain reward model. So the reward model is just telling the model, you know, what behavior is good, what behavior is bad.  But this reward model is itself an LLM, and, you know, Bill was saying at the very beginning of the conversation that we don’t really understand how those LLMs deal with concepts like, you know, where is the capital of France located? Things like that. It is the same thing for this reward model. We don’t know why it says that it prefers one output to another, and whether this is correlated with some sycophancy is, you know, something that we discovered basically just now. That if you push too hard in optimization on this reward model, you will get a sycophant model.  So it’s kind of … what I’m trying to say is we became too good at what we were doing, and we ended up, in fact, in a trap of the reward model.  LEE: I mean, you do want … it’s a difficult balance because you do want models to follow your desires and …  BUBECK: It’s a very difficult, very difficult balance.  LEE: So this brings up then the following question for me, which is the extent to which we think we’ll need to have specially trained models for things. So let me start with you, Bill. Do you have a point of view on whether we will need to, you know, quote-unquote take AI models to med school? Have them specially trained? Like, if you were going to deploy something to give medical care in underserved parts of the world, do we need to do something special to create those models?  GATES: We certainly need to teach them the African languages and the unique dialects so that the multimedia interactions are very high quality. We certainly need to teach them the disease prevalence and unique disease patterns like, you know, neglected tropical diseases and malaria. So we need to gather a set of facts that somebody trying to go for a US customer base, you know, wouldn’t necessarily have that in there.  Those two things are actually very straightforward because the additional training time is small. I’d say for the next few years, we’ll also need to do reinforcement learning about the context of being a doctor and how important certain behaviors are. Humans learn over the course of their life to some degree that, I’m in a different context and the way I behave in terms of being willing to criticize or be nice, you know, how important is it? Who’s here? What’s my relationship to them?   Right now, these machines don’t have that broad social experience. And so if you know it’s going to be used for health things, a lot of reinforcement learning of the very best humans in that context would still be valuable. Eventually, the models will, having read all the literature of the world about good doctors, bad doctors, it’ll understand as soon as you say, “I want you to be a doctor diagnosing somebody.” All of the implicit reinforcement that fits that situation, you know, will be there. LEE: Yeah. GATES: And so I hope three years from now, we don’t have to do that reinforcement learning. But today, for any medical context, you would want a lot of data to reinforce tone, willingness to say things when, you know, there might be something significant at stake.  LEE: Yeah. So, you know, something Bill said, kind of, reminds me of another thing that I think we missed, which is, the context also … and the specialization also pertains to different, I guess, what we still call “modes,” although I don’t know if the idea of multimodal is the same as it was two years ago. But, you know, what do you make of all of the hubbub around—in fact, within Microsoft Research, this is a big deal, but I think we’re far from alone—you know, medical images and vision, video, proteins and molecules, cell, you know, cellular data and so on.  BUBECK: Yeah. OK. So there is a lot to say to everything … to the last, you know, couple of minutes. Maybe on the specialization aspect, you know, I think there is, hiding behind this, a really fundamental scientific question of whether eventually we have a singular AGIthat kind of knows everything and you can just put, you know, explain your own context and it will just get it and understand everything.  That’s one vision. I have to say, I don’t particularly believe in this vision. In fact, we humans are not like that at all. I think, hopefully, we are general intelligences, yet we have to specialize a lot. And, you know, I did myself a lot of RL, reinforcement learning, on mathematics. Like, that’s what I did, you know, spent a lot of time doing that. And I didn’t improve on other aspects. You know, in fact, I probably degraded in other aspects.So it’s … I think it’s an important example to have in mind.  LEE: I think I might disagree with you on that, though, because, like, doesn’t a model have to see both good science and bad science in order to be able to gain the ability to discern between the two?  BUBECK: Yeah, no, that absolutely. I think there is value in seeing the generality, in having a very broad base. But then you, kind of, specialize on verticals. And this is where also, you know, open-weights model, which we haven’t talked about yet, are really important because they allow you to provide this broad base to everyone. And then you can specialize on top of it.  LEE: So we have about three hours of stuff to talk about, but our time is actually running low. BUBECK: Yes, yes, yes.   LEE: So I think I want … there’s a more provocative question. It’s almost a silly question, but I need to ask it of the two of you, which is, is there a future, you know, where AI replaces doctors or replaces, you know, medical specialties that we have today? So what does the world look like, say, five years from now?  GATES: Well, it’s important to distinguish healthcare discovery activity from healthcare delivery activity. We focused mostly on delivery. I think it’s very much within the realm of possibility that the AI is not only accelerating healthcare discovery but substituting for a lot of the roles of, you know, I’m an organic chemist, or I run various types of assays. I can see those, which are, you know, testable-output-type jobs but with still very high value, I can see, you know, some replacement in those areas before the doctor.   The doctor, still understanding the human condition and long-term dialogues, you know, they’ve had a lifetime of reinforcement of that, particularly when you get into areas like mental health. So I wouldn’t say in five years, either people will choose to adopt it, but it will be profound that there’ll be this nearly free intelligence that can do follow-up, that can help you, you know, make sure you went through different possibilities.  And so I’d say, yes, we’ll have doctors, but I’d say healthcare will be massively transformed in its quality and in efficiency by AI in that time period.  LEE: Is there a comparison, useful comparison, say, between doctors and, say, programmers, computer programmers, or doctors and, I don’t know, lawyers?  GATES: Programming is another one that has, kind of, a mathematical correctness to it, you know, and so the objective function that you’re trying to reinforce to, as soon as you can understand the state machines, you can have something that’s “checkable”; that’s correct. So I think programming, you know, which is weird to say, that the machine will beat us at most programming tasks before we let it take over roles that have deep empathy, you know, physical presence and social understanding in them.  LEE: Yeah. By the way, you know, I fully expect in five years that AI will produce mathematical proofs that are checkable for validity, easily checkable, because they’ll be written in a proof-checking language like Lean or something but will be so complex that no human mathematician can understand them. I expect that to happen.   I can imagine in some fields, like cellular biology, we could have the same situation in the future because the molecular pathways, the chemistry, biochemistry of human cells or living cells is as complex as any mathematics, and so it seems possible that we may be in a state where in wet lab, we see, Oh yeah, this actually works, but no one can understand why.  