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2025-05-20 00:51:06 - Translate -

These Older Fitness Watches Are the Best Value Garmins, and They’re Always on Sale

We may earn a commission from links on this page.If you're looking for a Garmin watch at a great price, the recent drops of the Forerunner 570 and 970 is excellent news—not because you should pick up those modelsbut because the older generations of Forerunner, which remain excellent watches, are now going for ludicrously low prices. The previous models, the 265 and 965, are great, but you can go back one more generation to the 255 and 955—released in 2022—and save hundreds of dollars without sacrificing any major functionality. I truly can't think of any fitness watch that is a better deal right now, given the prices we're seeing on these two: currently for the Forerunner 255, and for the Forerunner 955, which is the upgraded version with maps and a few extra training features.

Garmin Forerunner 255 GPS Running SmartwatchWhy am I recommending three-year-old watches? I'll get into the specs below, but the important context here is that Garmin's Forerunners have serious longevity. Running app Strava releases year-end trend reports that consistently show older Forerunners among the nation's and the world's most popular running watches. The most recent report, for example, had the Garmin Forerunner 245 in third place, after the Apple Watch and Apple Watch SE. That's a five-year-old watch. Not long ago, the Forerunner 235, then an eight-year-old watch, was the most popular worldwide. These things last!What the 255 and 955 are missing compared to newer modelsLeft: 265S. Right: 255.
Credit: Beth Skwarecki

The numbered models can get confusing, but I promise you’ll be able to follow along. All the watches that start with a 9 are the top-of-the-line Forerunnersand most of those came with a little sibling that starts with a 2. The 9xx series have onboard maps that let you see exactly where you are and where you're going. The 2xx watches have breadcrumb navigation that shows you the general shape of the route you've already taken. If you need a map on your wrist, you probably want to go for a 9xx. I wrote about the newest models here, so you can see what the 970 has over the 965. The big feature is that the 570 and 970 support voice calling and voice texts, and the 970 has a built-in LED flashlight. If those features aren't must-haves for you, take a look at the next generation back. The 265 and 965 are excellent watches with important functionality, like dual-band GPS. you can read my review of the 265 here:, and note that the 265 is my own personal running watch, the one that I bought with my own money because I love it. The 265 has a ton of great features for runners. Some are concrete and functional: physical buttons, lots of options for data screens, and a dual-band GPS for extra location accuracy. Others are more software-y but still arguably useful: training status, daily suggested workouts. The battery also lasts between one and two weeks, depending on how many workouts you do. The 965 has all that, plus onboard maps, so you can see where you are relative to roads, bodies of water, and so on. It's also got a few extra training statistics, like an endurance score and a heat acclimation score. The 255 and 955 have all of these same features. The only features that are meaningfully different between the x55 and x65 series are:The 255/955 have the older, always-on MIP screen, while the 265 has a smartphone-style AMOLED screen. I have more here on the difference between those screen types.The 255/955 don't have touchscreens. You’ll use the UP and DOWN buttons on the left side to scroll through options. The 255 can’t store music, unless you buy the 255 Music version. The 955 has music storage built in, just like the 265 and 965 do.The 255 doesn’t have Training Readiness, but it does have Training Status. The 955, 265, and 965 all have Training Readiness.For the detailed list of every minor feature that’s different between the two, you can check out this comparison page on Garmin’s site. Which Forerunner 255 version you should getThere is only one Forerunner 955, but there are four versions of the 255, and two versions of the 265. The regular Forerunner 255 is the larger sizeand does not have music storage. The Forerunner 255S is the smaller sizeand also does not have music storage.The Forerunner 255 Music is the larger sizeand does have music storage, so you can play tunes from the watch while leaving your phone at home.The Forerunner 255S Music is the smaller sizewith music storage. Personally, I always have my phone with me when I run, so I’ve never found the standalone music feature very helpful. If you think you might use it, though, it’s normally a upgrade, but currently only a upgrade on the larger size of the watch.To help you decide, the photo above shows the difference in screens between the AMOLED 265Sand MIP 255. It also shows the size difference between the smaller and larger models; the 265S on the left is 41.7 mm, very close to the 255S at 41 mm. How old is the 255, anyway? The 255 is only one year older than the 265. They were released in 2022 and 2023, respectively. Before that, Forerunner releases tended to be three to four years apart. The quick turnaround between the 255 and 265 makes sense when you realize they’re basically the same watch with a different display.So I wouldn’t expect a 255 to feel outdated anytime soon. The main question you need to ask yourself is: How do I feel about a MIP screen? I’ve written more about the difference between MIP and AMOLED here. MIP screens don’t light up, although they have a backlight that can come on automatically when you raise your wrist. At rest, they are “always on,” in the sense that they’re always displaying something, so you’ll never look down at a blank screen. They’re also brightly reflective in sunlight. AMOLED screens are more like a smartphone screen, with glowing pixels, and watches typically turn off the display when you’re not using it to save energy.That said, the overall battery life on both watches is similar on default settings—14 days not counting activities for the 255, and 13 days for the 265. Some people prefer the MIP screens, and if that includes you, this is a no-brainer: snag the 255 or 955. You can even get a refurbished version for which makes this one of the cheapest Garmin watches in any line. The bottom linePrices on Forerunners have been fluctuating lately, so I'm hesitant to give any dollar-for-dollar comparisons, but here's what I'm seeing at the moment I write this. Officially, Garmin is selling the 255 and 265 for the same price, The 955 and 965 are going for the same price, At those prices, you might as well get the -65 version of whichever watch you prefer. But over on Amazon, I'm seeing prices as low as for the 255 and for the 955. That means a 255 is the same price as the anemic Forerunner 165and the 955 is the same price as a 265! Check prices to see if these deals are still live by the time you read this, and ultimately decide based on features.
#these #older #fitness #watches #are

These Older Fitness Watches Are the Best Value Garmins, and They’re Always on Sale

