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2025-05-24 13:02:12 ·

Something remarkable is happening with violent crime rates in the US

The astounding drop in violent crime that began in the 1990s and extended through the mid-2010s is one of the most important — and most underappreciated — good news stories of recent memory. That made its reversal during the pandemic so worrying.In the first full year of the pandemic, the FBI tallied 22,134 murders nationwide, up from 16,669 in 2019 — an increase of roughly 34 percent, the sharpest one-year rise in modern crime record-keeping. In 2021, Philadelphia alone recorded a record 562 homicides, while Baltimore experienced a near-record 337 murders. Between 2019 and 2020, the average number of weekly emergency department visits for gunshots increased by 37 percent, and largely stayed high through the following year. By the 2024 election, for the first time in awhile, violent crime was a major political issue in the US. A Pew survey that year found that 58 percent of Americans believed crime should be a top priority for the president and Congress, up from 47 percent in 2021. And yet even as the presidential campaign was unfolding, the violent crime spike of the pandemic had already subsided — and crime rates have kept dropping. The FBI’s 2023 crime report found that murder was down nearly 12 percent year over year, and in 2024 it kept falling to roughly 16,700 murders, on par with pre-pandemic levels. The early numbers for 2025 are so promising that Jeff Asher, one of the best independent analysts on crime, recently asked in a piece whether this year could have the lowest murder rate in US history.All of which raises two questions: What’s driving a decrease in crime every bit as sharp as the pandemic-era increase? And why do so many of us find it so hard to believe?The crime wave crashesWe shouldn’t jump to conclusions about this year’s crime rates based on the early data, especially since we’re just now beginning the summer, when violent crime almost always rises. Crime data in the US is also patchy and slow — I can tell you how many soybeans the US raised in March, but I can’t tell you how many people have been murdered in the US this year. But what we can tell looks very good. The Real-Time Crime Index, an academic project that collects crime data from more than 380 police agencies covering nearly 100 million people, estimates there were 1,488 murders in the US this year through March, compared to an estimated 1,899 over the same months last year. That’s a decrease of nearly 22 percent. Violent crime overall is down by about 11 percent. Motor vehicle theft, which became an epidemic during the pandemic, is down by over 26 percent. Peer down to the local level, and the picture just keeps getting better. In Baltimore, which The Wire made synonymous with violent, drug-related crime, homicides fell to 199 last year, its best showing in over a decade. As of early May, the city had 45 murders, down another third from the same period last year. City emergency rooms that were once full of gunshot victims have gone quiet.How much lower could it go nationally? The record low homicide rate, at least since national records started being kept in 1960, is 4.45 per 100,000 in 2014. So far this year, according to Asher, murder is down in 25 of the 30 cities that reported the most murders in 2023. Asher argues that if the numbers hold, “a 10 percent or more decline in murder nationally in 2025 would roughly tie 2014 for the lowest murder rate ever recorded.”What’s behind the drop?In short: The pandemic led to a huge increase in violent crime, and as the pandemic waned, so did the wave.The closure of schools during the pandemic, especially in already higher-crime cities in the Northeast, meant far more young men — who are statistically more likely to be either perpetrators of violent crime or victims of it — on the streets. The closure of social services left fewer resources for them to draw on; and the sheer stress of a once-in-a-lifetime health catastrophe set everyone on edge. The murder of George Floyd in spring 2020 led to a collapse in community trust in policing, which in turn seemed to lead to less aggressive policing altogether. As the pandemic eased, though, those buffers came back, providing a natural brake on violent crime.But the government, from the national level down to cities, also took direct actions to stem the flood of violence. The White House under President Joe Biden poured hundreds of millions of dollars into community violence interruption programs, which aim to break the cycle of retribution that can lead to homicide. Baltimore’s Group Violence Reduction Strategy has brought together community groups and law enforcement to deter the people considered most likely to get involved in gun violence. And the erosion in police forces nationwide that occurred during the pandemic has largely stopped. The situation is far from perfect. Even though Floyd’s murder triggered a nationwide reckoning around police violence, recent data shows that police killings kept increasing, in part because fear of crime often stopped momentum around reforms. Here in New York, even as overall crime on the subways has fallen to historical lows, felony assaults on the trains have kept rising, fueling fears of lawlessness. Why can’t we believe it?As Memorial Day weekend marks the start of summer, the next few months will tell whether the pandemic was truly just a blip in the long-term reduction in violent crime. But what we can say is most people don’t seem to notice the positive trends. An October 2024 poll by Gallup found that 64 percent of Americans believed there was more crime nationwide than the year before, even though by that time in 2024, the post-pandemic crime drop was well under way. But such results aren’t surprising. One of the most reliable results in polling is that if you ask Americans whether crime is rising, they’ll say yes. Astonishingly, in 23 of 27 national surveys done by Gallup since 1993, Americans reported that they thought crime nationwide was rising — even though most of those surveys were done during the long crime decline. Crime is one of the best examples we have of bad news bias. By definition, a murder is an outlier event that grabs our attention, inevitably leading the nightly local news. Sometimes, as during the pandemic, that bias can match reality. But if we fail to adjust to what is actually happening around us — not just what we think is happening — it won’t just make us think our cities are more dangerous than they really are. It’ll sap energy for the reforms that can really make a difference. A version of this story originally appeared in the Good News newsletter. Sign up here!You’ve read 1 article in the last monthHere at Vox, we're unwavering in our commitment to covering the issues that matter most to you — threats to democracy, immigration, reproductive rights, the environment, and the rising polarization across this country.Our mission is to provide clear, accessible journalism that empowers you to stay informed and engaged in shaping our world. By becoming a Vox Member, you directly strengthen our ability to deliver in-depth, independent reporting that drives meaningful change.We rely on readers like you — join us.Swati SharmaVox Editor-in-ChiefSee More:
#something #remarkable #happening #with #violent

Something remarkable is happening with violent crime rates in the US
The astounding drop in violent crime that began in the 1990s and extended through the mid-2010s is one of the most important — and most underappreciated — good news stories of recent memory. That made its reversal during the pandemic so worrying.In the first full year of the pandemic, the FBI tallied 22,134 murders nationwide, up from 16,669 in 2019 — an increase of roughly 34 percent, the sharpest one-year rise in modern crime record-keeping. In 2021, Philadelphia alone recorded a record 562 homicides, while Baltimore experienced a near-record 337 murders. Between 2019 and 2020, the average number of weekly emergency department visits for gunshots increased by 37 percent, and largely stayed high through the following year. By the 2024 election, for the first time in awhile, violent crime was a major political issue in the US. A Pew survey that year found that 58 percent of Americans believed crime should be a top priority for the president and Congress, up from 47 percent in 2021. And yet even as the presidential campaign was unfolding, the violent crime spike of the pandemic had already subsided — and crime rates have kept dropping. The FBI’s 2023 crime report found that murder was down nearly 12 percent year over year, and in 2024 it kept falling to roughly 16,700 murders, on par with pre-pandemic levels. The early numbers for 2025 are so promising that Jeff Asher, one of the best independent analysts on crime, recently asked in a piece whether this year could have the lowest murder rate in US history.All of which raises two questions: What’s driving a decrease in crime every bit as sharp as the pandemic-era increase? And why do so many of us find it so hard to believe?The crime wave crashesWe shouldn’t jump to conclusions about this year’s crime rates based on the early data, especially since we’re just now beginning the summer, when violent crime almost always rises. Crime data in the US is also patchy and slow — I can tell you how many soybeans the US raised in March, but I can’t tell you how many people have been murdered in the US this year. But what we can tell looks very good. The Real-Time Crime Index, an academic project that collects crime data from more than 380 police agencies covering nearly 100 million people, estimates there were 1,488 murders in the US this year through March, compared to an estimated 1,899 over the same months last year. That’s a decrease of nearly 22 percent. Violent crime overall is down by about 11 percent. Motor vehicle theft, which became an epidemic during the pandemic, is down by over 26 percent. Peer down to the local level, and the picture just keeps getting better. In Baltimore, which The Wire made synonymous with violent, drug-related crime, homicides fell to 199 last year, its best showing in over a decade. As of early May, the city had 45 murders, down another third from the same period last year. City emergency rooms that were once full of gunshot victims have gone quiet.How much lower could it go nationally? The record low homicide rate, at least since national records started being kept in 1960, is 4.45 per 100,000 in 2014. So far this year, according to Asher, murder is down in 25 of the 30 cities that reported the most murders in 2023. Asher argues that if the numbers hold, “a 10 percent or more decline in murder nationally in 2025 would roughly tie 2014 for the lowest murder rate ever recorded.”What’s behind the drop?In short: The pandemic led to a huge increase in violent crime, and as the pandemic waned, so did the wave.The closure of schools during the pandemic, especially in already higher-crime cities in the Northeast, meant far more young men — who are statistically more likely to be either perpetrators of violent crime or victims of it — on the streets. The closure of social services left fewer resources for them to draw on; and the sheer stress of a once-in-a-lifetime health catastrophe set everyone on edge. The murder of George Floyd in spring 2020 led to a collapse in community trust in policing, which in turn seemed to lead to less aggressive policing altogether. As the pandemic eased, though, those buffers came back, providing a natural brake on violent crime.But the government, from the national level down to cities, also took direct actions to stem the flood of violence. The White House under President Joe Biden poured hundreds of millions of dollars into community violence interruption programs, which aim to break the cycle of retribution that can lead to homicide. Baltimore’s Group Violence Reduction Strategy has brought together community groups and law enforcement to deter the people considered most likely to get involved in gun violence. And the erosion in police forces nationwide that occurred during the pandemic has largely stopped. The situation is far from perfect. Even though Floyd’s murder triggered a nationwide reckoning around police violence, recent data shows that police killings kept increasing, in part because fear of crime often stopped momentum around reforms. Here in New York, even as overall crime on the subways has fallen to historical lows, felony assaults on the trains have kept rising, fueling fears of lawlessness. Why can’t we believe it?As Memorial Day weekend marks the start of summer, the next few months will tell whether the pandemic was truly just a blip in the long-term reduction in violent crime. But what we can say is most people don’t seem to notice the positive trends. An October 2024 poll by Gallup found that 64 percent of Americans believed there was more crime nationwide than the year before, even though by that time in 2024, the post-pandemic crime drop was well under way. But such results aren’t surprising. One of the most reliable results in polling is that if you ask Americans whether crime is rising, they’ll say yes. Astonishingly, in 23 of 27 national surveys done by Gallup since 1993, Americans reported that they thought crime nationwide was rising — even though most of those surveys were done during the long crime decline. Crime is one of the best examples we have of bad news bias. By definition, a murder is an outlier event that grabs our attention, inevitably leading the nightly local news. Sometimes, as during the pandemic, that bias can match reality. But if we fail to adjust to what is actually happening around us — not just what we think is happening — it won’t just make us think our cities are more dangerous than they really are. It’ll sap energy for the reforms that can really make a difference. A version of this story originally appeared in the Good News newsletter. Sign up here!You’ve read 1 article in the last monthHere at Vox, we're unwavering in our commitment to covering the issues that matter most to you — threats to democracy, immigration, reproductive rights, the environment, and the rising polarization across this country.Our mission is to provide clear, accessible journalism that empowers you to stay informed and engaged in shaping our world. By becoming a Vox Member, you directly strengthen our ability to deliver in-depth, independent reporting that drives meaningful change.We rely on readers like you — join us.Swati SharmaVox Editor-in-ChiefSee More: #something #remarkable #happening #with #violent