BUBECK: Yeah, absolutely. I mean, I think I really agree with Bill’s distinction of the discovery and the delivery, and indeed, the discovery’s when you can check things, and at the end, there is an artifact that you can verify. You know, you can run the protocol in the wet lab and seeproduced what you wanted. So I absolutely agree with that.   And in fact, you know, we don’t have to talk five years from now. I don’t know if you know, but just recently, there was a paper that was published on a scientific discovery using o3- mini. So this is really amazing. And, you know, just very quickly, just so people know, it was about this statistical physics model, the frustrated Potts model, which has to do with coloring, and basically, the case of three colors, like, more than two colors was open for a long time, and o3 was able to reduce the case of three colors to two colors.   LEE: Yeah.  BUBECK: Which is just, like, astounding. And this is not … this is now. This is happening right now. So this is something that I personally didn’t expect it would happen so quickly, and it’s due to those reasoning models.   Now, on the delivery side, I would add something more to it for the reason why doctors and, in fact, lawyers and coders will remain for a long time, and it’s because we still don’t understand how those models generalize. Like, at the end of the day, we are not able to tell you when they are confronted with a really new, novel situation, whether they will work or not.  Nobody is able to give you that guarantee. And I think until we understand this generalization better, we’re not going to be willing to just let the system in the wild without human supervision.  LEE: But don’t human doctors, human specialists … so, for example, a cardiologist sees a patient in a certain way that a nephrologist …  BUBECK: Yeah. LEE: … or an endocrinologist might not. BUBECK: That’s right. But another cardiologist will understand and, kind of, expect a certain level of generalization from their peer. And this, we just don’t have it with AI models. Now, of course, you’re exactly right. That generalization is also hard for humans. Like, if you have a human trained for one task and you put them into another task, then you don’t … you often don’t know. LEE: OK. You know, the podcast is focused on what’s happened over the last two years. But now, I’d like one provocative prediction about what you think the world of AI and medicine is going to be at some point in the future. You pick your timeframe. I don’t care if it’s two years or 20 years from now, but, you know, what do you think will be different about AI in medicine in that future than today?  BUBECK: Yeah, I think the deployment is going to accelerate soon. Like, we’re really not missing very much. There is this enormous capability overhang. Like, even if progress completely stopped, with current systems, we can do a lot more than what we’re doing right now. So I think this will … this has to be realized, you know, sooner rather than later.  And I think it’s probably dependent on these benchmarks and proper evaluation and tying this with regulation. So these are things that take time in human society and for good reason. But now we already are at two years; you know, give it another two years and it should be really …   LEE: Will AI prescribe your medicines? Write your prescriptions?  BUBECK: I think yes. I think yes.  LEE: OK. Bill?  GATES: Well, I think the next two years, we’ll have massive pilots, and so the amount of use of the AI, still in a copilot-type mode, you know, we should get millions of patient visits, you know, both in general medicine and in the mental health side, as well. And I think that’s going to build up both the data and the confidence to give the AI some additional autonomy. You know, are you going to let it talk to you at night when you’re panicked about your mental health with some ability to escalate? And, you know, I’ve gone so far as to tell politicians with national health systems that if they deploy AI appropriately, that the quality of care, the overload of the doctors, the improvement in the economics will be enough that their voters will be stunned because they just don’t expect this, and, you know, they could be reelectedjust on this one thing of fixing what is a very overloaded and economically challenged health system in these rich countries.  You know, my personal role is going to be to make sure that in the poorer countries, there isn’t some lag; in fact, in many cases, that we’ll be more aggressive because, you know, we’re comparing to having no access to doctors at all. And, you know, so I think whether it’s India or Africa, there’ll be lessons that are globally valuable because we need medical intelligence. And, you know, thank god AI is going to provide a lot of that.  LEE: Well, on that optimistic note, I think that’s a good way to end. Bill, Seb, really appreciate all of this.   I think the most fundamental prediction we made in the book is that AI would actually find its way into the practice of medicine, and I think that that at least has come true, maybe in different ways than we expected, but it’s come true, and I think it’ll only accelerate from here. So thanks again, both of you.   GATES: Yeah. Thanks, you guys.  BUBECK: Thank you, Peter. Thanks, Bill.  LEE: I just always feel such a sense of privilege to have a chance to interact and actually work with people like Bill and Sébastien.    With Bill, I’m always amazed at how practically minded he is. He’s really thinking about the nuts and bolts of what AI might be able to do for people, and his thoughts about underserved parts of the world, the idea that we might actually be able to empower people with access to expert medical knowledge, I think is both inspiring and amazing.   And then, Seb, Sébastien Bubeck, he’s just absolutely a brilliant mind. He has a really firm grip on the deep mathematics of artificial intelligence and brings that to bear in his research and development work. And where that mathematics takes him isn’t just into the nuts and bolts of algorithms but into philosophical questions about the nature of intelligence.   One of the things that Sébastien brought up was the state of evaluation of AI systems. And indeed, he was fairly critical in our conversation. But of course, the world of AI research and development is just moving so fast, and indeed, since we recorded our conversation, OpenAI, in fact, released a new evaluation metric that is directly relevant to medical applications, and that is something called HealthBench. And Microsoft Research also released a new evaluation approach or process called ADeLe.   HealthBench and ADeLe are examples of new approaches to evaluating AI models that are less about testing their knowledge and ability to pass multiple-choice exams and instead are evaluation approaches designed to assess how well AI models are able to complete tasks that actually arise every day in typical healthcare or biomedical research settings. These are examples of really important good work that speak to how well AI models work in the real world of healthcare and biomedical research and how well they can collaborate with human beings in those settings.  You know, I asked Bill and Seb to make some predictions about the future. You know, my own answer, I expect that we’re going to be able to use AI to change how we diagnose patients, change how we decide treatment options.   If you’re a doctor or a nurse and you encounter a patient, you’ll ask questions, do a physical exam, you know, call out for labs just like you do today, but then you’ll be able to engage with AI based on all of that data and just ask, you know, based on all the other people who have gone through the same experience, who have similar data, how were they diagnosed? How were they treated? What were their outcomes? And what does that mean for the patient I have right now? Some people call it the “patients like me” paradigm. And I think that’s going to become real because of AI within our lifetimes. That idea of really grounding the delivery in healthcare and medical practice through data and intelligence, I actually now don’t see any barriers to that future becoming real.   I’d like to extend another big thank you to Bill and Sébastien for their time. And to our listeners, as always, it’s a pleasure to have you along for the ride. I hope you’ll join us for our remaining conversations, as well as a second coauthor roundtable with Carey and Zak.   Until next time.   #how #reshaping #future #healthcare #medical