We may earn a commission from links on this page.If you're looking for a Garmin watch at a great price, the recent drops of the Forerunner 570 and 970 is excellent news—not because you should pick up those modelsbut because the older generations of Forerunner, which remain excellent watches, are now going for ludicrously low prices. The previous models, the 265 and 965, are great, but you can go back one more generation to the 255 and 955—released in 2022—and save hundreds of dollars without sacrificing any major functionality. I truly can't think of any fitness watch that is a better deal right now, given the prices we're seeing on these two: currently for the Forerunner 255, and for the Forerunner 955, which is the upgraded version with maps and a few extra training features. Garmin Forerunner 255 GPS Running SmartwatchWhy am I recommending three-year-old watches? I'll get into the specs below, but the important context here is that Garmin's Forerunners have serious longevity. Running app Strava releases year-end trend reports that consistently show older Forerunners among the nation's and the world's most popular running watches. The most recent report, for example, had the Garmin Forerunner 245 in third place, after the Apple Watch and Apple Watch SE. That's a five-year-old watch. Not long ago, the Forerunner 235, then an eight-year-old watch, was the most popular worldwide. These things last!What the 255 and 955 are missing compared to newer modelsLeft: 265S. Right: 255. Credit: Beth Skwarecki The numbered models can get confusing, but I promise you’ll be able to follow along. All the watches that start with a 9 are the top-of-the-line Forerunnersand most of those came with a little sibling that starts with a 2. The 9xx series have onboard maps that let you see exactly where you are and where you're going. The 2xx watches have breadcrumb navigation that shows you the general shape of the route you've already taken. If you need a map on your wrist, you probably want to go for a 9xx. I wrote about the newest models here, so you can see what the 970 has over the 965. The big feature is that the 570 and 970 support voice calling and voice texts, and the 970 has a built-in LED flashlight. If those features aren't must-haves for you, take a look at the next generation back. The 265 and 965 are excellent watches with important functionality, like dual-band GPS. you can read my review of the 265 here:, and note that the 265 is my own personal running watch, the one that I bought with my own money because I love it. The 265 has a ton of great features for runners. Some are concrete and functional: physical buttons, lots of options for data screens, and a dual-band GPS for extra location accuracy. Others are more software-y but still arguably useful: training status, daily suggested workouts. The battery also lasts between one and two weeks, depending on how many workouts you do. The 965 has all that, plus onboard maps, so you can see where you are relative to roads, bodies of water, and so on. It's also got a few extra training statistics, like an endurance score and a heat acclimation score. The 255 and 955 have all of these same features. The only features that are meaningfully different between the x55 and x65 series are:The 255/955 have the older, always-on MIP screen, while the 265 has a smartphone-style AMOLED screen. I have more here on the difference between those screen types.The 255/955 don't have touchscreens. You’ll use the UP and DOWN buttons on the left side to scroll through options. The 255 can’t store music, unless you buy the 255 Music version. The 955 has music storage built in, just like the 265 and 965 do.The 255 doesn’t have Training Readiness, but it does have Training Status. The 955, 265, and 965 all have Training Readiness.For the detailed list of every minor feature that’s different between the two, you can check out this comparison page on Garmin’s site. Which Forerunner 255 version you should getThere is only one Forerunner 955, but there are four versions of the 255, and two versions of the 265. The regular Forerunner 255 is the larger sizeand does not have music storage. The Forerunner 255S is the smaller sizeand also does not have music storage.The Forerunner 255 Music is the larger sizeand does have music storage, so you can play tunes from the watch while leaving your phone at home.The Forerunner 255S Music is the smaller sizewith music storage. Personally, I always have my phone with me when I run, so I’ve never found the standalone music feature very helpful. If you think you might use it, though, it’s normally a upgrade, but currently only a upgrade on the larger size of the watch.To help you decide, the photo above shows the difference in screens between the AMOLED 265Sand MIP 255. It also shows the size difference between the smaller and larger models; the 265S on the left is 41.7 mm, very close to the 255S at 41 mm. How old is the 255, anyway? The 255 is only one year older than the 265. They were released in 2022 and 2023, respectively. Before that, Forerunner releases tended to be three to four years apart. The quick turnaround between the 255 and 265 makes sense when you realize they’re basically the same watch with a different display.So I wouldn’t expect a 255 to feel outdated anytime soon. The main question you need to ask yourself is: How do I feel about a MIP screen? I’ve written more about the difference between MIP and AMOLED here. MIP screens don’t light up, although they have a backlight that can come on automatically when you raise your wrist. At rest, they are “always on,” in the sense that they’re always displaying something, so you’ll never look down at a blank screen. They’re also brightly reflective in sunlight. AMOLED screens are more like a smartphone screen, with glowing pixels, and watches typically turn off the display when you’re not using it to save energy.That said, the overall battery life on both watches is similar on default settings—14 days not counting activities for the 255, and 13 days for the 265. Some people prefer the MIP screens, and if that includes you, this is a no-brainer: snag the 255 or 955. You can even get a refurbished version for which makes this one of the cheapest Garmin watches in any line. The bottom linePrices on Forerunners have been fluctuating lately, so I'm hesitant to give any dollar-for-dollar comparisons, but here's what I'm seeing at the moment I write this. Officially, Garmin is selling the 255 and 265 for the same price, The 955 and 965 are going for the same price, At those prices, you might as well get the -65 version of whichever watch you prefer. But over on Amazon, I'm seeing prices as low as for the 255 and for the 955. That means a 255 is the same price as the anemic Forerunner 165and the 955 is the same price as a 265! Check prices to see if these deals are still live by the time you read this, and ultimately decide based on features. #these #older #fitness #watches #are

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These Older Fitness Watches Are the Best Value Garmins, and They’re Always on Sale