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Something remarkable is happening with violent crime rates in the US

The astounding drop in violent crime that began in the 1990s and extended through the mid-2010s is one of the most important — and most underappreciated — good news stories of recent memory. That made its reversal during the pandemic so worrying.In the first full year of the pandemic, the FBI tallied 22,134 murders nationwide, up from 16,669 in 2019 — an increase of roughly 34 percent, the sharpest one-year rise in modern crime record-keeping. In 2021, Philadelphia alone recorded a record 562 homicides, while Baltimore experienced a near-record 337 murders. Between 2019 and 2020, the average number of weekly emergency department visits for gunshots increased by 37 percent, and largely stayed high through the following year. By the 2024 election, for the first time in awhile, violent crime was a major political issue in the US. A Pew survey that year found that 58 percent of Americans believed crime should be a top priority for the president and Congress, up from 47 percent in 2021. And yet even as the presidential campaign was unfolding, the violent crime spike of the pandemic had already subsided — and crime rates have kept dropping. The FBI’s 2023 crime report found that murder was down nearly 12 percent year over year, and in 2024 it kept falling to roughly 16,700 murders, on par with pre-pandemic levels. The early numbers for 2025 are so promising that Jeff Asher, one of the best independent analysts on crime, recently asked in a piece whether this year could have the lowest murder rate in US history.All of which raises two questions: What’s driving a decrease in crime every bit as sharp as the pandemic-era increase? And why do so many of us find it so hard to believe?The crime wave crashesWe shouldn’t jump to conclusions about this year’s crime rates based on the early data, especially since we’re just now beginning the summer, when violent crime almost always rises. Crime data in the US is also patchy and slow — I can tell you how many soybeans the US raised in March, but I can’t tell you how many people have been murdered in the US this year. But what we can tell looks very good. The Real-Time Crime Index, an academic project that collects crime data from more than 380 police agencies covering nearly 100 million people, estimates there were 1,488 murders in the US this year through March, compared to an estimated 1,899 over the same months last year. That’s a decrease of nearly 22 percent. Violent crime overall is down by about 11 percent. Motor vehicle theft, which became an epidemic during the pandemic, is down by over 26 percent. Peer down to the local level, and the picture just keeps getting better. In Baltimore, which The Wire made synonymous with violent, drug-related crime, homicides fell to 199 last year, its best showing in over a decade. As of early May, the city had 45 murders, down another third from the same period last year. City emergency rooms that were once full of gunshot victims have gone quiet.How much lower could it go nationally? The record low homicide rate, at least since national records started being kept in 1960, is 4.45 per 100,000 in 2014. So far this year, according to Asher, murder is down in 25 of the 30 cities that reported the most murders in 2023. Asher argues that if the numbers hold, “a 10 percent or more decline in murder nationally in 2025 would roughly tie 2014 for the lowest murder rate ever recorded.”What’s behind the drop?In short: The pandemic led to a huge increase in violent crime, and as the pandemic waned, so did the wave.The closure of schools during the pandemic, especially in already higher-crime cities in the Northeast, meant far more young men — who are statistically more likely to be either perpetrators of violent crime or victims of it — on the streets. The closure of social services left fewer resources for them to draw on; and the sheer stress of a once-in-a-lifetime health catastrophe set everyone on edge. The murder of George Floyd in spring 2020 led to a collapse in community trust in policing, which in turn seemed to lead to less aggressive policing altogether. As the pandemic eased, though, those buffers came back, providing a natural brake on violent crime.But the government, from the national level down to cities, also took direct actions to stem the flood of violence. The White House under President Joe Biden poured hundreds of millions of dollars into community violence interruption programs, which aim to break the cycle of retribution that can lead to homicide. Baltimore’s Group Violence Reduction Strategy has brought together community groups and law enforcement to deter the people considered most likely to get involved in gun violence. And the erosion in police forces nationwide that occurred during the pandemic has largely stopped. The situation is far from perfect. Even though Floyd’s murder triggered a nationwide reckoning around police violence, recent data shows that police killings kept increasing, in part because fear of crime often stopped momentum around reforms. Here in New York, even as overall crime on the subways has fallen to historical lows, felony assaults on the trains have kept rising, fueling fears of lawlessness. Why can’t we believe it?As Memorial Day weekend marks the start of summer, the next few months will tell whether the pandemic was truly just a blip in the long-term reduction in violent crime. But what we can say is most people don’t seem to notice the positive trends. An October 2024 poll by Gallup found that 64 percent of Americans believed there was more crime nationwide than the year before, even though by that time in 2024, the post-pandemic crime drop was well under way. But such results aren’t surprising. One of the most reliable results in polling is that if you ask Americans whether crime is rising, they’ll say yes. Astonishingly, in 23 of 27 national surveys done by Gallup since 1993, Americans reported that they thought crime nationwide was rising — even though most of those surveys were done during the long crime decline. Crime is one of the best examples we have of bad news bias. By definition, a murder is an outlier event that grabs our attention, inevitably leading the nightly local news. Sometimes, as during the pandemic, that bias can match reality. But if we fail to adjust to what is actually happening around us — not just what we think is happening — it won’t just make us think our cities are more dangerous than they really are. It’ll sap energy for the reforms that can really make a difference. A version of this story originally appeared in the Good News newsletter. Sign up here!You’ve read 1 article in the last monthHere at Vox, we're unwavering in our commitment to covering the issues that matter most to you — threats to democracy, immigration, reproductive rights, the environment, and the rising polarization across this country.Our mission is to provide clear, accessible journalism that empowers you to stay informed and engaged in shaping our world. By becoming a Vox Member, you directly strengthen our ability to deliver in-depth, independent reporting that drives meaningful change.We rely on readers like you — join us.Swati SharmaVox Editor-in-ChiefSee More:

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TechSpot Compartió un vínculo