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    How AI is reshaping the future of healthcare and medical research
    Transcript [MUSIC]      [BOOK PASSAGE]   PETER LEE: “In ‘The Little Black Bag,’ a classic science fiction story, a high-tech doctor’s kit of the future is accidentally transported back to the 1950s, into the shaky hands of a washed-up, alcoholic doctor. The ultimate medical tool, it redeems the doctor wielding it, allowing him to practice gratifyingly heroic medicine. … The tale ends badly for the doctor and his treacherous assistant, but it offered a picture of how advanced technology could transform medicine—powerful when it was written nearly 75 years ago and still so today. What would be the Al equivalent of that little black bag? At this moment when new capabilities are emerging, how do we imagine them into medicine?”   [END OF BOOK PASSAGE]     [THEME MUSIC]     This is The AI Revolution in Medicine, Revisited. I’m your host, Peter Lee.    Shortly after OpenAI’s GPT-4 was publicly released, Carey Goldberg, Dr. Zak Kohane, and I published The AI Revolution in Medicine to help educate the world of healthcare and medical research about the transformative impact this new generative AI technology could have. But because we wrote the book when GPT-4 was still a secret, we had to speculate. Now, two years later, what did we get right, and what did we get wrong?     In this series, we’ll talk to clinicians, patients, hospital administrators, and others to understand the reality of AI in the field and where we go from here.   [THEME MUSIC FADES] The book passage I read at the top is from “Chapter 10: The Big Black Bag.”  In imagining AI in medicine, Carey, Zak, and I included in our book two fictional accounts. In the first, a medical resident consults GPT-4 on her personal phone as the patient in front of her crashes. Within seconds, it offers an alternate response based on recent literature. In the second account, a 90-year-old woman with several chronic conditions is living independently and receiving near-constant medical support from an AI aide.    In our conversations with the guests we’ve spoken to so far, we’ve caught a glimpse of these predicted futures, seeing how clinicians and patients are actually using AI today and how developers are leveraging the technology in the healthcare products and services they’re creating. In fact, that first fictional account isn’t so fictional after all, as most of the doctors in the real world actually appear to be using AI at least occasionally—and sometimes much more than occasionally—to help in their daily clinical work. And as for the second fictional account, which is more of a science fiction account, it seems we are indeed on the verge of a new way of delivering and receiving healthcare, though the future is still very much open.  As we continue to examine the current state of AI in healthcare and its potential to transform the field, I’m pleased to welcome Bill Gates and Sébastien Bubeck.   Bill may be best known as the co-founder of Microsoft, having created the company with his childhood friend Paul Allen in 1975. He’s now the founder of Breakthrough Energy, which aims to advance clean energy innovation, and TerraPower, a company developing groundbreaking nuclear energy and science technologies. He also chairs the world’s largest philanthropic organization, the Gates Foundation, and focuses on solving a variety of health challenges around the globe and here at home.  Sébastien is a research lead at OpenAI. He was previously a distinguished scientist, vice president of AI, and a colleague of mine here at Microsoft, where his work included spearheading the development of the family of small language models known as Phi. While at Microsoft, he also coauthored the discussion-provoking 2023 paper “Sparks of Artificial General Intelligence,” which presented the results of early experiments with GPT-4 conducted by a small team from Microsoft Research.    [TRANSITION MUSIC]   Here’s my conversation with Bill Gates and Sébastien Bubeck.  LEE: Bill, welcome.  BILL GATES: Thank you.  LEE: Seb …  SÉBASTIEN BUBECK: Yeah. Hi, hi, Peter. Nice to be here.  LEE: You know, one of the things that I’ve been doing just to get the conversation warmed up is to talk about origin stories, and what I mean about origin stories is, you know, what was the first contact that you had with large language models or the concept of generative AI that convinced you or made you think that something really important was happening?  And so, Bill, I think I’ve heard the story about, you know, the time when the OpenAI folks—Sam Altman, Greg Brockman, and others—showed you something, but could we hear from you what those early encounters were like and what was going through your mind?   GATES: Well, I’d been visiting OpenAI soon after it was created to see things like GPT-2 and to see the little arm they had that was trying to match human manipulation and, you know, looking at their games like Dota that they were trying to get as good as human play. And honestly, I didn’t think the language model stuff they were doing, even when they got to GPT-3, would show the ability to learn, you know, in the same sense that a human reads a biology book and is able to take that knowledge and access it not only to pass a test but also to create new medicines.  And so my challenge to them was that if their LLM could get a five on the advanced placement biology test, then I would say, OK, it took biologic knowledge and encoded it in an accessible way and that I didn’t expect them to do that very quickly but it would be profound.   And it was only about six months after I challenged them to do that, that an early version of GPT-4 they brought up to a dinner at my house, and in fact, it answered most of the questions that night very well. The one it got totally wrong, we were … because it was so good, we kept thinking, Oh, we must be wrong. It turned out it was a math weakness [LAUGHTER] that, you know, we later understood that that was an area of, weirdly, of incredible weakness of those early models. But, you know, that was when I realized, OK, the age of cheap intelligence was at its beginning.  LEE: Yeah. So I guess it seems like you had something similar to me in that my first encounters, I actually harbored some skepticism. Is it fair to say you were skeptical before that?  GATES: Well, the idea that we’ve figured out how to encode and access knowledge in this very deep sense without even understanding the nature of the encoding, …  LEE: Right.   GATES: … that is a bit weird.   LEE: Yeah.  GATES: We have an algorithm that creates the computation, but even say, OK, where is the president’s birthday stored in there? Where is this fact stored in there? The fact that even now when we’re playing around, getting a little bit more sense of it, it’s opaque to us what the semantic encoding is, it’s, kind of, amazing to me. I thought the invention of knowledge storage would be an explicit way of encoding knowledge, not an implicit statistical training.  LEE: Yeah, yeah. All right. So, Seb, you know, on this same topic, you know, I got—as we say at Microsoft—I got pulled into the tent. [LAUGHS]  BUBECK: Yes.   LEE: Because this was a very secret project. And then, um, I had the opportunity to select a small number of researchers in MSR [Microsoft Research] to join and start investigating this thing seriously. And the first person I pulled in was you.  