We may earn a commission from links on this page.If you're looking for a Garmin watch at a great price, the recent drops of the Forerunner 570 and 970 is excellent news—not because you should pick up those models (they're fine, I guess) but because the older generations of Forerunner, which remain excellent watches, are now going for ludicrously low prices. The previous models, the 265 and 965, are great, but you can go back one more generation to the 255 and 955—released in 2022—and save hundreds of dollars without sacrificing any major functionality. I truly can't think of any fitness watch that is a better deal right now, given the prices we're seeing on these two: currently $247 for the Forerunner 255, and $373 for the Forerunner 955, which is the upgraded version with maps and a few extra training features. Garmin Forerunner 255 GPS Running Smartwatch (Gray) $247.50 at Amazon $349.99 Save $102.49 Get Deal Get Deal $247.50 at Amazon $349.99 Save $102.49 Why am I recommending three-year-old watches? I'll get into the specs below, but the important context here is that Garmin's Forerunners have serious longevity. Running app Strava releases year-end trend reports that consistently show older Forerunners among the nation's and the world's most popular running watches. The most recent report, for example, had the Garmin Forerunner 245 in third place, after the Apple Watch and Apple Watch SE. That's a five-year-old watch. Not long ago, the Forerunner 235, then an eight-year-old watch, was the most popular worldwide. These things last!What the 255 and 955 are missing compared to newer models (not much) Left: 265S (the smaller, newer model). Right: 255 (the larger one with the MIP screen that's currently on sale). Credit: Beth Skwarecki The numbered models can get confusing, but I promise you’ll be able to follow along. All the watches that start with a 9 are the top-of-the-line Forerunners (the 955 was replaced by the 965 and most recently the 970) and most of those came with a little sibling that starts with a 2 (respectively: the 255, 265, and in a break from tradition, 570). The 9xx series have onboard maps that let you see exactly where you are and where you're going. The 2xx watches have breadcrumb navigation that shows you the general shape of the route you've already taken. If you need a map on your wrist, you probably want to go for a 9xx. I wrote about the newest models here, so you can see what the 970 has over the 965 (and what the 570 has over the 265). The big feature is that the 570 and 970 support voice calling and voice texts, and the 970 has a built-in LED flashlight. If those features aren't must-haves for you, take a look at the next generation back. The 265 and 965 are excellent watches with important functionality, like dual-band GPS. you can read my review of the 265 here:, and note that the 265 is my own personal running watch, the one that I bought with my own money because I love it. The 265 has a ton of great features for runners. Some are concrete and functional: physical buttons, lots of options for data screens, and a dual-band GPS for extra location accuracy. Others are more software-y but still arguably useful: training status, daily suggested workouts. The battery also lasts between one and two weeks, depending on how many workouts you do. The 965 has all that, plus onboard maps, so you can see where you are relative to roads, bodies of water, and so on. It's also got a few extra training statistics, like an endurance score and a heat acclimation score. The 255 and 955 have all of these same features. The only features that are meaningfully different between the x55 and x65 series are:The 255/955 have the older, always-on MIP screen, while the 265 has a smartphone-style AMOLED screen. I have more here on the difference between those screen types.The 255/955 don't have touchscreens. You’ll use the UP and DOWN buttons on the left side to scroll through options. The 255 can’t store music, unless you buy the 255 Music version. The 955 has music storage built in, just like the 265 and 965 do.The 255 doesn’t have Training Readiness, but it does have Training Status. (Personally, I never use Training Readiness, so this isn’t much of a loss. You can always look at your HRV trend, which the watch also reports, if you want a sense of how recovered you are each morning.) The 955, 265, and 965 all have Training Readiness.For the detailed list of every minor feature that’s different between the two, you can check out this comparison page on Garmin’s site. Which Forerunner 255 version you should getThere is only one Forerunner 955, but there are four versions of the 255, and two versions of the 265. The regular Forerunner 255 is the larger size (45.6 mm) and does not have music storage. The Forerunner 255S is the smaller size (41 mm) and also does not have music storage.The Forerunner 255 Music is the larger size (45.6 mm) and does have music storage, so you can play tunes from the watch while leaving your phone at home.The Forerunner 255S Music is the smaller size (41 mm) with music storage. Personally, I always have my phone with me when I run, so I’ve never found the standalone music feature very helpful. If you think you might use it, though, it’s normally a $50 upgrade, but currently only a $20 upgrade on the larger size of the watch.To help you decide, the photo above shows the difference in screens between the AMOLED 265S (left) and MIP 255 (right). It also shows the size difference between the smaller and larger models; the 265S on the left is 41.7 mm, very close to the 255S at 41 mm. How old is the 255, anyway? The 255 is only one year older than the 265. They were released in 2022 and 2023, respectively. Before that, Forerunner releases tended to be three to four years apart. The quick turnaround between the 255 and 265 makes sense when you realize they’re basically the same watch with a different display.So I wouldn’t expect a 255 to feel outdated anytime soon. The main question you need to ask yourself is: How do I feel about a MIP screen? I’ve written more about the difference between MIP and AMOLED here. MIP screens don’t light up, although they have a backlight that can come on automatically when you raise your wrist. At rest, they are “always on,” in the sense that they’re always displaying something, so you’ll never look down at a blank screen. They’re also brightly reflective in sunlight. AMOLED screens are more like a smartphone screen, with glowing pixels, and watches typically turn off the display when you’re not using it to save energy. (You can enable an always-on setting, but it eats battery.) That said, the overall battery life on both watches is similar on default settings—14 days not counting activities for the 255, and 13 days for the 265. Some people prefer the MIP screens, and if that includes you, this is a no-brainer: snag the 255 or 955. You can even get a refurbished version for $179.99, which makes this one of the cheapest Garmin watches in any line. The bottom line (check prices) Prices on Forerunners have been fluctuating lately, so I'm hesitant to give any dollar-for-dollar comparisons, but here's what I'm seeing at the moment I write this. Officially, Garmin is selling the 255 and 265 for the same price, $349.99. The 955 and 965 are going for the same price, $499.99. At those prices, you might as well get the -65 version of whichever watch you prefer. But over on Amazon, I'm seeing prices as low as $247 for the 255 and $373 for the 955. That means a 255 is the same price as the anemic Forerunner 165 (it's OK as a budget watch, but it's missing a lot of features that the 255/265 have) and the 955 is the same price as a 265! Check prices to see if these deals are still live by the time you read this, and ultimately decide based on features.

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2025-05-13 13:57:07 - Translate -