2025-05-24 12:59:50 ·

AMD defends 8GB VRAM on GPUs... by admitting they are primarily for esports

A hot potato: Although Nvidia has caught the most flak for continuing to sell mid-range + graphics cards with just 8GB of VRAM, AMD has also persisted with this approach in the budget-performance segment. Although independent benchmark data reveals the ongoing quality and performance sacrifices associated with smaller VRAM pools, Team Red continues to defend its lower-tier products with statements that, while technically accurate, obscure the true value propositions of modern GPUs.
AMD's Frank Azor recently defended the company's decision to sell an 8GB variant of the Radeon RX 9060 XT amid growing criticism of mid-range and mainstream graphics cards featuring limited VRAM. While Nvidia is more frequently guilty of this trend and AMD cards often offer more memory, the most affordable and popular products from both companies suffer from the same issue.
Following a Computex unveiling of the RX 9060 XT, which offers 8GB and 16GB configurations, Azor responded to a question regarding the cheaper version by claiming 8GB of VRAM is sufficient for 1080p, the most popular PC gaming resolution.
Our reviews of similar GPUs like Nvidia's RTX 5060 Ti 8GB and 5060 reveal that, while this is true, low VRAM significantly handicaps cards compared to similar hardware with more memory.
While virtually any title in 2025 is playable with 8GB of VRAM at the right graphics settings, the size of the VRAM pool can still significantly impact the user experience. Comparing the 8GB and 16GB versions of the RTX 5060 Ti reveals that while average frame rates are often similar, running out of memory can dramatically worsen one-percent lows, leading to noticeable stuttering. Some games perform worse overall on the 8GB model, and others – like Indiana Jones and the Great Circle – crash at settings where the 16GB GPU runs smoothly.
// Related Stories

Warhammer 40,000: Space Marine 2 highlights a different issue. Both cards deliver nearly identical frame rates at ultra settings with the 4K texture pack enabled, but the 8GB version struggles to render high-resolution textures.
In another benchmark, the 8GB RTX 5060 Ti even falls behind Intel's Arc B580 – a 12GB card that costs over less and targets a lower performance tier. These issues can arise even at 1080p, a resolution still used by 55% of surveyed Steam users.
Azor also noted that the mainstream GPU market is aimed largely at esports players, who likely represent the largest segment of users. Steam's most popular games – esports titles like Counter-Strike 2, Marvel Rivals, Dota 2, and Apex Legends – can still achieve high frame rates on 8GB cards.
Related reading: 4GB vs. 8GB: How Have VRAM Requirements Evolved?

However, as GPUs become more expensive, many users are turning to budget hardware for playing demanding AAA titles, which benchmarks show they can handle surprisingly well. With sufficient VRAM and upscaling technology, mainstream GPUs are perfectly capable of 4K gaming.
Nvidia's approach to reviews of 8GB GPUs also suggests manufacturers are aware of the shortcomings. The company withheld 8GB RTX 5060 Ti review units from independent outlets and restricted access to RTX 5060 drivers for reviewers unwilling to benchmark the card under favorable conditions.
One such condition was enabling quadruple frame generation, a feature that distorts raw performance metrics and consumes additional VRAM. Meanwhile, ray tracing – a feature Nvidia frequently markets as a core benefit – is notably memory-intensive.
AMD's first 8GB card, the Radeon RX 480, launched nearly nine years ago at It's remarkable that manufacturers still sell GPUs with the same VRAM capacity for over Outside of esports, these products are likely to age poorly, especially if next-generation consoles, which are expected to feature more than 20GB of memory, launch within these cards' life spans.

How much VRAM do you have?
#amd #defends #8gb #vram #gpus

AMD defends 8GB VRAM on GPUs... by admitting they are primarily for esports
A hot potato: Although Nvidia has caught the most flak for continuing to sell mid-range + graphics cards with just 8GB of VRAM, AMD has also persisted with this approach in the budget-performance segment. Although independent benchmark data reveals the ongoing quality and performance sacrifices associated with smaller VRAM pools, Team Red continues to defend its lower-tier products with statements that, while technically accurate, obscure the true value propositions of modern GPUs. AMD's Frank Azor recently defended the company's decision to sell an 8GB variant of the Radeon RX 9060 XT amid growing criticism of mid-range and mainstream graphics cards featuring limited VRAM. While Nvidia is more frequently guilty of this trend and AMD cards often offer more memory, the most affordable and popular products from both companies suffer from the same issue. Following a Computex unveiling of the RX 9060 XT, which offers 8GB and 16GB configurations, Azor responded to a question regarding the cheaper version by claiming 8GB of VRAM is sufficient for 1080p, the most popular PC gaming resolution. Our reviews of similar GPUs like Nvidia's RTX 5060 Ti 8GB and 5060 reveal that, while this is true, low VRAM significantly handicaps cards compared to similar hardware with more memory. While virtually any title in 2025 is playable with 8GB of VRAM at the right graphics settings, the size of the VRAM pool can still significantly impact the user experience. Comparing the 8GB and 16GB versions of the RTX 5060 Ti reveals that while average frame rates are often similar, running out of memory can dramatically worsen one-percent lows, leading to noticeable stuttering. Some games perform worse overall on the 8GB model, and others – like Indiana Jones and the Great Circle – crash at settings where the 16GB GPU runs smoothly. // Related Stories Warhammer 40,000: Space Marine 2 highlights a different issue. Both cards deliver nearly identical frame rates at ultra settings with the 4K texture pack enabled, but the 8GB version struggles to render high-resolution textures. In another benchmark, the 8GB RTX 5060 Ti even falls behind Intel's Arc B580 – a 12GB card that costs over less and targets a lower performance tier. These issues can arise even at 1080p, a resolution still used by 55% of surveyed Steam users. Azor also noted that the mainstream GPU market is aimed largely at esports players, who likely represent the largest segment of users. Steam's most popular games – esports titles like Counter-Strike 2, Marvel Rivals, Dota 2, and Apex Legends – can still achieve high frame rates on 8GB cards. Related reading: 4GB vs. 8GB: How Have VRAM Requirements Evolved? However, as GPUs become more expensive, many users are turning to budget hardware for playing demanding AAA titles, which benchmarks show they can handle surprisingly well. With sufficient VRAM and upscaling technology, mainstream GPUs are perfectly capable of 4K gaming. Nvidia's approach to reviews of 8GB GPUs also suggests manufacturers are aware of the shortcomings. The company withheld 8GB RTX 5060 Ti review units from independent outlets and restricted access to RTX 5060 drivers for reviewers unwilling to benchmark the card under favorable conditions. One such condition was enabling quadruple frame generation, a feature that distorts raw performance metrics and consumes additional VRAM. Meanwhile, ray tracing – a feature Nvidia frequently markets as a core benefit – is notably memory-intensive. AMD's first 8GB card, the Radeon RX 480, launched nearly nine years ago at It's remarkable that manufacturers still sell GPUs with the same VRAM capacity for over Outside of esports, these products are likely to age poorly, especially if next-generation consoles, which are expected to feature more than 20GB of memory, launch within these cards' life spans. How much VRAM do you have? #amd #defends #8gb #vram #gpus

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AMD defends 8GB VRAM on GPUs... by admitting they are primarily for esports

A hot potato: Although Nvidia has caught the most flak for continuing to sell mid-range $400+ graphics cards with just 8GB of VRAM, AMD has also persisted with this approach in the budget-performance segment. Although independent benchmark data reveals the ongoing quality and performance sacrifices associated with smaller VRAM pools, Team Red continues to defend its lower-tier products with statements that, while technically accurate, obscure the true value propositions of modern GPUs. AMD's Frank Azor recently defended the company's decision to sell an 8GB variant of the Radeon RX 9060 XT amid growing criticism of mid-range and mainstream graphics cards featuring limited VRAM. While Nvidia is more frequently guilty of this trend and AMD cards often offer more memory, the most affordable and popular products from both companies suffer from the same issue. Following a Computex unveiling of the RX 9060 XT, which offers 8GB and 16GB configurations, Azor responded to a question regarding the cheaper version by claiming 8GB of VRAM is sufficient for 1080p, the most popular PC gaming resolution. Our reviews of similar GPUs like Nvidia's RTX 5060 Ti 8GB and 5060 reveal that, while this is true, low VRAM significantly handicaps cards compared to similar hardware with more memory. While virtually any title in 2025 is playable with 8GB of VRAM at the right graphics settings, the size of the VRAM pool can still significantly impact the user experience. Comparing the 8GB and 16GB versions of the RTX 5060 Ti reveals that while average frame rates are often similar, running out of memory can dramatically worsen one-percent lows, leading to noticeable stuttering. Some games perform worse overall on the 8GB model, and others – like Indiana Jones and the Great Circle – crash at settings where the 16GB GPU runs smoothly. // Related Stories Warhammer 40,000: Space Marine 2 highlights a different issue. Both cards deliver nearly identical frame rates at ultra settings with the 4K texture pack enabled, but the 8GB version struggles to render high-resolution textures. In another benchmark, the 8GB RTX 5060 Ti even falls behind Intel's Arc B580 – a 12GB card that costs over $100 less and targets a lower performance tier. These issues can arise even at 1080p, a resolution still used by 55% of surveyed Steam users. Azor also noted that the mainstream GPU market is aimed largely at esports players, who likely represent the largest segment of users. Steam's most popular games – esports titles like Counter-Strike 2, Marvel Rivals, Dota 2, and Apex Legends – can still achieve high frame rates on 8GB cards. Related reading: 4GB vs. 8GB: How Have VRAM Requirements Evolved? However, as GPUs become more expensive, many users are turning to budget hardware for playing demanding AAA titles, which benchmarks show they can handle surprisingly well. With sufficient VRAM and upscaling technology, mainstream GPUs are perfectly capable of 4K gaming. Nvidia's approach to reviews of 8GB GPUs also suggests manufacturers are aware of the shortcomings. The company withheld 8GB RTX 5060 Ti review units from independent outlets and restricted access to RTX 5060 drivers for reviewers unwilling to benchmark the card under favorable conditions. One such condition was enabling quadruple frame generation, a feature that distorts raw performance metrics and consumes additional VRAM. Meanwhile, ray tracing – a feature Nvidia frequently markets as a core benefit – is notably memory-intensive. AMD's first 8GB card, the Radeon RX 480, launched nearly nine years ago at $229. It's remarkable that manufacturers still sell GPUs with the same VRAM capacity for over $300. Outside of esports, these products are likely to age poorly, especially if next-generation consoles, which are expected to feature more than 20GB of memory, launch within these cards' life spans. How much VRAM do you have?