BUBECK: Yeah.  LEE: And so what were your first encounters? Because I actually don’t remember what happened then.  BUBECK: Oh, I remember it very well. [LAUGHS] My first encounter with GPT-4 was in a meeting with the two of you, actually. But my kind of first contact, the first moment where I realized that something was happening with generative AI, was before that. And I agree with Bill that I also wasn’t too impressed by GPT-3.  I though that it was kind of, you know, very naturally mimicking the web, sort of parroting what was written there in a nice way. Still in a way which seemed very impressive. But it wasn’t really intelligent in any way. But shortly after GPT-3, there was a model before GPT-4 that really shocked me, and this was the first image generation model, DALL-E 1.  So that was in 2021. And I will forever remember the press release of OpenAI where they had this prompt of an avocado chair and then you had this image of the avocado chair. [LAUGHTER] And what really shocked me is that clearly the model kind of “understood” what is a chair, what is an avocado, and was able to merge those concepts.  So this was really, to me, the first moment where I saw some understanding in those models.   LEE: So this was, just to get the timing right, that was before I pulled you into the tent.  BUBECK: That was before. That was like a year before.  LEE: Right.   BUBECK: And now I will tell you how, you know, we went from that moment to the meeting with the two of you and GPT-4.  So once I saw this kind of understanding, I thought, OK, fine. It understands concept, but it’s still not able to reason. It cannot—as, you know, Bill was saying—it cannot learn from your document. It cannot reason.   So I set out to try to prove that. You know, this is what I was in the business of at the time, trying to prove things in mathematics. So I was trying to prove that basically autoregressive transformers could never reason. So I was trying to prove this. And after a year of work, I had something reasonable to show. And so I had the meeting with the two of you, and I had this example where I wanted to say, there is no way that an LLM is going to be able to do x.  And then as soon as I … I don’t know if you remember, Bill. But as soon as I said that, you said, oh, but wait a second. I had, you know, the OpenAI crew at my house recently, and they showed me a new model. Why don’t we ask this new model this question?   LEE: Yeah. BUBECK: And we did, and it solved it on the spot. And that really, honestly, just changed my life. Like, you know, I had been working for a year trying to say that this was impossible. And just right there, it was shown to be possible.   LEE: [LAUGHS] One of the very first things I got interested in—because I was really thinking a lot about healthcare—was healthcare and medicine.  And I don’t know if the two of you remember, but I ended up doing a lot of tests. I ran through, you know, step one and step two of the US Medical Licensing Exam. Did a whole bunch of other things. I wrote this big report. It was, you know, I can’t remember … a couple hundred pages.   And I needed to share this with someone. I didn’t … there weren’t too many people I could share it with. So I sent, I think, a copy to you, Bill. Sent a copy to you, Seb.   I hardly slept for about a week putting that report together. And, yeah, and I kept working on it. But I was far from alone. I think everyone who was in the tent, so to speak, in those early days was going through something pretty similar. All right. So I think … of course, a lot of what I put in the report also ended up being examples that made it into the book.  But the main purpose of this conversation isn’t to reminisce about [LAUGHS] or indulge in those reminiscences but to talk about what’s happening in healthcare and medicine. And, you know, as I said, we wrote this book. We did it very, very quickly. Seb, you helped. Bill, you know, you provided a review and some endorsements.  But, you know, honestly, we didn’t know what we were talking about because no one had access to this thing. And so we just made a bunch of guesses. So really, the whole thing I wanted to probe with the two of you is, now with two years of experience out in the world, what, you know, what do we think is happening today?  You know, is AI actually having an impact, positive or negative, on healthcare and medicine? And what do we now think is going to happen in the next two years, five years, or 10 years? And so I realize it’s a little bit too abstract to just ask it that way. So let me just try to narrow the discussion and guide us a little bit.   Um, the kind of administrative and clerical work, paperwork, around healthcare—and we made a lot of guesses about that—that appears to be going well, but, you know, Bill, I know we’ve discussed that sometimes that you think there ought to be a lot more going on. Do you have a viewpoint on how AI is actually finding its way into reducing paperwork?  GATES: Well, I’m stunned … I don’t think there should be a patient-doctor meeting where the AI is not sitting in and both transcribing, offering to help with the paperwork, and even making suggestions, although the doctor will be the one, you know, who makes the final decision about the diagnosis and whatever prescription gets done.   It’s so helpful. You know, when that patient goes home and their, you know, son who wants to understand what happened has some questions, that AI should be available to continue that conversation. And the way you can improve that experience and streamline things and, you know, involve the people who advise you. I don’t understand why that’s not more adopted, because there you still have the human in the loop making that final decision.  But even for, like, follow-up calls to make sure the patient did things, to understand if they have concerns and knowing when to escalate back to the doctor, the benefit is incredible. And, you know, that thing is ready for prime time. That paradigm is ready for prime time, in my view.  LEE: Yeah, there are some good products, but it seems like the number one use right now—and we kind of got this from some of the previous guests in previous episodes—is the use of AI just to respond to emails from patients. [LAUGHTER] Does that make sense to you?  BUBECK: Yeah. So maybe I want to second what Bill was saying but maybe take a step back first. You know, two years ago, like, the concept of clinical scribes, which is one of the things that we’re talking about right now, it would have sounded, in fact, it sounded two years ago, borderline dangerous. Because everybody was worried about hallucinations. What happened if you have this AI listening in and then it transcribes, you know, something wrong?  Now, two years later, I think it’s mostly working. And in fact, it is not yet, you know, fully adopted. You’re right. But it is in production. It is used, you know, in many, many places. So this rate of progress is astounding because it wasn’t obvious that we would be able to overcome those obstacles of hallucination. It’s not to say that hallucinations are fully solved. In the case of the closed system, they are.   Now, I think more generally what’s going on in the background is that there is something that we, that certainly I, underestimated, which is this management overhead. So I think the reason why this is not adopted everywhere is really a training and teaching aspect. People need to be taught, like, those systems, how to interact with them.  And one example that I really like, a study that recently appeared where they tried to use ChatGPT for diagnosis and they were comparing doctors without and with ChatGPT (opens in new tab). And the amazing thing … so this was a set of cases where the accuracy of the doctors alone was around 75%. ChatGPT alone was 90%. So that’s already kind of mind blowing. But then the kicker is that doctors with ChatGPT was 80%.   