#333;">How to Spot AI Hype and Avoid The AI Con, According to Two Experts

"Artificial intelligence, if we're being frank, is a con: a bill of goods you are being sold to line someone's pockets."That is the heart of the argument that linguist Emily Bender and sociologist Alex Hanna make in their new book The AI Con.
It's a useful guide for anyone whose life has intersected with technologies sold as artificial intelligence and anyone who's questioned their real usefulness, which is most of us.
Bender is a professor at the University of Washington who was named one of Time magazine's most influential people in artificial intelligence, and Hanna is the director of research at the nonprofit Distributed AI Research Institute and a former member of the ethical AI team at Google.The explosion of ChatGPT in late 2022 kicked off a new hype cycle in AI.
Hype, as the authors define it, is the "aggrandizement" of technology that you are convinced you need to buy or invest in "lest you miss out on entertainment or pleasure, monetary reward, return on investment, or market share." But it's not the first time, nor likely the last, that scholars, government leaders and regular people have been intrigued and worried by the idea of machine learning and AI.Bender and Hanna trace the roots of machine learning back to the 1950s, to when mathematician John McCarthy coined the term artificial intelligence.
It was in an era when the United States was looking to fund projects that would help the country gain any kind of edge on the Soviets militarily, ideologically and technologically.
"It didn't spring whole cloth out of Zeus's head or anything.
This has a longer history," Hanna said in an interview with CNET.
"It's certainly not the first hype cycle with, quote, unquote, AI."Today's hype cycle is propelled by the billions of dollars of venture capital investment into startups like OpenAI and the tech giants like Meta, Google and Microsoft pouring billions of dollars into AI research and development.
The result is clear, with all the newest phones, laptops and software updates drenched in AI-washing.
And there are no signs that AI research and development will slow down, thanks in part to a growing motivation to beat China in AI development.
Not the first hype cycle indeed.Of course, generative AI in 2025 is much more advanced than the Eliza psychotherapy chatbot that first enraptured scientists in the 1970s.
Today's business leaders and workers are inundated with hype, with a heavy dose of FOMO and seemingly complex but often misused jargon.
Listening to tech leaders and AI enthusiasts, it might seem like AI will take your job to save your company money.
But the authors argue that neither is wholly likely, which is one reason why it's important to recognize and break through the hype.So how do we recognize AI hype? These are a few telltale signs, according to Bender and Hanna, that we share below.
The authors outline more questions to ask and strategies for AI hype busting in their book, which is out now in the US.Watch out for language that humanizes AIAnthropomorphizing, or the process of giving an inanimate object human-like characteristics or qualities, is a big part of building AI hype.
An example of this kind of language can be found when AI companies say their chatbots can now "see" and "think."These can be useful comparisons when trying to describe the ability of new object-identifying AI programs or deep-reasoning AI models, but they can also be misleading.
AI chatbots aren't capable of seeing of thinking because they don't have brains.
Even the idea of neural nets, Hanna noted in our interview and in the book, is based on human understanding of neurons from the 1950s, not actually how neurons work, but it can fool us into believing there's a brain behind the machine.That belief is something we're predisposed to because of how we as humans process language.
We're conditioned to imagine that there is a mind behind the text we see, even when we know it's generated by AI, Bender said.
"We interpret language by developing a model in our minds of who the speaker was," Bender added.In these models, we use our knowledge of the person speaking to create meaning, not just using the meaning of the words they say.
"So when we encounter synthetic text extruded from something like ChatGPT, we're going to do the same thing," Bender said.
"And it is very hard to remind ourselves that the mind isn't there.
It's just a construct that we have produced."The authors argue that part of why AI companies try to convince us their products are human-like is that this sets the foreground for them to convince us that AI can replace humans, whether it's at work or as creators.
It's compelling for us to believe that AI could be the silver bullet fix to complicated problems in critical industries like health care and government services.But more often than not, the authors argue, AI isn't bring used to fix anything.
AI is sold with the goal of efficiency, but AI services end up replacing qualified workers with black box machines that need copious amounts of babysitting from underpaid contract or gig workers.
As Hanna put it in our interview, "AI is not going to take your job, but it will make your job shittier."Be dubious of the phrase 'super intelligence'If a human can't do something, you should be wary of claims that an AI can do it.
"Superhuman intelligence, or super intelligence, is a very dangerous turn of phrase, insofar as it thinks that some technology is going to make humans superfluous," Hanna said.
In "certain domains, like pattern matching at scale, computers are quite good at that.
But if there's an idea that there's going to be a superhuman poem, or a superhuman notion of research or doing science, that is clear hype." Bender added, "And we don't talk about airplanes as superhuman flyers or rulers as superhuman measurers, it seems to be only in this AI space that that comes up."The idea of AI "super intelligence" comes up often when people talk about artificial general intelligence.
Many CEOs struggle to define what exactly AGI is, but it's essentially AI's most advanced form, potentially capable of making decisions and handling complex tasks.
There's still no evidence we're anywhere near a future enabled by AGI, but it's a popular buzzword.Many of these future-looking statements from AI leaders borrow tropes from science fiction.
Both boosters and doomers — how Bender and Hanna describe AI enthusiasts and those worried about the potential for harm — rely on sci-fi scenarios.
The boosters imagine an AI-powered futuristic society.
The doomers bemoan a future where AI robots take over the world and wipe out humanity.The connecting thread, according to the authors, is an unshakable belief that AI is smarter than humans and inevitable.
"One of the things that we see a lot in the discourse is this idea that the future is fixed, and it's just a question of how fast we get there," Bender said.
"And then there's this claim that this particular technology is a step on that path, and it's all marketing.
It is helpful to be able to see behind it."Part of why AI is so popular is that an autonomous functional AI assistant would mean AI companies are fulfilling their promises of world-changing innovation to their investors.
Planning for that future — whether it's a utopia or dystopia — keeps investors looking forward as the companies burn through billions of dollars and admit they'll miss their carbon emission goals.
For better or worse, life is not science fiction.
Whenever you see someone claiming their AI product is straight out of a movie, it's a good sign to approach with skepticism.
Ask what goes in and how outputs are evaluatedOne of the easiest ways to see through AI marketing fluff is to look and see whether the company is disclosing how it operates.
Many AI companies won't tell you what content is used to train their models.
But they usually disclose what the company does with your data and sometimes brag about how their models stack up against competitors.
That's where you should start looking, typically in their privacy policies.One of the top complaints and concerns from creators is how AI models are trained.
There are many lawsuits over alleged copyright infringement, and there are a lot of concerns over bias in AI chatbots and their capacity for harm.
"If you wanted to create a system that is designed to move things forward rather than reproduce the oppressions of the past, you would have to start by curating your data," Bender said.
Instead, AI companies are grabbing "everything that wasn't nailed down on the internet," Hanna said.If you're hearing about an AI product for the first time, one thing in particular to look out for is any kind of statistic that highlights its effectiveness.
Like many other researchers, Bender and Hanna have called out that a finding with no citation is a red flag.
"Anytime someone is selling you something but not giving you access to how it was evaluated, you are on thin ice," Bender said.It can be frustrating and disappointing when AI companies don't disclose certain information about how their AI products work and how they were developed.
But recognizing those holes in their sales pitch can help deflate hype, even though it would be better to have the information.
For more, check out our full ChatGPT glossary and how to turn off Apple Intelligence.