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Gadgets 360 Compartió un vínculo

2025-05-24 11:35:22 ·

Made in India iPhones Will Still Be Cheaper in the US, Even With Donald Trump's 25 Percent Tariff: GTRI Report

Even if the United States were to impose a 25 per cent tariff on iPhones manufactured in India, the total production cost would still be much lower if compared with manufacturing the devices in the U.S, according to a report by Global Trade Research Initiative.This comes amid a statement by U.S. President Donald Trump, threatening to impose 25 per cent tariffs on iPhones if Apple decides to make it in India. However, the GTRI report showed that manufacturing in India remains cost-effective, despite such duties.The report breaks down the current value chain of aiPhone, which involves contributions from over a dozen countries. Apple retains the largest share of the value, aboutper device, through its brand, software, and design.It also added that the U.S. component makers, such as Qualcomm and Broadcom, add, while Taiwan contributesthrough chip manufacturing. South Korea addsvia OLED screens and memory chips, and Japan supplies components worth, mainly through camera systems. Germany, Vietnam, and Malaysia account for anotherthrough smaller parts.GTRI stated that China and India, despite being major players of iPhone assembly, earn only aroundper device. This is less than 3 per cent of the total retail price of an iPhone.The report argues that manufacturing iPhones in India is still economically viable even if a 25 per cent tariff is applied.This is mainly because of the sharp difference in labour costs between India and the U.S. In India, assembly workers earn approximatelyper month, while in the U.S. states like California, labour costs could soar to aroundper month due to minimum wage laws, a 13-fold increase.As a result, assembling an iPhone in India costs about, while the same process in the U.S. would cost around. In addition to this Apple gets the benefit of production-linked incentiveon iPhone manufacturing in India from government.If Apple were to shift production to the U.S., its profit per iPhone could fall drastically fromto just, unless retail prices are significantly increased.The GTRI report highlighted how global value chains and labour cost differences make India a competitive option for manufacturing, even in the face of potential U.S. trade restrictions.
#made #india #iphones #will #still

Made in India iPhones Will Still Be Cheaper in the US, Even With Donald Trump's 25 Percent Tariff: GTRI Report
Even if the United States were to impose a 25 per cent tariff on iPhones manufactured in India, the total production cost would still be much lower if compared with manufacturing the devices in the U.S, according to a report by Global Trade Research Initiative.This comes amid a statement by U.S. President Donald Trump, threatening to impose 25 per cent tariffs on iPhones if Apple decides to make it in India. However, the GTRI report showed that manufacturing in India remains cost-effective, despite such duties.The report breaks down the current value chain of aiPhone, which involves contributions from over a dozen countries. Apple retains the largest share of the value, aboutper device, through its brand, software, and design.It also added that the U.S. component makers, such as Qualcomm and Broadcom, add, while Taiwan contributesthrough chip manufacturing. South Korea addsvia OLED screens and memory chips, and Japan supplies components worth, mainly through camera systems. Germany, Vietnam, and Malaysia account for anotherthrough smaller parts.GTRI stated that China and India, despite being major players of iPhone assembly, earn only aroundper device. This is less than 3 per cent of the total retail price of an iPhone.The report argues that manufacturing iPhones in India is still economically viable even if a 25 per cent tariff is applied.This is mainly because of the sharp difference in labour costs between India and the U.S. In India, assembly workers earn approximatelyper month, while in the U.S. states like California, labour costs could soar to aroundper month due to minimum wage laws, a 13-fold increase.As a result, assembling an iPhone in India costs about, while the same process in the U.S. would cost around. In addition to this Apple gets the benefit of production-linked incentiveon iPhone manufacturing in India from government.If Apple were to shift production to the U.S., its profit per iPhone could fall drastically fromto just, unless retail prices are significantly increased.The GTRI report highlighted how global value chains and labour cost differences make India a competitive option for manufacturing, even in the face of potential U.S. trade restrictions. #made #india #iphones #will #still

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Made in India iPhones Will Still Be Cheaper in the US, Even With Donald Trump's 25 Percent Tariff: GTRI Report

Even if the United States were to impose a 25 per cent tariff on iPhones manufactured in India, the total production cost would still be much lower if compared with manufacturing the devices in the U.S, according to a report by Global Trade Research Initiative (GTRI).This comes amid a statement by U.S. President Donald Trump, threatening to impose 25 per cent tariffs on iPhones if Apple decides to make it in India. However, the GTRI report showed that manufacturing in India remains cost-effective, despite such duties.The report breaks down the current value chain of a $1,000 (roughly Rs. 83,400) iPhone, which involves contributions from over a dozen countries. Apple retains the largest share of the value, about $450 (roughly Rs. 37,530) per device, through its brand, software, and design.It also added that the U.S. component makers, such as Qualcomm and Broadcom, add $80 (roughly Rs. 6,672), while Taiwan contributes $150 (roughly Rs. 12,510) through chip manufacturing. South Korea adds $90 (roughly Rs. 7,506) via OLED screens and memory chips, and Japan supplies components worth $85 (roughly Rs. 7,089), mainly through camera systems. Germany, Vietnam, and Malaysia account for another $45 (roughly Rs. 3,753) through smaller parts.GTRI stated that China and India, despite being major players of iPhone assembly, earn only around $30 (roughly Rs. 2,502) per device. This is less than 3 per cent of the total retail price of an iPhone.The report argues that manufacturing iPhones in India is still economically viable even if a 25 per cent tariff is applied.This is mainly because of the sharp difference in labour costs between India and the U.S. In India, assembly workers earn approximately $230 (roughly Rs. 19,182) per month, while in the U.S. states like California, labour costs could soar to around $2,900 (roughly Rs. 2,41,860) per month due to minimum wage laws, a 13-fold increase.As a result, assembling an iPhone in India costs about $30 (roughly Rs. 2,502), while the same process in the U.S. would cost around $390 (roughly Rs. 32,526). In addition to this Apple gets the benefit of production-linked incentive (PLI) on iPhone manufacturing in India from government.If Apple were to shift production to the U.S., its profit per iPhone could fall drastically from $450 (roughly Rs. 37,530) to just $60 (roughly Rs. 5,004), unless retail prices are significantly increased.The GTRI report highlighted how global value chains and labour cost differences make India a competitive option for manufacturing, even in the face of potential U.S. trade restrictions.(This story has not been edited by NDTV staff and is auto-generated from a syndicated feed.)

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2025-05-24 10:15:23 ·

Nvidia confirms RTX 5060 black screens and compatibility issues with certain motherboards

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Nvidia confirms RTX 5060 black screens and compatibility issues with certain motherboards

Taras Buria

Neowin
@TarasBuria ·

May 24, 2025 05:46 EDT

The recent launch of the RTX 5060 was quite controversial, with independent media accusing the company of "rug pulling" its new budget graphics card by launching it during Computex and withholding the review driver. Add to that user discontent about 8GB of video memoryand multi-frame generation, high prices, and overall, quite a disastrous state of the recent driver releases. Not the way it's meant to be played...
Now, we have yet another issue with the RTX 5060 graphics card. This time, Nvidia confirmed compatibility issues with certain motherboards, which cause black screens on reboot. The company says this happens with "legacy motherboards," and a firmware update is required to resolve the problem. Nvidia published a support page on its official website with detailed steps to perform if your system experiences black screens during reboots.
Nvidia suggests doing one of the following steps to mitigate the issue:

Shut down your computer before turning it on.
Update your motherboard's BIOS to the latest version.
Make sure the motherboard runs in UEFI mode, not Legacy / CSM. If your motherboard does not support UEFI, Nvidia recommends contacting your GPU's customer support, and it will provide the necessary VBIOS update for legacy motherboards.
Boot using integrated graphics or another GPU.

After booting to the desktop, you can download the Nvidia GPU UEFI Firmware Update Tool and get your RTX 5060 to the latest firmware with the necessary fixes. This applies to the RTX 5060 and the RTX 5060 Ti. Nvidia adds that the firmware update is only required on systems that exhibit black screen issues on reboots. There is no need to update GPU firmware if your system restarts without issues.
You can find all the details and links to the firmware update tool in a post on the official Nvidia support website.