Intelligence alone is not enough. It’s also how it’s presented, how you interact with it. And ChatGPT, it’s an amazing tool. Obviously, I absolutely love it. But it’s not … you don’t want a doctor to have to type in, you know, prompts and use it that way.  It should be, as Bill was saying, kind of running continuously in the background, sending you notifications. And you have to be really careful of the rate at which those notifications are being sent. Because if they are too frequent, then the doctor will learn to ignore them. So you have to … all of those things matter, in fact, at least as much as the level of intelligence of the machine.  LEE: One of the things I think about, Bill, in that scenario that you described, doctors do some thinking about the patient when they write the note. So, you know, I’m always a little uncertain whether it’s actually … you know, you wouldn’t necessarily want to fully automate this, I don’t think. Or at least there needs to be some prompt to the doctor to make sure that the doctor puts some thought into what happened in the encounter with the patient. Does that make sense to you at all?  GATES: At this stage, you know, I’d still put the onus on the doctor to write the conclusions and the summary and not delegate that.  The tradeoffs you make a little bit are somewhat dependent on the situation you’re in. If you’re in Africa, So, yes, the doctor’s still going to have to do a lot of work, but just the quality of letting the patient and the people around them interact and ask questions and have things explained, that alone is such a quality improvement. It’s mind blowing.   LEE: So since you mentioned, you know, Africa—and, of course, this touches on the mission and some of the priorities of the Gates Foundation and this idea of democratization of access to expert medical care—what’s the most interesting stuff going on right now? Are there people and organizations or technologies that are impressing you or that you’re tracking?  GATES: Yeah. So the Gates Foundation has given out a lot of grants to people in Africa doing education, agriculture but more healthcare examples than anything. And the way these things start off, they often start out either being patient-centric in a narrow situation, like, OK, I’m a pregnant woman; talk to me. Or, I have infectious disease symptoms; talk to me. Or they’re connected to a health worker where they’re helping that worker get their job done. And we have lots of pilots out, you know, in both of those cases.   The dream would be eventually to have the thing the patient consults be so broad that it’s like having a doctor available who understands the local things.   LEE: Right.   GATES: We’re not there yet. But over the next two or three years, you know, particularly given the worsening financial constraints against African health systems, where the withdrawal of money has been dramatic, you know, figuring out how to take this—what I sometimes call “free intelligence”—and build a quality health system around that, we will have to be more radical in low-income countries than any rich country is ever going to be.   LEE: Also, there’s maybe a different regulatory environment, so some of those things maybe are easier? Because right now, I think the world hasn’t figured out how to and whether to regulate, let’s say, an AI that might give a medical diagnosis or write a prescription for a medication.  BUBECK: Yeah. I think one issue with this, and it’s also slowing down the deployment of AI in healthcare more generally, is a lack of proper benchmark. Because, you know, you were mentioning the USMLE [United States Medical Licensing Examination], for example. That’s a great test to test human beings and their knowledge of healthcare and medicine. But it’s not a great test to give to an AI.  It’s not asking the right questions. So finding what are the right questions to test whether an AI system is ready to give diagnosis in a constrained setting, that’s a very, very important direction, which to my surprise, is not yet accelerating at the rate that I was hoping for.  LEE: OK, so that gives me an excuse to get more now into the core AI tech because something I’ve discussed with both of you is this issue of what are the right tests. And you both know the very first test I give to any new spin of an LLM is I present a patient, the results—a mythical patient—the results of my physical exam, my mythical physical exam. Maybe some results of some initial labs. And then I present or propose a differential diagnosis. And if you’re not in medicine, a differential diagnosis you can just think of as a prioritized list of the possible diagnoses that fit with all that data. And in that proposed differential, I always intentionally make two mistakes.  I make a textbook technical error in one of the possible elements of the differential diagnosis, and I have an error of omission. And, you know, I just want to know, does the LLM understand what I’m talking about? And all the good ones out there do now. But then I want to know, can it spot the errors? And then most importantly, is it willing to tell me I’m wrong, that I’ve made a mistake?   That last piece seems really hard for AI today. And so let me ask you first, Seb, because at the time of this taping, of course, there was a new spin of GPT-4o last week that became overly sycophantic. In other words, it was actually prone in that test of mine not only to not tell me I’m wrong, but it actually praised me for the creativity of my differential. [LAUGHTER] What’s up with that?  BUBECK: Yeah, I guess it’s a testament to the fact that training those models is still more of an art than a science. So it’s a difficult job. Just to be clear with the audience, we have rolled back that [LAUGHS] version of GPT-4o, so now we don’t have the sycophant version out there.  Yeah, no, it’s a really difficult question. It has to do … as you said, it’s very technical. It has to do with the post-training and how, like, where do you nudge the model? So, you know, there is this very classical by now technique called RLHF [reinforcement learning from human feedback], where you push the model in the direction of a certain reward model. So the reward model is just telling the model, you know, what behavior is good, what behavior is bad.  But this reward model is itself an LLM, and, you know, Bill was saying at the very beginning of the conversation that we don’t really understand how those LLMs deal with concepts like, you know, where is the capital of France located? Things like that. It is the same thing for this reward model. We don’t know why it says that it prefers one output to another, and whether this is correlated with some sycophancy is, you know, something that we discovered basically just now. That if you push too hard in optimization on this reward model, you will get a sycophant model.  So it’s kind of … what I’m trying to say is we became too good at what we were doing, and we ended up, in fact, in a trap of the reward model.  LEE: I mean, you do want … it’s a difficult balance because you do want models to follow your desires and …  BUBECK: It’s a very difficult, very difficult balance.  LEE: So this brings up then the following question for me, which is the extent to which we think we’ll need to have specially trained models for things. So let me start with you, Bill. Do you have a point of view on whether we will need to, you know, quote-unquote take AI models to med school? Have them specially trained? Like, if you were going to deploy something to give medical care in underserved parts of the world, do we need to do something special to create those models?  GATES: We certainly need to teach them the African languages and the unique dialects so that the multimedia interactions are very high quality. We certainly need to teach them the disease prevalence and unique disease patterns like, you know, neglected tropical diseases and malaria. So we need to gather a set of facts that somebody trying to go for a US customer base, you know, wouldn’t necessarily have that in there.  