#666;">المصدر: https://www.cnet.com/tech/services-and-software/how-to-spot-ai-hype-and-avoid-the-ai-con-according-to-two-experts/#ftag=CAD590a51e" style="color: #0066cc; text-decoration: none;">www.cnet.com

#0066cc;">#how #spot #hype #and #avoid #the #con #according #two #experts #quotartificial #intelligence #we039re #being #frank #bill #goods #you #are #sold #line #someone039s #pocketsquotthat #heart #argument #that #linguist #emily #bender #sociologist #alex #hannamake #their #new #bookthe #conit039s #useful #guide #for #anyone #whose #life #has #intersected #with #technologies #artificial #who039s #questioned #real #usefulness #which #most #usbender #professor #university #washington #who #was #named #one #time #magazine039s #influential #people #hanna #director #research #nonprofit #distributed #instituteand #former #member #ethical #team #googlethe #explosion #chatgpt #late #kicked #off #cycle #aihype #authors #define #quotaggrandizementquot #technology #convinced #need #buy #invest #quotlest #miss #out #entertainment #pleasure #monetary #reward #return #investment #market #sharequot #but #it039s #not #first #nor #likely #last #scholars #government #leaders #regular #have #been #intrigued #worried #idea #machine #learning #aibender #trace #roots #back #1950s #when #mathematician #john #mccarthy #coined #term #intelligenceit #era #united #states #looking #fund #projects #would #help #country #gain #any #kind #edge #soviets #militarily #ideologically #technologicallyquotit #didn039t #spring #whole #cloth #zeus039s #head #anythingthis #longer #historyquot #said #interview #cnetquotit039s #certainly #quote #unquote #aiquottoday039s #propelled #billions #dollars #venture #capital #into #startups #like #openai #tech #giants #meta #google #microsoft #pouring #developmentthe #result #clear #all #newest #phones #laptops #software #updates #drenched #aiwashingand #there #signs #development #will #slow #down #thanks #part #growing #motivation #beat #china #developmentnot #indeedof #course #generative #much #more #advanced #than #eliza #psychotherapy #chatbot #enraptured #scientists #1970stoday039s #business #workers #inundated #heavy #dose #fomo #seemingly #complex #often #misused #jargonlistening #enthusiasts #might #seem #take #your #job #save #company #moneybut #argue #neither #wholly #reason #why #important #recognize #break #through #hypeso #these #few #telltale #share #belowthe #outline #questions #ask #strategies #busting #book #now #uswatch #language #humanizes #aianthropomorphizing #process #giving #inanimate #object #humanlike #characteristics #qualities #big #building #hypean #example #this #can #found #companies #say #chatbots #quotseequot #quotthinkquotthese #comparisons #trying #describe #ability #objectidentifying #programs #deepreasoning #models #they #also #misleadingai #aren039t #capable #seeing #thinking #because #don039t #brainseven #neural #nets #noted #our #based #human #understanding #neurons #from #actually #work #fool #believing #there039s #brain #behind #machinethat #belief #something #predisposed #humans #languagewe039re #conditioned #imagine #mind #text #see #even #know #generated #saidquotwe #interpret #developing #model #minds #speaker #wasquot #addedin #use #knowledge #person #speaking #create #meaning #just #using #words #sayquotso #encounter #synthetic #extruded #going #same #thingquot #saidquotand #very #hard #remind #ourselves #isn039t #thereit039s #construct #producedquotthe #try #convince #products #sets #foreground #them #replace #whether #creatorsit039s #compelling #believe #could #silver #bullet #fix #complicated #problems #critical #industries #health #care #servicesbut #bring #used #anythingai #goal #efficiency #services #end #replacing #qualified #black #box #machines #copious #amounts #babysitting #underpaid #contract #gig #workersas #put #quotai #make #shittierquotbe #dubious #phrase #039super #intelligence039if #can039t #should #wary #claims #itquotsuperhuman #super #dangerous #turn #insofar #thinks #some #superfluousquot #saidin #quotcertain #domains #pattern #matching #scale #computers #quite #good #thatbut #superhuman #poem #notion #doing #science #hypequot #added #quotand #talk #about #airplanes #flyers #rulers #measurers #seems #only #space #comes #upquotthe #quotsuper #intelligencequot #general #intelligencemany #ceos #struggle #what #exactly #agi #essentially #ai039s #form #potentially #making #decisions #handling #tasksthere039s #still #evidence #anywhere #near #future #enabled #popularbuzzwordmany #futurelooking #statements #borrow #tropes #fictionboth #boosters #doomers #those #potential #harm #rely #scifi #scenariosthe #aipowered #futuristic #societythe #bemoan #where #robots #over #world #wipe #humanitythe #connecting #thread #unshakable #smarter #inevitablequotone #things #lot #discourse #fixed #question #fast #get #therequot #then #claim #particular #step #path #marketingit #helpful #able #itquotpart #popular #autonomous #functional #assistant #mean #fulfilling #promises #worldchanging #innovation #investorsplanning #utopia #dystopia #keeps #investors #forward #burn #admit #they039ll #carbon #emission #goalsfor #better #worse #fictionwhenever #someone #claiming #product #straight #movie #sign #approach #skepticism #goes #outputs #evaluatedone #easiest #ways #marketing #fluff #look #disclosing #operatesmany #won039t #tell #content #train #modelsbut #usually #disclose #does #data #sometimes #brag #stack #against #competitorsthat039s #start #typically #privacy #policiesone #top #complaints #concernsfrom #creators #trainedthere #many #lawsuits #alleged #copyright #infringement #concerns #bias #capacity #harmquotif #wanted #system #designed #move #rather #reproduce #oppressions #past #curating #dataquot #saidinstead #grabbing #quoteverything #wasn039t #nailed #internetquot #saidif #you039re #hearing #thing #statistic #highlights #its #effectivenesslike #other #researchers #called #finding #citation #red #flagquotanytime #selling #access #evaluated #thin #icequot #saidit #frustrating #disappointing #certain #information #were #developedbut #recognizing #holes #sales #pitch #deflate #though #informationfor #check #fullchatgpt #glossary #offapple