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Nvidia confirms RTX 5060 black screens and compatibility issues with certain motherboards
When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Nvidia confirms RTX 5060 black screens and compatibility issues with certain motherboards Taras Buria Neowin @TarasBuria · May 24, 2025 05:46 EDT The recent launch of the RTX 5060 was quite controversial, with independent media accusing the company of "rug pulling" its new budget graphics card by launching it during Computex and withholding the review driver. Add to that user discontent about 8GB of video memoryand multi-frame generation, high prices, and overall, quite a disastrous state of the recent driver releases. Not the way it's meant to be played... Now, we have yet another issue with the RTX 5060 graphics card. This time, Nvidia confirmed compatibility issues with certain motherboards, which cause black screens on reboot. The company says this happens with "legacy motherboards," and a firmware update is required to resolve the problem. Nvidia published a support page on its official website with detailed steps to perform if your system experiences black screens during reboots. Nvidia suggests doing one of the following steps to mitigate the issue: Shut down your computer before turning it on. Update your motherboard's BIOS to the latest version. Make sure the motherboard runs in UEFI mode, not Legacy / CSM. If your motherboard does not support UEFI, Nvidia recommends contacting your GPU's customer support, and it will provide the necessary VBIOS update for legacy motherboards. Boot using integrated graphics or another GPU. After booting to the desktop, you can download the Nvidia GPU UEFI Firmware Update Tool and get your RTX 5060 to the latest firmware with the necessary fixes. This applies to the RTX 5060 and the RTX 5060 Ti. Nvidia adds that the firmware update is only required on systems that exhibit black screen issues on reboots. There is no need to update GPU firmware if your system restarts without issues. You can find all the details and links to the firmware update tool in a post on the official Nvidia support website. Tags Report a problem with article Follow @NeowinFeed #nvidia #confirms #rtx #black #screens

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Nvidia confirms RTX 5060 black screens and compatibility issues with certain motherboards

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Nvidia confirms RTX 5060 black screens and compatibility issues with certain motherboards Taras Buria Neowin @TarasBuria · May 24, 2025 05:46 EDT The recent launch of the RTX 5060 was quite controversial, with independent media accusing the company of "rug pulling" its new budget graphics card by launching it during Computex and withholding the review driver. Add to that user discontent about 8GB of video memory (AMD has a few words about that) and multi-frame generation, high prices, and overall, quite a disastrous state of the recent driver releases. Not the way it's meant to be played... Now, we have yet another issue with the RTX 5060 graphics card. This time, Nvidia confirmed compatibility issues with certain motherboards, which cause black screens on reboot. The company says this happens with "legacy motherboards," and a firmware update is required to resolve the problem. Nvidia published a support page on its official website with detailed steps to perform if your system experiences black screens during reboots. Nvidia suggests doing one of the following steps to mitigate the issue: Shut down your computer before turning it on. Update your motherboard's BIOS to the latest version. Make sure the motherboard runs in UEFI mode, not Legacy / CSM. If your motherboard does not support UEFI, Nvidia recommends contacting your GPU's customer support, and it will provide the necessary VBIOS update for legacy motherboards. Boot using integrated graphics or another GPU. After booting to the desktop, you can download the Nvidia GPU UEFI Firmware Update Tool and get your RTX 5060 to the latest firmware with the necessary fixes. This applies to the RTX 5060 and the RTX 5060 Ti. Nvidia adds that the firmware update is only required on systems that exhibit black screen issues on reboots. There is no need to update GPU firmware if your system restarts without issues. You can find all the details and links to the firmware update tool in a post on the official Nvidia support website. Tags Report a problem with article Follow @NeowinFeed

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2025-05-24 09:38:24 ·

Micron Unveils Crucial T710 Gen5 SSD: Ultimate Storage For Consumers at 14.9 GB/s With Silicon Motion SM2508 Controller & Slim Heatsink Design

Micron's consumer-division, Crucial, has launched its fastest Gen5 SSD to date, the T710, powered by the SMI2508 controller & up to 14.9 GB/s speeds.
Crucial Goes With Silicon Motion's SM2508 Controller To Power The T710, Its Fastest Gen5 SSD To Date
Press Release: At Computex 2025, Micron Technology expanded its leadership in consumer storage by unveiling its latest high-performance SSDs, the Crucial T710 PCIe Gen5 NVMe SSD and the Crucial X10 Portable SSD. Forged from years of dedicated research and development, these next-gen SSDs redefine performance standards across the board by pushing the limits of speed, capacity, and durability, powering your world at full speed.

Crucial T710: Blazing-fast Gen5 speed for gaming and AI
Leveraging cutting-edge NVMe technology and Micron’s G9 NAND, the Crucial T710 delivers unmatched Gen5 performance for pro-level gaming, creative applications, and data-intensive tasks like AI. Boasting our best Gen5 speeds to date, it features up to:

14,900 megabytes per secondsequential read speeds
13,800 MB/s sequential write speeds
2.2 million random read speeds
2.3 million random write speeds

The T710 delivers up to 67% more IOPs per watt than previous-generation Gen5 drives, running faster and cooler and making it ideal for PCs, laptops, and workstations. The optional integrated heatsink ensures the T710 stays cool under pressure, and capacity options of up to 4TB mean users have the storage space they need for their most demanding projects.
The increasing demands of AI applications require robust hardware for optimal performance. With its dramatically increased energy efficiency and decreased latency, the Crucial T710 is perfect for enabling real-time local data processing on AI PCs, with the speed to load a large language model from SSD to memory in under one second.

2 of 9

Crucial X10: Fast and tough portable storage to expand your digital life
Crucial’s latest portable drive, the X10, delivers read speeds of up to 2,100 MB/s, twice as fast as its predecessor. The X10 is designed for users who need a fast, reliable, and durable solution to back up and store their most important photos, games, movies, documents, and more. With 4TB, 6TB, and 8TB versions available, the Crucial X10 allows users to store massive amounts of data, including up to 500,000 4K photos, 114 games, or 2.6 million MP3 files.

With its sleek, matte-blue design, the X10 is perfect for content creators, gamers, photography hobbyists, and mainstream consumers who require high-speed data transfer and ample storage capacity. Its durable design is IP65 dust- and water-resistant and drop-resistant up to 9.8 feet, making it a vault for your data — secure, portable, and always ready.
The T710 uses Silicon Motion’s SM2508 controller, while the X10 uses the SM2322 controller.
Availability: The Crucial X10 is now available for purchase through e-tailers, retailers, and global channel partners, while the T710 will be available starting in July 2025.

Deal of the Day
#micron #unveils #crucial #t710 #gen5

Micron Unveils Crucial T710 Gen5 SSD: Ultimate Storage For Consumers at 14.9 GB/s With Silicon Motion SM2508 Controller & Slim Heatsink Design
Micron's consumer-division, Crucial, has launched its fastest Gen5 SSD to date, the T710, powered by the SMI2508 controller & up to 14.9 GB/s speeds. Crucial Goes With Silicon Motion's SM2508 Controller To Power The T710, Its Fastest Gen5 SSD To Date Press Release: At Computex 2025, Micron Technology expanded its leadership in consumer storage by unveiling its latest high-performance SSDs, the Crucial T710 PCIe Gen5 NVMe SSD and the Crucial X10 Portable SSD. Forged from years of dedicated research and development, these next-gen SSDs redefine performance standards across the board by pushing the limits of speed, capacity, and durability, powering your world at full speed. Crucial T710: Blazing-fast Gen5 speed for gaming and AI Leveraging cutting-edge NVMe technology and Micron’s G9 NAND, the Crucial T710 delivers unmatched Gen5 performance for pro-level gaming, creative applications, and data-intensive tasks like AI. Boasting our best Gen5 speeds to date, it features up to: 14,900 megabytes per secondsequential read speeds 13,800 MB/s sequential write speeds 2.2 million random read speeds 2.3 million random write speeds The T710 delivers up to 67% more IOPs per watt than previous-generation Gen5 drives, running faster and cooler and making it ideal for PCs, laptops, and workstations. The optional integrated heatsink ensures the T710 stays cool under pressure, and capacity options of up to 4TB mean users have the storage space they need for their most demanding projects. The increasing demands of AI applications require robust hardware for optimal performance. With its dramatically increased energy efficiency and decreased latency, the Crucial T710 is perfect for enabling real-time local data processing on AI PCs, with the speed to load a large language model from SSD to memory in under one second. 2 of 9 Crucial X10: Fast and tough portable storage to expand your digital life Crucial’s latest portable drive, the X10, delivers read speeds of up to 2,100 MB/s, twice as fast as its predecessor. The X10 is designed for users who need a fast, reliable, and durable solution to back up and store their most important photos, games, movies, documents, and more. With 4TB, 6TB, and 8TB versions available, the Crucial X10 allows users to store massive amounts of data, including up to 500,000 4K photos, 114 games, or 2.6 million MP3 files. With its sleek, matte-blue design, the X10 is perfect for content creators, gamers, photography hobbyists, and mainstream consumers who require high-speed data transfer and ample storage capacity. Its durable design is IP65 dust- and water-resistant and drop-resistant up to 9.8 feet, making it a vault for your data — secure, portable, and always ready. The T710 uses Silicon Motion’s SM2508 controller, while the X10 uses the SM2322 controller. Availability: The Crucial X10 is now available for purchase through e-tailers, retailers, and global channel partners, while the T710 will be available starting in July 2025. Deal of the Day #micron #unveils #crucial #t710 #gen5