Those two things are actually very straightforward because the additional training time is small. I’d say for the next few years, we’ll also need to do reinforcement learning about the context of being a doctor and how important certain behaviors are. Humans learn over the course of their life to some degree that, I’m in a different context and the way I behave in terms of being willing to criticize or be nice, you know, how important is it? Who’s here? What’s my relationship to them?   Right now, these machines don’t have that broad social experience. And so if you know it’s going to be used for health things, a lot of reinforcement learning of the very best humans in that context would still be valuable. Eventually, the models will, having read all the literature of the world about good doctors, bad doctors, it’ll understand as soon as you say, “I want you to be a doctor diagnosing somebody.” All of the implicit reinforcement that fits that situation, you know, will be there. LEE: Yeah. GATES: And so I hope three years from now, we don’t have to do that reinforcement learning. But today, for any medical context, you would want a lot of data to reinforce tone, willingness to say things when, you know, there might be something significant at stake.  LEE: Yeah. So, you know, something Bill said, kind of, reminds me of another thing that I think we missed, which is, the context also … and the specialization also pertains to different, I guess, what we still call “modes,” although I don’t know if the idea of multimodal is the same as it was two years ago. But, you know, what do you make of all of the hubbub around—in fact, within Microsoft Research, this is a big deal, but I think we’re far from alone—you know, medical images and vision, video, proteins and molecules, cell, you know, cellular data and so on.  BUBECK: Yeah. OK. So there is a lot to say to everything … to the last, you know, couple of minutes. Maybe on the specialization aspect, you know, I think there is, hiding behind this, a really fundamental scientific question of whether eventually we have a singular AGI [artificial general intelligence] that kind of knows everything and you can just put, you know, explain your own context and it will just get it and understand everything.  That’s one vision. I have to say, I don’t particularly believe in this vision. In fact, we humans are not like that at all. I think, hopefully, we are general intelligences, yet we have to specialize a lot. And, you know, I did myself a lot of RL, reinforcement learning, on mathematics. Like, that’s what I did, you know, spent a lot of time doing that. And I didn’t improve on other aspects. You know, in fact, I probably degraded in other aspects. [LAUGHTER] So it’s … I think it’s an important example to have in mind.  LEE: I think I might disagree with you on that, though, because, like, doesn’t a model have to see both good science and bad science in order to be able to gain the ability to discern between the two?  BUBECK: Yeah, no, that absolutely. I think there is value in seeing the generality, in having a very broad base. But then you, kind of, specialize on verticals. And this is where also, you know, open-weights model, which we haven’t talked about yet, are really important because they allow you to provide this broad base to everyone. And then you can specialize on top of it.  LEE: So we have about three hours of stuff to talk about, but our time is actually running low. BUBECK: Yes, yes, yes.   LEE: So I think I want … there’s a more provocative question. It’s almost a silly question, but I need to ask it of the two of you, which is, is there a future, you know, where AI replaces doctors or replaces, you know, medical specialties that we have today? So what does the world look like, say, five years from now?  GATES: Well, it’s important to distinguish healthcare discovery activity from healthcare delivery activity. We focused mostly on delivery. I think it’s very much within the realm of possibility that the AI is not only accelerating healthcare discovery but substituting for a lot of the roles of, you know, I’m an organic chemist, or I run various types of assays. I can see those, which are, you know, testable-output-type jobs but with still very high value, I can see, you know, some replacement in those areas before the doctor.   The doctor, still understanding the human condition and long-term dialogues, you know, they’ve had a lifetime of reinforcement of that, particularly when you get into areas like mental health. So I wouldn’t say in five years, either people will choose to adopt it, but it will be profound that there’ll be this nearly free intelligence that can do follow-up, that can help you, you know, make sure you went through different possibilities.  And so I’d say, yes, we’ll have doctors, but I’d say healthcare will be massively transformed in its quality and in efficiency by AI in that time period.  LEE: Is there a comparison, useful comparison, say, between doctors and, say, programmers, computer programmers, or doctors and, I don’t know, lawyers?  GATES: Programming is another one that has, kind of, a mathematical correctness to it, you know, and so the objective function that you’re trying to reinforce to, as soon as you can understand the state machines, you can have something that’s “checkable”; that’s correct. So I think programming, you know, which is weird to say, that the machine will beat us at most programming tasks before we let it take over roles that have deep empathy, you know, physical presence and social understanding in them.  LEE: Yeah. By the way, you know, I fully expect in five years that AI will produce mathematical proofs that are checkable for validity, easily checkable, because they’ll be written in a proof-checking language like Lean or something but will be so complex that no human mathematician can understand them. I expect that to happen.   I can imagine in some fields, like cellular biology, we could have the same situation in the future because the molecular pathways, the chemistry, biochemistry of human cells or living cells is as complex as any mathematics, and so it seems possible that we may be in a state where in wet lab, we see, Oh yeah, this actually works, but no one can understand why.  BUBECK: Yeah, absolutely. I mean, I think I really agree with Bill’s distinction of the discovery and the delivery, and indeed, the discovery’s when you can check things, and at the end, there is an artifact that you can verify. You know, you can run the protocol in the wet lab and see [if you have] produced what you wanted. So I absolutely agree with that.   And in fact, you know, we don’t have to talk five years from now. I don’t know if you know, but just recently, there was a paper that was published on a scientific discovery using o3- mini (opens in new tab). So this is really amazing. And, you know, just very quickly, just so people know, it was about this statistical physics model, the frustrated Potts model, which has to do with coloring, and basically, the case of three colors, like, more than two colors was open for a long time, and o3 was able to reduce the case of three colors to two colors.   LEE: Yeah.  BUBECK: Which is just, like, astounding. And this is not … this is now. This is happening right now. So this is something that I personally didn’t expect it would happen so quickly, and it’s due to those reasoning models.   Now, on the delivery side, I would add something more to it for the reason why doctors and, in fact, lawyers and coders will remain for a long time, and it’s because we still don’t understand how those models generalize. Like, at the end of the day, we are not able to tell you when they are confronted with a really new, novel situation, whether they will work or not.  Nobody is able to give you that guarantee. And I think until we understand this generalization better, we’re not going to be willing to just let the system in the wild without human supervision.  