How to Spot AI Hype and Avoid The AI Con, According to Two Experts

"Artificial intelligence, if we're being frank, is a con: a bill of goods you are being sold to line someone's pockets."That is the heart of the argument that linguist Emily Bender and sociologist Alex Hanna make in their new book The AI Con. It's a useful guide for anyone whose life has intersected with technologies sold as artificial intelligence and anyone who's questioned their real usefulness, which is most of us. Bender is a professor at the University of Washington who was named one of Time magazine's most influential people in artificial intelligence, and Hanna is the director of research at the nonprofit Distributed AI Research Institute and a former member of the ethical AI team at Google.The explosion of ChatGPT in late 2022 kicked off a new hype cycle in AI. Hype, as the authors define it, is the "aggrandizement" of technology that you are convinced you need to buy or invest in "lest you miss out on entertainment or pleasure, monetary reward, return on investment, or market share." But it's not the first time, nor likely the last, that scholars, government leaders and regular people have been intrigued and worried by the idea of machine learning and AI.Bender and Hanna trace the roots of machine learning back to the 1950s, to when mathematician John McCarthy coined the term artificial intelligence. It was in an era when the United States was looking to fund projects that would help the country gain any kind of edge on the Soviets militarily, ideologically and technologically. "It didn't spring whole cloth out of Zeus's head or anything. This has a longer history," Hanna said in an interview with CNET. "It's certainly not the first hype cycle with, quote, unquote, AI."Today's hype cycle is propelled by the billions of dollars of venture capital investment into startups like OpenAI and the tech giants like Meta, Google and Microsoft pouring billions of dollars into AI research and development. The result is clear, with all the newest phones, laptops and software updates drenched in AI-washing. And there are no signs that AI research and development will slow down, thanks in part to a growing motivation to beat China in AI development. Not the first hype cycle indeed.Of course, generative AI in 2025 is much more advanced than the Eliza psychotherapy chatbot that first enraptured scientists in the 1970s. Today's business leaders and workers are inundated with hype, with a heavy dose of FOMO and seemingly complex but often misused jargon. Listening to tech leaders and AI enthusiasts, it might seem like AI will take your job to save your company money. But the authors argue that neither is wholly likely, which is one reason why it's important to recognize and break through the hype.So how do we recognize AI hype? These are a few telltale signs, according to Bender and Hanna, that we share below. The authors outline more questions to ask and strategies for AI hype busting in their book, which is out now in the US.Watch out for language that humanizes AIAnthropomorphizing, or the process of giving an inanimate object human-like characteristics or qualities, is a big part of building AI hype. An example of this kind of language can be found when AI companies say their chatbots can now "see" and "think."These can be useful comparisons when trying to describe the ability of new object-identifying AI programs or deep-reasoning AI models, but they can also be misleading. AI chatbots aren't capable of seeing of thinking because they don't have brains. Even the idea of neural nets, Hanna noted in our interview and in the book, is based on human understanding of neurons from the 1950s, not actually how neurons work, but it can fool us into believing there's a brain behind the machine.That belief is something we're predisposed to because of how we as humans process language. We're conditioned to imagine that there is a mind behind the text we see, even when we know it's generated by AI, Bender said. "We interpret language by developing a model in our minds of who the speaker was," Bender added.In these models, we use our knowledge of the person speaking to create meaning, not just using the meaning of the words they say. "So when we encounter synthetic text extruded from something like ChatGPT, we're going to do the same thing," Bender said. "And it is very hard to remind ourselves that the mind isn't there. It's just a construct that we have produced."The authors argue that part of why AI companies try to convince us their products are human-like is that this sets the foreground for them to convince us that AI can replace humans, whether it's at work or as creators. It's compelling for us to believe that AI could be the silver bullet fix to complicated problems in critical industries like health care and government services.But more often than not, the authors argue, AI isn't bring used to fix anything. AI is sold with the goal of efficiency, but AI services end up replacing qualified workers with black box machines that need copious amounts of babysitting from underpaid contract or gig workers. As Hanna put it in our interview, "AI is not going to take your job, but it will make your job shittier."Be dubious of the phrase 'super intelligence'If a human can't do something, you should be wary of claims that an AI can do it. "Superhuman intelligence, or super intelligence, is a very dangerous turn of phrase, insofar as it thinks that some technology is going to make humans superfluous," Hanna said. In "certain domains, like pattern matching at scale, computers are quite good at that. But if there's an idea that there's going to be a superhuman poem, or a superhuman notion of research or doing science, that is clear hype." Bender added, "And we don't talk about airplanes as superhuman flyers or rulers as superhuman measurers, it seems to be only in this AI space that that comes up."The idea of AI "super intelligence" comes up often when people talk about artificial general intelligence. Many CEOs struggle to define what exactly AGI is, but it's essentially AI's most advanced form, potentially capable of making decisions and handling complex tasks. There's still no evidence we're anywhere near a future enabled by AGI, but it's a popular buzzword.Many of these future-looking statements from AI leaders borrow tropes from science fiction. Both boosters and doomers — how Bender and Hanna describe AI enthusiasts and those worried about the potential for harm — rely on sci-fi scenarios. The boosters imagine an AI-powered futuristic society. The doomers bemoan a future where AI robots take over the world and wipe out humanity.The connecting thread, according to the authors, is an unshakable belief that AI is smarter than humans and inevitable. "One of the things that we see a lot in the discourse is this idea that the future is fixed, and it's just a question of how fast we get there," Bender said. "And then there's this claim that this particular technology is a step on that path, and it's all marketing. It is helpful to be able to see behind it."Part of why AI is so popular is that an autonomous functional AI assistant would mean AI companies are fulfilling their promises of world-changing innovation to their investors. Planning for that future — whether it's a utopia or dystopia — keeps investors looking forward as the companies burn through billions of dollars and admit they'll miss their carbon emission goals. For better or worse, life is not science fiction. Whenever you see someone claiming their AI product is straight out of a movie, it's a good sign to approach with skepticism. Ask what goes in and how outputs are evaluatedOne of the easiest ways to see through AI marketing fluff is to look and see whether the company is disclosing how it operates. Many AI companies won't tell you what content is used to train their models. But they usually disclose what the company does with your data and sometimes brag about how their models stack up against competitors. That's where you should start looking, typically in their privacy policies.One of the top complaints and concerns from creators is how AI models are trained. There are many lawsuits over alleged copyright infringement, and there are a lot of concerns over bias in AI chatbots and their capacity for harm. "If you wanted to create a system that is designed to move things forward rather than reproduce the oppressions of the past, you would have to start by curating your data," Bender said. Instead, AI companies are grabbing "everything that wasn't nailed down on the internet," Hanna said.If you're hearing about an AI product for the first time, one thing in particular to look out for is any kind of statistic that highlights its effectiveness. Like many other researchers, Bender and Hanna have called out that a finding with no citation is a red flag. "Anytime someone is selling you something but not giving you access to how it was evaluated, you are on thin ice," Bender said.It can be frustrating and disappointing when AI companies don't disclose certain information about how their AI products work and how they were developed. But recognizing those holes in their sales pitch can help deflate hype, even though it would be better to have the information. For more, check out our full ChatGPT glossary and how to turn off Apple Intelligence.