WCCFTECH.COM

Micron Unveils Crucial T710 Gen5 SSD: Ultimate Storage For Consumers at 14.9 GB/s With Silicon Motion SM2508 Controller & Slim Heatsink Design

Micron's consumer-division, Crucial, has launched its fastest Gen5 SSD to date, the T710, powered by the SMI2508 controller & up to 14.9 GB/s speeds. Crucial Goes With Silicon Motion's SM2508 Controller To Power The T710, Its Fastest Gen5 SSD To Date Press Release: At Computex 2025, Micron Technology expanded its leadership in consumer storage by unveiling its latest high-performance SSDs, the Crucial T710 PCIe Gen5 NVMe SSD and the Crucial X10 Portable SSD. Forged from years of dedicated research and development, these next-gen SSDs redefine performance standards across the board by pushing the limits of speed, capacity, and durability, powering your world at full speed. Crucial T710: Blazing-fast Gen5 speed for gaming and AI Leveraging cutting-edge NVMe technology and Micron’s G9 NAND, the Crucial T710 delivers unmatched Gen5 performance for pro-level gaming, creative applications, and data-intensive tasks like AI. Boasting our best Gen5 speeds to date, it features up to: 14,900 megabytes per second (MB/s) sequential read speeds 13,800 MB/s sequential write speeds 2.2 million random read speeds 2.3 million random write speeds The T710 delivers up to 67% more IOPs per watt than previous-generation Gen5 drives, running faster and cooler and making it ideal for PCs, laptops, and workstations. The optional integrated heatsink ensures the T710 stays cool under pressure, and capacity options of up to 4TB mean users have the storage space they need for their most demanding projects. The increasing demands of AI applications require robust hardware for optimal performance. With its dramatically increased energy efficiency and decreased latency, the Crucial T710 is perfect for enabling real-time local data processing on AI PCs, with the speed to load a large language model from SSD to memory in under one second. 2 of 9 Crucial X10: Fast and tough portable storage to expand your digital life Crucial’s latest portable drive, the X10, delivers read speeds of up to 2,100 MB/s, twice as fast as its predecessor. The X10 is designed for users who need a fast, reliable, and durable solution to back up and store their most important photos, games, movies, documents, and more. With 4TB, 6TB, and 8TB versions available, the Crucial X10 allows users to store massive amounts of data, including up to 500,000 4K photos, 114 games, or 2.6 million MP3 files. With its sleek, matte-blue design, the X10 is perfect for content creators, gamers, photography hobbyists, and mainstream consumers who require high-speed data transfer and ample storage capacity. Its durable design is IP65 dust- and water-resistant and drop-resistant up to 9.8 feet, making it a vault for your data — secure, portable, and always ready. The T710 uses Silicon Motion’s SM2508 controller, while the X10 uses the SM2322 controller. Availability: The Crucial X10 is now available for purchase through e-tailers, retailers, and global channel partners, while the T710 will be available starting in July 2025. Deal of the Day

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2025-05-24 08:42:12 ·

Doctor Who Series 15 Episode 7 Review: Wish World

Warning: contains spoilers for Doctor Who episode “Wish World”.
In the penultimate episode of this season, John Smith and his loving wife Belinda live a picture-perfect life in suburbia with their very real daughter Poppy. Conrad Clark promises beautiful weather and tells light-hearted, very not-portentous stories on the TV, giant bone creatures stride across London, and everything is very normal. But Ruby Sunday is having doubts…
How many ideas are too many?

It’s a question that has nagged while watching this season of Doctor Who. While it’s arguably indecorous to snipe at previous eras of the show, it did sometimes feel like the Chibnall administration struggled to rustle up one killer idea per episode. That’s not been the problem with the second Russell T Davies epoch – quite the opposite, in fact. Granted, complaining about Doctor Who taking big swings is kind of like complaining about water being wet, but I’m not sure you can build a TV show on big swings alone. There are tons of ideas at play, and energy to spare, but the connective tissue isn’t always there to tie it all together.

“Wish World”so much going on in this episode – we have to get to grips with an entirely new alternate reality, and our familiar characters’ new roles within it. We have the two Ranis, another new member of the Pantheon, Shirley’s ragtag crew of dispossessed freedom fighters, shots at reactionary conservatism, ableism, homophobia and tradwife aesthetics. The Seal of Rassilon is there. And then the climactic revelation that all this is merely a means to an end, as the Rani’strue objective becomes clear – to burrow beneath the surface of reality and find Omega, an all-powerful figure from ancient Time Lord history.
It would be overstating it to say that the episode falls apart round about the time that Rani Primestarts monologuing to a confused Doctor about her dastardly scheme, but it’s where the cracks really start to show. It’s not the most elegant exposition that Davies has ever written, even if he does hang a cheeky lampshade on it by having the Rani explicitly refer to it as such, and making it part of her scheme. Steven Moffat tended to excel at these sorts of whirling expository scenes where everything falls into place, whereas here it very much feels like a rushed info dump connecting a bunch of disparate elements that haven’t all been adequately set up.
It’s also here that the structure of ‘lots of ideas carried along with manic energy and high production values’ really creaks. Spending time in the wish world is great fun, with all the joys of mirror universe style stories, seeing everybody forced into perversely inappropriate roles and trying to work out exactly how this world works – or doesn’t work, as the case may be. There are lots of little grace notes, like Colonel Ibrahim’s horrified reaction when the Doctor unthinkingly reassures him that he’s “a beautiful man”, or the fascinating scene between Conrad and Mrs Flood, showing us the strain that keeping the wish alive is having on Conrad, and his uneasy relationship with the creepily chuckling god baby.
But then the Rani starts monologuing, and it’s revealed that all of this – two years of Mrs Flood hints, the Pantheon, Conrad, the vindicators, the destruction of Earth, the wish world – is in service of reaching back into the dim and distant past of Gallifrey and finding an ancient Time Lord. A character who, if memory serves, hasn’t appeared on TV since the 1980s, apart from a blink-and-you-miss-it cameo in 2020’s “The Timeless Children”.
It’s impossible to properly judge this reveal until we’ve seen next week’s “The Reality War”, but based on first impressions, it’s hard to feel terribly excited about the return of Omega. For an episode that’s generally so weird and spiky, and full of wonderfully unsettling imagery, finding out that it’s all building towards the reveal of a figure who really belongs in the Wilderness Years does feel a tad anticlimactic. More than that, it feels fundamentally backwards-looking, which is a bizarre thing to be saying in a review of an episode that features a giggling god baby who grants wishes. Terrifying god babies that grant wishes are not something we’ve explored much in Doctor Who, whereas ancient Time Lord history really feels like it’s been done to death.
Of course, it could all be a feint. Perhaps the twist will be that it was about the terrifying god baby all along, and Omega will remain in the dustbin of history. But, as with last season’s reveal of Sutekh, it almost feels as though Russell T Davies – who was so careful with how he rationed out classic series characters and references during his first run – is making up for lost time by playing with as much Doctor Who lore as he can get his hands on while he has the budget to visualise it, whether it’s the most dramatically compelling choice or not. And it contributes to the uneasy feeling that, while there are plenty of new ideas being introduced in this era, the inexorable gravity of Doctor Who’s mythos is always going to overpower them, so even something as bananas as a wish-granting god baby ultimately plays second fiddle.

Admittedly, fans do like to see stuff they recognise. I am a fan. I like to see stuff I recognise. But we should not be indulged!

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As underwhelming as the Omega reveal is, it doesn’t scupper the episode, which is full of great little moments. Belinda rushing off into the countryside to scream is chilling – Varada Sethu is brilliant throughout, convincingly embodying a different character while still being recognisable, and her gradual horrified realisations are very well played. Ncuti Gatwa is arguably the version of the Doctor who looks the most ill at ease wearing a boring suit and doing normal domestic stuff, so that’s all compellingly off-kilter – even if it would be nice if he woke up from the illusion a bit earlier. Conrad’s sneering and the Rani’s monologuing don’t have quite the same dramatic impact when triumphantly directed at a guy who barely knows who or where he is.
The dynamic between Mrs Flood and Rani Prime is also a lot of fun, and the design of Wish World is brilliant, from the Tim Burton-esque identikit suburbia, the bone creatures and the weird cyber-bondage drone things, down to Connor’s sharp white suit. As ever, in terms of production design and visuals, the show is firing on all cylinders. And while Davies is far from subtle when writing about social issues, the idea of the ignored and dispossessed rising up to save a society that has forsaken them is the kind of radical undercurrent that feels appropriately Doctor Who.
But will they stick the landing? Will the Doctor escape the mother of all cliffhangers? Will we find out what’s going on with Poppy? Will we see more of Rogue? Where is Susan?
And will Conrad get to finish his sandwich?
Reservations aside, I’m excited to find out.