LEE: But don’t human doctors, human specialists … so, for example, a cardiologist sees a patient in a certain way that a nephrologist …  BUBECK: Yeah. LEE: … or an endocrinologist might not. BUBECK: That’s right. But another cardiologist will understand and, kind of, expect a certain level of generalization from their peer. And this, we just don’t have it with AI models. Now, of course, you’re exactly right. That generalization is also hard for humans. Like, if you have a human trained for one task and you put them into another task, then you don’t … you often don’t know. LEE: OK. You know, the podcast is focused on what’s happened over the last two years. But now, I’d like one provocative prediction about what you think the world of AI and medicine is going to be at some point in the future. You pick your timeframe. I don’t care if it’s two years or 20 years from now, but, you know, what do you think will be different about AI in medicine in that future than today?  BUBECK: Yeah, I think the deployment is going to accelerate soon. Like, we’re really not missing very much. There is this enormous capability overhang. Like, even if progress completely stopped, with current systems, we can do a lot more than what we’re doing right now. So I think this will … this has to be realized, you know, sooner rather than later.  And I think it’s probably dependent on these benchmarks and proper evaluation and tying this with regulation. So these are things that take time in human society and for good reason. But now we already are at two years; you know, give it another two years and it should be really …   LEE: Will AI prescribe your medicines? Write your prescriptions?  BUBECK: I think yes. I think yes.  LEE: OK. Bill?  GATES: Well, I think the next two years, we’ll have massive pilots, and so the amount of use of the AI, still in a copilot-type mode, you know, we should get millions of patient visits, you know, both in general medicine and in the mental health side, as well. And I think that’s going to build up both the data and the confidence to give the AI some additional autonomy. You know, are you going to let it talk to you at night when you’re panicked about your mental health with some ability to escalate? And, you know, I’ve gone so far as to tell politicians with national health systems that if they deploy AI appropriately, that the quality of care, the overload of the doctors, the improvement in the economics will be enough that their voters will be stunned because they just don’t expect this, and, you know, they could be reelected [LAUGHTER] just on this one thing of fixing what is a very overloaded and economically challenged health system in these rich countries.  You know, my personal role is going to be to make sure that in the poorer countries, there isn’t some lag; in fact, in many cases, that we’ll be more aggressive because, you know, we’re comparing to having no access to doctors at all. And, you know, so I think whether it’s India or Africa, there’ll be lessons that are globally valuable because we need medical intelligence. And, you know, thank god AI is going to provide a lot of that.  LEE: Well, on that optimistic note, I think that’s a good way to end. Bill, Seb, really appreciate all of this.   I think the most fundamental prediction we made in the book is that AI would actually find its way into the practice of medicine, and I think that that at least has come true, maybe in different ways than we expected, but it’s come true, and I think it’ll only accelerate from here. So thanks again, both of you.  [TRANSITION MUSIC]  GATES: Yeah. Thanks, you guys.  BUBECK: Thank you, Peter. Thanks, Bill.  LEE: I just always feel such a sense of privilege to have a chance to interact and actually work with people like Bill and Sébastien.    With Bill, I’m always amazed at how practically minded he is. He’s really thinking about the nuts and bolts of what AI might be able to do for people, and his thoughts about underserved parts of the world, the idea that we might actually be able to empower people with access to expert medical knowledge, I think is both inspiring and amazing.   And then, Seb, Sébastien Bubeck, he’s just absolutely a brilliant mind. He has a really firm grip on the deep mathematics of artificial intelligence and brings that to bear in his research and development work. And where that mathematics takes him isn’t just into the nuts and bolts of algorithms but into philosophical questions about the nature of intelligence.   One of the things that Sébastien brought up was the state of evaluation of AI systems. And indeed, he was fairly critical in our conversation. But of course, the world of AI research and development is just moving so fast, and indeed, since we recorded our conversation, OpenAI, in fact, released a new evaluation metric that is directly relevant to medical applications, and that is something called HealthBench. And Microsoft Research also released a new evaluation approach or process called ADeLe.   HealthBench and ADeLe are examples of new approaches to evaluating AI models that are less about testing their knowledge and ability to pass multiple-choice exams and instead are evaluation approaches designed to assess how well AI models are able to complete tasks that actually arise every day in typical healthcare or biomedical research settings. These are examples of really important good work that speak to how well AI models work in the real world of healthcare and biomedical research and how well they can collaborate with human beings in those settings.  You know, I asked Bill and Seb to make some predictions about the future. You know, my own answer, I expect that we’re going to be able to use AI to change how we diagnose patients, change how we decide treatment options.   If you’re a doctor or a nurse and you encounter a patient, you’ll ask questions, do a physical exam, you know, call out for labs just like you do today, but then you’ll be able to engage with AI based on all of that data and just ask, you know, based on all the other people who have gone through the same experience, who have similar data, how were they diagnosed? How were they treated? What were their outcomes? And what does that mean for the patient I have right now? Some people call it the “patients like me” paradigm. And I think that’s going to become real because of AI within our lifetimes. That idea of really grounding the delivery in healthcare and medical practice through data and intelligence, I actually now don’t see any barriers to that future becoming real.  [THEME MUSIC]  I’d like to extend another big thank you to Bill and Sébastien for their time. And to our listeners, as always, it’s a pleasure to have you along for the ride. I hope you’ll join us for our remaining conversations, as well as a second coauthor roundtable with Carey and Zak.   Until next time.   [MUSIC FADES]
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  • Xbox to launch hi-tech handheld gaming devices to take on Nintendo Switch 2