المصدر: www.cnet.com

#how #spot #hype #and #avoid #the #con #according #two #experts #quotartificial #intelligence #we039re #being #frank #bill #goods #you #are #sold #line #someone039s #pocketsquotthat #heart #argument #that #linguist #emily #bender #sociologist #alex #hannamake #their #new #bookthe #conit039s #useful #guide #for #anyone #whose #life #has #intersected #with #technologies #artificial #who039s #questioned #real #usefulness #which #most #usbender #professor #university #washington #who #was #named #one #time #magazine039s #influential #people #hanna #director #research #nonprofit #distributed #instituteand #former #member #ethical #team #googlethe #explosion #chatgpt #late #kicked #off #cycle #aihype #authors #define #quotaggrandizementquot #technology #convinced #need #buy #invest #quotlest #miss #out #entertainment #pleasure #monetary #reward #return #investment #market #sharequot #but #it039s #not #first #nor #likely #last #scholars #government #leaders #regular #have #been #intrigued #worried #idea #machine #learning #aibender #trace #roots #back #1950s #when #mathematician #john #mccarthy #coined #term #intelligenceit #era #united #states #looking #fund #projects #would #help #country #gain #any #kind #edge #soviets #militarily #ideologically #technologicallyquotit #didn039t #spring #whole #cloth #zeus039s #head #anythingthis #longer #historyquot #said #interview #cnetquotit039s #certainly #quote #unquote #aiquottoday039s #propelled #billions #dollars #venture #capital #into #startups #like #openai #tech #giants #meta #google #microsoft #pouring #developmentthe #result #clear #all #newest #phones #laptops #software #updates #drenched #aiwashingand #there #signs #development #will #slow #down #thanks #part #growing #motivation #beat #china #developmentnot #indeedof #course #generative #much #more #advanced #than #eliza #psychotherapy #chatbot #enraptured #scientists #1970stoday039s #business #workers #inundated #heavy #dose #fomo #seemingly #complex #often #misused #jargonlistening #enthusiasts #might #seem #take #your #job #save #company #moneybut #argue #neither #wholly #reason #why #important #recognize #break #through #hypeso #these #few #telltale #share #belowthe #outline #questions #ask #strategies #busting #book #now #uswatch #language #humanizes #aianthropomorphizing #process #giving #inanimate #object #humanlike #characteristics #qualities #big #building #hypean #example #this #can #found #companies #say #chatbots #quotseequot #quotthinkquotthese #comparisons #trying #describe #ability #objectidentifying #programs #deepreasoning #models #they #also #misleadingai #aren039t #capable #seeing #thinking #because #don039t #brainseven #neural #nets #noted #our #based #human #understanding #neurons #from #actually #work #fool #believing #there039s #brain #behind #machinethat #belief #something #predisposed #humans #languagewe039re #conditioned #imagine #mind #text #see #even #know #generated #saidquotwe #interpret #developing #model #minds #speaker #wasquot #addedin #use #knowledge #person #speaking #create #meaning #just #using #words #sayquotso #encounter #synthetic #extruded #going #same #thingquot #saidquotand #very #hard #remind #ourselves #isn039t #thereit039s #construct #producedquotthe #try #convince #products #sets #foreground #them #replace #whether #creatorsit039s #compelling #believe #could #silver #bullet #fix #complicated #problems #critical #industries #health #care #servicesbut #bring #used #anythingai #goal #efficiency #services #end #replacing #qualified #black #box #machines #copious #amounts #babysitting #underpaid #contract #gig #workersas #put #quotai #make #shittierquotbe #dubious #phrase #039super #intelligence039if #can039t #should #wary #claims #itquotsuperhuman #super #dangerous #turn #insofar #thinks #some #superfluousquot #saidin #quotcertain #domains #pattern #matching #scale #computers #quite #good #thatbut #superhuman #poem #notion #doing #science #hypequot #added #quotand #talk #about #airplanes #flyers #rulers #measurers #seems #only #space #comes #upquotthe #quotsuper #intelligencequot #general #intelligencemany #ceos #struggle #what #exactly #agi #essentially #ai039s #form #potentially #making #decisions #handling #tasksthere039s #still #evidence #anywhere #near #future #enabled #popularbuzzwordmany #futurelooking #statements #borrow #tropes #fictionboth #boosters #doomers #those #potential #harm #rely #scifi #scenariosthe #aipowered #futuristic #societythe #bemoan #where #robots #over #world #wipe #humanitythe #connecting #thread #unshakable #smarter #inevitablequotone #things #lot #discourse #fixed #question #fast #get #therequot #then #claim #particular #step #path #marketingit #helpful #able #itquotpart #popular #autonomous #functional #assistant #mean #fulfilling #promises #worldchanging #innovation #investorsplanning #utopia #dystopia #keeps #investors #forward #burn #admit #they039ll #carbon #emission #goalsfor #better #worse #fictionwhenever #someone #claiming #product #straight #movie #sign #approach #skepticism #goes #outputs #evaluatedone #easiest #ways #marketing #fluff #look #disclosing #operatesmany #won039t #tell #content #train #modelsbut #usually #disclose #does #data #sometimes #brag #stack #against #competitorsthat039s #start #typically #privacy #policiesone #top #complaints #concernsfrom #creators #trainedthere #many #lawsuits #alleged #copyright #infringement #concerns #bias #capacity #harmquotif #wanted #system #designed #move #rather #reproduce #oppressions #past #curating #dataquot #saidinstead #grabbing #quoteverything #wasn039t #nailed #internetquot #saidif #you039re #hearing #thing #statistic #highlights #its #effectivenesslike #other #researchers #called #finding #citation #red #flagquotanytime #selling #access #evaluated #thin #icequot #saidit #frustrating #disappointing #certain #information #were #developedbut #recognizing #holes #sales #pitch #deflate #though #informationfor #check #fullchatgpt #glossary #offapple

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How to Spot AI Hype and Avoid The AI Con, According to Two Experts