Doctor Who series 15 concludes with “The Reality War” on Saturday May 31 on BBC One in the UK and Disney+ around the world.
#doctor #who #series #episode #review

Doctor Who Series 15 Episode 7 Review: Wish World
Warning: contains spoilers for Doctor Who episode “Wish World”. In the penultimate episode of this season, John Smith and his loving wife Belinda live a picture-perfect life in suburbia with their very real daughter Poppy. Conrad Clark promises beautiful weather and tells light-hearted, very not-portentous stories on the TV, giant bone creatures stride across London, and everything is very normal. But Ruby Sunday is having doubts… How many ideas are too many? It’s a question that has nagged while watching this season of Doctor Who. While it’s arguably indecorous to snipe at previous eras of the show, it did sometimes feel like the Chibnall administration struggled to rustle up one killer idea per episode. That’s not been the problem with the second Russell T Davies epoch – quite the opposite, in fact. Granted, complaining about Doctor Who taking big swings is kind of like complaining about water being wet, but I’m not sure you can build a TV show on big swings alone. There are tons of ideas at play, and energy to spare, but the connective tissue isn’t always there to tie it all together. “Wish World”so much going on in this episode – we have to get to grips with an entirely new alternate reality, and our familiar characters’ new roles within it. We have the two Ranis, another new member of the Pantheon, Shirley’s ragtag crew of dispossessed freedom fighters, shots at reactionary conservatism, ableism, homophobia and tradwife aesthetics. The Seal of Rassilon is there. And then the climactic revelation that all this is merely a means to an end, as the Rani’strue objective becomes clear – to burrow beneath the surface of reality and find Omega, an all-powerful figure from ancient Time Lord history. It would be overstating it to say that the episode falls apart round about the time that Rani Primestarts monologuing to a confused Doctor about her dastardly scheme, but it’s where the cracks really start to show. It’s not the most elegant exposition that Davies has ever written, even if he does hang a cheeky lampshade on it by having the Rani explicitly refer to it as such, and making it part of her scheme. Steven Moffat tended to excel at these sorts of whirling expository scenes where everything falls into place, whereas here it very much feels like a rushed info dump connecting a bunch of disparate elements that haven’t all been adequately set up. It’s also here that the structure of ‘lots of ideas carried along with manic energy and high production values’ really creaks. Spending time in the wish world is great fun, with all the joys of mirror universe style stories, seeing everybody forced into perversely inappropriate roles and trying to work out exactly how this world works – or doesn’t work, as the case may be. There are lots of little grace notes, like Colonel Ibrahim’s horrified reaction when the Doctor unthinkingly reassures him that he’s “a beautiful man”, or the fascinating scene between Conrad and Mrs Flood, showing us the strain that keeping the wish alive is having on Conrad, and his uneasy relationship with the creepily chuckling god baby. But then the Rani starts monologuing, and it’s revealed that all of this – two years of Mrs Flood hints, the Pantheon, Conrad, the vindicators, the destruction of Earth, the wish world – is in service of reaching back into the dim and distant past of Gallifrey and finding an ancient Time Lord. A character who, if memory serves, hasn’t appeared on TV since the 1980s, apart from a blink-and-you-miss-it cameo in 2020’s “The Timeless Children”. It’s impossible to properly judge this reveal until we’ve seen next week’s “The Reality War”, but based on first impressions, it’s hard to feel terribly excited about the return of Omega. For an episode that’s generally so weird and spiky, and full of wonderfully unsettling imagery, finding out that it’s all building towards the reveal of a figure who really belongs in the Wilderness Years does feel a tad anticlimactic. More than that, it feels fundamentally backwards-looking, which is a bizarre thing to be saying in a review of an episode that features a giggling god baby who grants wishes. Terrifying god babies that grant wishes are not something we’ve explored much in Doctor Who, whereas ancient Time Lord history really feels like it’s been done to death. Of course, it could all be a feint. Perhaps the twist will be that it was about the terrifying god baby all along, and Omega will remain in the dustbin of history. But, as with last season’s reveal of Sutekh, it almost feels as though Russell T Davies – who was so careful with how he rationed out classic series characters and references during his first run – is making up for lost time by playing with as much Doctor Who lore as he can get his hands on while he has the budget to visualise it, whether it’s the most dramatically compelling choice or not. And it contributes to the uneasy feeling that, while there are plenty of new ideas being introduced in this era, the inexorable gravity of Doctor Who’s mythos is always going to overpower them, so even something as bananas as a wish-granting god baby ultimately plays second fiddle. Admittedly, fans do like to see stuff they recognise. I am a fan. I like to see stuff I recognise. But we should not be indulged! Join our mailing list Get the best of Den of Geek delivered right to your inbox! As underwhelming as the Omega reveal is, it doesn’t scupper the episode, which is full of great little moments. Belinda rushing off into the countryside to scream is chilling – Varada Sethu is brilliant throughout, convincingly embodying a different character while still being recognisable, and her gradual horrified realisations are very well played. Ncuti Gatwa is arguably the version of the Doctor who looks the most ill at ease wearing a boring suit and doing normal domestic stuff, so that’s all compellingly off-kilter – even if it would be nice if he woke up from the illusion a bit earlier. Conrad’s sneering and the Rani’s monologuing don’t have quite the same dramatic impact when triumphantly directed at a guy who barely knows who or where he is. The dynamic between Mrs Flood and Rani Prime is also a lot of fun, and the design of Wish World is brilliant, from the Tim Burton-esque identikit suburbia, the bone creatures and the weird cyber-bondage drone things, down to Connor’s sharp white suit. As ever, in terms of production design and visuals, the show is firing on all cylinders. And while Davies is far from subtle when writing about social issues, the idea of the ignored and dispossessed rising up to save a society that has forsaken them is the kind of radical undercurrent that feels appropriately Doctor Who. But will they stick the landing? Will the Doctor escape the mother of all cliffhangers? Will we find out what’s going on with Poppy? Will we see more of Rogue? Where is Susan? And will Conrad get to finish his sandwich? Reservations aside, I’m excited to find out. Doctor Who series 15 concludes with “The Reality War” on Saturday May 31 on BBC One in the UK and Disney+ around the world. #doctor #who #series #episode #review

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Doctor Who Series 15 Episode 7 Review: Wish World