    You’ll be able to play all the best Xbox exclusives like Call of Duty, Fable and Halo as well as third-party hit blockbusters on the moveTech14:04, 12 Jun 2025The new Xbox handheld consoleXbox has new hi-tech handheld gaming devices on the way to take on Switch 2.Teaming up with Asus, the ROG Xbox Ally X is all about on-the-go gaming, with a full immersive Xbox experience for the first time in handheld and a packed gaming library with access to installed games from leading PC storefronts and the console firm.‌Using Windows 11 software, you’ll be able to play all the best Xbox exclusives like Call of Duty, Fable and Halo as well as third-party hit blockbusters.‌It’ll include a dedicated Xbox button for chat, apps, and settings through an enhanced Game Bar overlay.And the machine will have the latest AMD Ryzen chipset technology so that it’s super powerful, with a 7in 1080p display and up to a terabyte storage under the hood for plenty of download space.There will be two devices though, the Ally as well as the Ally X.Article continues belowThe Xbox Ally XREAD MORE: June 2025's biggest new game releases for console and PC, including Nintendo Switch 2READ MORE: Does Nintendo Switch 2 have a YouTube app? All we know so farThe difference is chip quality and storage, so the Ally will likely be cheaper. We have no prices yet. They are expected to hit stores by Christmas.A spokesman said: “Everything at Xbox starts with the player. That’s why we’ve dedicated years to reimagining how to make it easier to enjoy the games you love—wherever you are—through Xbox Play Anywhere, Game Pass, Xbox Cloud Gaming, Remote Play, and more. Whether you’re at home or on the go, your favorite games should follow you.‌You'll be able to play Call of Duty on the goREAD MORE: Daily Star's newsletter brings you the biggest and best stories – sign up todayASUS shares that same commitment. Known for pushing the boundaries of handheld gaming, ASUS is similarly driven by innovation that delivers high-performance experiences that put players first.“Together, we’ve combined our strengths and technical expertise to introduce something entirely new .‌“These handhelds are built to make it easier than ever to access your favourite games—from Xbox, Battle.net, and other leading PC storefronts—all from a single device.”It comes after the Nintendo Switch 2 sold more than 3.5 million units worldwide in its first week, becoming the fastest-selling Nintendo hardware ever.Luciano Pereña, CEO and President of Nintendo of Europe, said: "Nintendo Switch 2 represents the next evolution of Nintendo Switch, and we’re very happy and grateful to see it already being embraced by so many players across Europe.Article continues below“We look forward to seeing players connecting through games like Mario Kart World, sharing the experience with friends and family whether near or far.”‌‌‌
    #xbox #launch #hitech #handheld #gaming
    Xbox to launch hi-tech handheld gaming devices to take on Nintendo Switch 2
    You’ll be able to play all the best Xbox exclusives like Call of Duty, Fable and Halo as well as third-party hit blockbusters on the moveTech14:04, 12 Jun 2025The new Xbox handheld consoleXbox has new hi-tech handheld gaming devices on the way to take on Switch 2.Teaming up with Asus, the ROG Xbox Ally X is all about on-the-go gaming, with a full immersive Xbox experience for the first time in handheld and a packed gaming library with access to installed games from leading PC storefronts and the console firm.‌Using Windows 11 software, you’ll be able to play all the best Xbox exclusives like Call of Duty, Fable and Halo as well as third-party hit blockbusters.‌It’ll include a dedicated Xbox button for chat, apps, and settings through an enhanced Game Bar overlay.And the machine will have the latest AMD Ryzen chipset technology so that it’s super powerful, with a 7in 1080p display and up to a terabyte storage under the hood for plenty of download space.There will be two devices though, the Ally as well as the Ally X.Article continues belowThe Xbox Ally XREAD MORE: June 2025's biggest new game releases for console and PC, including Nintendo Switch 2READ MORE: Does Nintendo Switch 2 have a YouTube app? All we know so farThe difference is chip quality and storage, so the Ally will likely be cheaper. We have no prices yet. They are expected to hit stores by Christmas.A spokesman said: “Everything at Xbox starts with the player. That’s why we’ve dedicated years to reimagining how to make it easier to enjoy the games you love—wherever you are—through Xbox Play Anywhere, Game Pass, Xbox Cloud Gaming, Remote Play, and more. Whether you’re at home or on the go, your favorite games should follow you.‌You'll be able to play Call of Duty on the goREAD MORE: Daily Star's newsletter brings you the biggest and best stories – sign up todayASUS shares that same commitment. Known for pushing the boundaries of handheld gaming, ASUS is similarly driven by innovation that delivers high-performance experiences that put players first.“Together, we’ve combined our strengths and technical expertise to introduce something entirely new .‌“These handhelds are built to make it easier than ever to access your favourite games—from Xbox, Battle.net, and other leading PC storefronts—all from a single device.”It comes after the Nintendo Switch 2 sold more than 3.5 million units worldwide in its first week, becoming the fastest-selling Nintendo hardware ever.Luciano Pereña, CEO and President of Nintendo of Europe, said: "Nintendo Switch 2 represents the next evolution of Nintendo Switch, and we’re very happy and grateful to see it already being embraced by so many players across Europe.Article continues below“We look forward to seeing players connecting through games like Mario Kart World, sharing the experience with friends and family whether near or far.”‌‌‌ #xbox #launch #hitech #handheld #gaming
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    Xbox to launch hi-tech handheld gaming devices to take on Nintendo Switch 2
    You’ll be able to play all the best Xbox exclusives like Call of Duty, Fable and Halo as well as third-party hit blockbusters on the moveTech14:04, 12 Jun 2025The new Xbox handheld consoleXbox has new hi-tech handheld gaming devices on the way to take on Switch 2.Teaming up with Asus, the ROG Xbox Ally X is all about on-the-go gaming, with a full immersive Xbox experience for the first time in handheld and a packed gaming library with access to installed games from leading PC storefronts and the console firm.‌Using Windows 11 software, you’ll be able to play all the best Xbox exclusives like Call of Duty, Fable and Halo as well as third-party hit blockbusters.‌It’ll include a dedicated Xbox button for chat, apps, and settings through an enhanced Game Bar overlay.And the machine will have the latest AMD Ryzen chipset technology so that it’s super powerful, with a 7in 1080p display and up to a terabyte storage under the hood for plenty of download space.There will be two devices though, the Ally as well as the Ally X.Article continues belowThe Xbox Ally XREAD MORE: June 2025's biggest new game releases for console and PC, including Nintendo Switch 2READ MORE: Does Nintendo Switch 2 have a YouTube app? All we know so farThe difference is chip quality and storage, so the Ally will likely be cheaper. We have no prices yet. They are expected to hit stores by Christmas.A spokesman said: “Everything at Xbox starts with the player. That’s why we’ve dedicated years to reimagining how to make it easier to enjoy the games you love—wherever you are—through Xbox Play Anywhere, Game Pass, Xbox Cloud Gaming (Beta), Remote Play, and more. Whether you’re at home or on the go, your favorite games should follow you.‌You'll be able to play Call of Duty on the goREAD MORE: Daily Star's newsletter brings you the biggest and best stories – sign up todayASUS shares that same commitment. Known for pushing the boundaries of handheld gaming, ASUS is similarly driven by innovation that delivers high-performance experiences that put players first.“Together, we’ve combined our strengths and technical expertise to introduce something entirely new .‌“These handhelds are built to make it easier than ever to access your favourite games—from Xbox, Battle.net, and other leading PC storefronts—all from a single device.”It comes after the Nintendo Switch 2 sold more than 3.5 million units worldwide in its first week, becoming the fastest-selling Nintendo hardware ever.Luciano Pereña, CEO and President of Nintendo of Europe, said: "Nintendo Switch 2 represents the next evolution of Nintendo Switch, and we’re very happy and grateful to see it already being embraced by so many players across Europe.Article continues below“We look forward to seeing players connecting through games like Mario Kart World, sharing the experience with friends and family whether near or far.”‌‌‌
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