"Artificial intelligence, if we're being frank, is a con: a bill of goods you are being sold to line someone's pockets."That is the heart of the argument that linguist Emily Bender and sociologist Alex Hanna make in their new book The AI Con. It's a useful guide for anyone whose life has intersected with technologies sold as artificial intelligence and anyone who's questioned their real usefulness, which is most of us. Bender is a professor at the University of Washington who was named one of Time magazine's most influential people in artificial intelligence, and Hanna is the director of research at the nonprofit Distributed AI Research Institute and a former member of the ethical AI team at Google.The explosion of ChatGPT in late 2022 kicked off a new hype cycle in AI. Hype, as the authors define it, is the "aggrandizement" of technology that you are convinced you need to buy or invest in "lest you miss out on entertainment or pleasure, monetary reward, return on investment, or market share." But it's not the first time, nor likely the last, that scholars, government leaders and regular people have been intrigued and worried by the idea of machine learning and AI.Bender and Hanna trace the roots of machine learning back to the 1950s, to when mathematician John McCarthy coined the term artificial intelligence. It was in an era when the United States was looking to fund projects that would help the country gain any kind of edge on the Soviets militarily, ideologically and technologically. "It didn't spring whole cloth out of Zeus's head or anything. This has a longer history," Hanna said in an interview with CNET. "It's certainly not the first hype cycle with, quote, unquote, AI."Today's hype cycle is propelled by the billions of dollars of venture capital investment into startups like OpenAI and the tech giants like Meta, Google and Microsoft pouring billions of dollars into AI research and development. The result is clear, with all the newest phones, laptops and software updates drenched in AI-washing. And there are no signs that AI research and development will slow down, thanks in part to a growing motivation to beat China in AI development. Not the first hype cycle indeed.Of course, generative AI in 2025 is much more advanced than the Eliza psychotherapy chatbot that first enraptured scientists in the 1970s. Today's business leaders and workers are inundated with hype, with a heavy dose of FOMO and seemingly complex but often misused jargon. Listening to tech leaders and AI enthusiasts, it might seem like AI will take your job to save your company money. But the authors argue that neither is wholly likely, which is one reason why it's important to recognize and break through the hype.So how do we recognize AI hype? These are a few telltale signs, according to Bender and Hanna, that we share below. The authors outline more questions to ask and strategies for AI hype busting in their book, which is out now in the US.Watch out for language that humanizes AIAnthropomorphizing, or the process of giving an inanimate object human-like characteristics or qualities, is a big part of building AI hype. An example of this kind of language can be found when AI companies say their chatbots can now "see" and "think."These can be useful comparisons when trying to describe the ability of new object-identifying AI programs or deep-reasoning AI models, but they can also be misleading. AI chatbots aren't capable of seeing of thinking because they don't have brains. Even the idea of neural nets, Hanna noted in our interview and in the book, is based on human understanding of neurons from the 1950s, not actually how neurons work, but it can fool us into believing there's a brain behind the machine.That belief is something we're predisposed to because of how we as humans process language. We're conditioned to imagine that there is a mind behind the text we see, even when we know it's generated by AI, Bender said. "We interpret language by developing a model in our minds of who the speaker was," Bender added.In these models, we use our knowledge of the person speaking to create meaning, not just using the meaning of the words they say. "So when we encounter synthetic text extruded from something like ChatGPT, we're going to do the same thing," Bender said. "And it is very hard to remind ourselves that the mind isn't there. It's just a construct that we have produced."The authors argue that part of why AI companies try to convince us their products are human-like is that this sets the foreground for them to convince us that AI can replace humans, whether it's at work or as creators. It's compelling for us to believe that AI could be the silver bullet fix to complicated problems in critical industries like health care and government services.But more often than not, the authors argue, AI isn't bring used to fix anything. AI is sold with the goal of efficiency, but AI services end up replacing qualified workers with black box machines that need copious amounts of babysitting from underpaid contract or gig workers. As Hanna put it in our interview, "AI is not going to take your job, but it will make your job shittier."Be dubious of the phrase 'super intelligence'If a human can't do something, you should be wary of claims that an AI can do it. "Superhuman intelligence, or super intelligence, is a very dangerous turn of phrase, insofar as it thinks that some technology is going to make humans superfluous," Hanna said. In "certain domains, like pattern matching at scale, computers are quite good at that. But if there's an idea that there's going to be a superhuman poem, or a superhuman notion of research or doing science, that is clear hype." Bender added, "And we don't talk about airplanes as superhuman flyers or rulers as superhuman measurers, it seems to be only in this AI space that that comes up."The idea of AI "super intelligence" comes up often when people talk about artificial general intelligence. Many CEOs struggle to define what exactly AGI is, but it's essentially AI's most advanced form, potentially capable of making decisions and handling complex tasks. There's still no evidence we're anywhere near a future enabled by AGI, but it's a popular buzzword.Many of these future-looking statements from AI leaders borrow tropes from science fiction. Both boosters and doomers — how Bender and Hanna describe AI enthusiasts and those worried about the potential for harm — rely on sci-fi scenarios. The boosters imagine an AI-powered futuristic society. The doomers bemoan a future where AI robots take over the world and wipe out humanity.The connecting thread, according to the authors, is an unshakable belief that AI is smarter than humans and inevitable. "One of the things that we see a lot in the discourse is this idea that the future is fixed, and it's just a question of how fast we get there," Bender said. "And then there's this claim that this particular technology is a step on that path, and it's all marketing. It is helpful to be able to see behind it."Part of why AI is so popular is that an autonomous functional AI assistant would mean AI companies are fulfilling their promises of world-changing innovation to their investors. Planning for that future — whether it's a utopia or dystopia — keeps investors looking forward as the companies burn through billions of dollars and admit they'll miss their carbon emission goals. For better or worse, life is not science fiction. Whenever you see someone claiming their AI product is straight out of a movie, it's a good sign to approach with skepticism. Ask what goes in and how outputs are evaluatedOne of the easiest ways to see through AI marketing fluff is to look and see whether the company is disclosing how it operates. Many AI companies won't tell you what content is used to train their models. But they usually disclose what the company does with your data and sometimes brag about how their models stack up against competitors. That's where you should start looking, typically in their privacy policies.One of the top complaints and concerns from creators is how AI models are trained. There are many lawsuits over alleged copyright infringement, and there are a lot of concerns over bias in AI chatbots and their capacity for harm. "If you wanted to create a system that is designed to move things forward rather than reproduce the oppressions of the past, you would have to start by curating your data," Bender said. Instead, AI companies are grabbing "everything that wasn't nailed down on the internet," Hanna said.If you're hearing about an AI product for the first time, one thing in particular to look out for is any kind of statistic that highlights its effectiveness. Like many other researchers, Bender and Hanna have called out that a finding with no citation is a red flag. "Anytime someone is selling you something but not giving you access to how it was evaluated, you are on thin ice," Bender said.It can be frustrating and disappointing when AI companies don't disclose certain information about how their AI products work and how they were developed. But recognizing those holes in their sales pitch can help deflate hype, even though it would be better to have the information. For more, check out our full ChatGPT glossary and how to turn off Apple Intelligence.

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