Warning: contains spoilers for Doctor Who episode “Wish World”. In the penultimate episode of this season, John Smith and his loving wife Belinda live a picture-perfect life in suburbia with their very real daughter Poppy. Conrad Clark promises beautiful weather and tells light-hearted, very not-portentous stories on the TV, giant bone creatures stride across London, and everything is very normal. But Ruby Sunday is having doubts… How many ideas are too many? It’s a question that has nagged while watching this season of Doctor Who. While it’s arguably indecorous to snipe at previous eras of the show, it did sometimes feel like the Chibnall administration struggled to rustle up one killer idea per episode. That’s not been the problem with the second Russell T Davies epoch – quite the opposite, in fact. Granted, complaining about Doctor Who taking big swings is kind of like complaining about water being wet, but I’m not sure you can build a TV show on big swings alone. There are tons of ideas at play, and energy to spare (something the Chibnall era also often lacked), but the connective tissue isn’t always there to tie it all together. “Wish World”so much going on in this episode – we have to get to grips with an entirely new alternate reality, and our familiar characters’ new roles within it. We have the two Ranis, another new member of the Pantheon (a “terrifying” mystical baby with the power to grant wishes), Shirley’s ragtag crew of dispossessed freedom fighters, shots at reactionary conservatism, ableism, homophobia and tradwife aesthetics. The Seal of Rassilon is there. And then the climactic revelation that all this is merely a means to an end, as the Rani’s (Ranis’?) true objective becomes clear – to burrow beneath the surface of reality and find Omega, an all-powerful figure from ancient Time Lord history. It would be overstating it to say that the episode falls apart round about the time that Rani Prime (Archie Panjabi, having great fun chewing the appropriate quantity of scenery) starts monologuing to a confused Doctor about her dastardly scheme, but it’s where the cracks really start to show. It’s not the most elegant exposition that Davies has ever written, even if he does hang a cheeky lampshade on it by having the Rani explicitly refer to it as such, and making it part of her scheme. Steven Moffat tended to excel at these sorts of whirling expository scenes where everything falls into place, whereas here it very much feels like a rushed info dump connecting a bunch of disparate elements that haven’t all been adequately set up. It’s also here that the structure of ‘lots of ideas carried along with manic energy and high production values’ really creaks. Spending time in the wish world is great fun, with all the joys of mirror universe style stories, seeing everybody forced into perversely inappropriate roles and trying to work out exactly how this world works – or doesn’t work, as the case may be. There are lots of little grace notes, like Colonel Ibrahim’s horrified reaction when the Doctor unthinkingly reassures him that he’s “a beautiful man”, or the fascinating scene between Conrad and Mrs Flood, showing us the strain that keeping the wish alive is having on Conrad, and his uneasy relationship with the creepily chuckling god baby. But then the Rani starts monologuing, and it’s revealed that all of this – two years of Mrs Flood hints, the Pantheon, Conrad, the vindicators, the destruction of Earth, the wish world – is in service of reaching back into the dim and distant past of Gallifrey and finding an ancient Time Lord. A character who, if memory serves, hasn’t appeared on TV since the 1980s, apart from a blink-and-you-miss-it cameo in 2020’s “The Timeless Children”. It’s impossible to properly judge this reveal until we’ve seen next week’s “The Reality War”, but based on first impressions, it’s hard to feel terribly excited about the return of Omega. For an episode that’s generally so weird and spiky, and full of wonderfully unsettling imagery (like the baby’s mother gently collapsing into a pile of flowers), finding out that it’s all building towards the reveal of a figure who really belongs in the Wilderness Years does feel a tad anticlimactic. More than that, it feels fundamentally backwards-looking, which is a bizarre thing to be saying in a review of an episode that features a giggling god baby who grants wishes. Terrifying god babies that grant wishes are not something we’ve explored much in Doctor Who, whereas ancient Time Lord history really feels like it’s been done to death. Of course, it could all be a feint. Perhaps the twist will be that it was about the terrifying god baby all along, and Omega will remain in the dustbin of history. But, as with last season’s reveal of Sutekh, it almost feels as though Russell T Davies – who was so careful with how he rationed out classic series characters and references during his first run – is making up for lost time by playing with as much Doctor Who lore as he can get his hands on while he has the budget to visualise it, whether it’s the most dramatically compelling choice or not. And it contributes to the uneasy feeling that, while there are plenty of new ideas being introduced in this era, the inexorable gravity of Doctor Who’s mythos is always going to overpower them, so even something as bananas as a wish-granting god baby ultimately plays second fiddle. Admittedly, fans do like to see stuff they recognise. I am a fan. I like to see stuff I recognise. But we should not be indulged! Join our mailing list Get the best of Den of Geek delivered right to your inbox! As underwhelming as the Omega reveal is, it doesn’t scupper the episode, which is full of great little moments. Belinda rushing off into the countryside to scream is chilling – Varada Sethu is brilliant throughout, convincingly embodying a different character while still being recognisable, and her gradual horrified realisations are very well played. Ncuti Gatwa is arguably the version of the Doctor who looks the most ill at ease wearing a boring suit and doing normal domestic stuff, so that’s all compellingly off-kilter – even if it would be nice if he woke up from the illusion a bit earlier. Conrad’s sneering and the Rani’s monologuing don’t have quite the same dramatic impact when triumphantly directed at a guy who barely knows who or where he is. The dynamic between Mrs Flood and Rani Prime is also a lot of fun, and the design of Wish World is brilliant, from the Tim Burton-esque identikit suburbia, the bone creatures and the weird cyber-bondage drone things, down to Connor’s sharp white suit. As ever, in terms of production design and visuals, the show is firing on all cylinders. And while Davies is far from subtle when writing about social issues (did we really need two instances of Ruby being clumsily steered into making ableist microaggressions just so the others could chastise her for them?), the idea of the ignored and dispossessed rising up to save a society that has forsaken them is the kind of radical undercurrent that feels appropriately Doctor Who. But will they stick the landing? Will the Doctor escape the mother of all cliffhangers? Will we find out what’s going on with Poppy? Will we see more of Rogue? Where is Susan? And will Conrad get to finish his sandwich? Reservations aside, I’m excited to find out. Doctor Who series 15 concludes with “The Reality War” on Saturday May 31 on BBC One in the UK and Disney+ around the world.

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Marktechpost AI Compartió un vínculo

2025-05-24 08:41:53 ·

This AI Paper Introduces Group Think: A Token-Level Multi-Agent Reasoning Paradigm for Faster and Collaborative LLM Inference

A prominent area of exploration involves enabling large language modelsto function collaboratively. Multi-agent systems powered by LLMs are now being examined for their potential to coordinate challenging problems by splitting tasks and working simultaneously. This direction has gained attention due to its potential to increase efficiency and reduce latency in real-time applications.
A common issue in collaborative LLM systems is agents’ sequential, turn-based communication. In such systems, each agent must wait for others to complete their reasoning steps before proceeding. This slows down processing, especially in situations demanding rapid responses. Moreover, agents often duplicate efforts or generate inconsistent outputs, as they cannot see the evolving thoughts of their peers during generation. This latency and redundancy reduce the practicality of deploying multi-agent LLMs, particularly when time and computation are constrained, such as edge devices.

Most current solutions have relied on sequential or independently parallel sampling techniques to improve reasoning. Methods like Chain-of-Thought prompting help models to solve problems in a structured way but often come with increased inference time. Approaches such as Tree-of-Thoughts and Graph-of-Thoughts expand on this by branching reasoning paths. However, these approaches still do not allow for real-time mutual adaptation among agents. Multi-agent setups have explored collaborative methods, but mostly through alternating message exchanges, which again introduces delays. Some advanced systems propose complex dynamic scheduling or role-based configurations, which are not optimized for efficient inference.
Research from MediaTek Research introduced a new method called Group Think. This approach enables multiple reasoning agents within a single LLM to operate concurrently, observing each other’s partial outputs at the token level. Each reasoning thread adapts to the evolving thoughts of the others mid-generation. This mechanism reduces duplication and enables agents to shift direction if another thread is better positioned to continue a specific line of reasoning. Group Think is implemented through a token-level attention mechanism that lets each agent attend to previously generated tokens from all agents, supporting real-time collaboration.
The method works by assigning each agent its own sequence of token indices, allowing their outputs to be interleaved in memory. These interleaved tokens are stored in a shared cache accessible to all agents during generation. This design allows efficient attention across reasoning threads without architectural changes to the transformer model. The implementation works both on personal devices and in data centers. On local devices, it effectively uses idle compute by batching multiple agent outputs, even with a batch size of one. In data centers, Group Think allows multiple requests to be processed together, interleaving tokens across agents while maintaining correct attention dynamics.

Performance tests demonstrate that Group Think significantly improves latency and output quality. In enumeration tasks, such as listing 100 distinct names, it achieved near-complete results more rapidly than conventional Chain-of-Thought approaches. The acceleration was proportional to the number of thinkers; for example, four thinkers reduced latency by a factor of about four. In divide-and-conquer problems, using the Floyd–Warshall algorithm on a graph of five nodes, four thinkers reduced the completion time to half that of a single agent. Group Think solved code generation challenges in programming tasks more effectively than baseline models. With four or more thinkers, the model produced correct code segments much faster than traditional reasoning models.
This research shows that existing LLMs, though not explicitly trained for collaboration, can already demonstrate emergent group reasoning behaviors under the Group Think setup. In experiments, agents naturally diversified their work to avoid redundancy, often dividing tasks by topic or focus area. These findings suggest that Group Think’s efficiency and sophistication could be enhanced further with dedicated training on collaborative data.

Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter.
NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPONikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces MathCoder-VL and FigCodifier: Advancing Multimodal Mathematical Reasoning with Vision-to-Code AlignmentNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces PARSCALE: A Parallel Computation Method for Efficient and Scalable Language Model DeploymentNikhilhttps://www.marktechpost.com/author/nikhil0980/Google AI Releases Standalone NotebookLM Mobile App with Offline Audio and Seamless Source Integration
#this #paper #introduces #group #think

This AI Paper Introduces Group Think: A Token-Level Multi-Agent Reasoning Paradigm for Faster and Collaborative LLM Inference
A prominent area of exploration involves enabling large language modelsto function collaboratively. Multi-agent systems powered by LLMs are now being examined for their potential to coordinate challenging problems by splitting tasks and working simultaneously. This direction has gained attention due to its potential to increase efficiency and reduce latency in real-time applications. A common issue in collaborative LLM systems is agents’ sequential, turn-based communication. In such systems, each agent must wait for others to complete their reasoning steps before proceeding. This slows down processing, especially in situations demanding rapid responses. Moreover, agents often duplicate efforts or generate inconsistent outputs, as they cannot see the evolving thoughts of their peers during generation. This latency and redundancy reduce the practicality of deploying multi-agent LLMs, particularly when time and computation are constrained, such as edge devices. Most current solutions have relied on sequential or independently parallel sampling techniques to improve reasoning. Methods like Chain-of-Thought prompting help models to solve problems in a structured way but often come with increased inference time. Approaches such as Tree-of-Thoughts and Graph-of-Thoughts expand on this by branching reasoning paths. However, these approaches still do not allow for real-time mutual adaptation among agents. Multi-agent setups have explored collaborative methods, but mostly through alternating message exchanges, which again introduces delays. Some advanced systems propose complex dynamic scheduling or role-based configurations, which are not optimized for efficient inference. Research from MediaTek Research introduced a new method called Group Think. This approach enables multiple reasoning agents within a single LLM to operate concurrently, observing each other’s partial outputs at the token level. Each reasoning thread adapts to the evolving thoughts of the others mid-generation. This mechanism reduces duplication and enables agents to shift direction if another thread is better positioned to continue a specific line of reasoning. Group Think is implemented through a token-level attention mechanism that lets each agent attend to previously generated tokens from all agents, supporting real-time collaboration. The method works by assigning each agent its own sequence of token indices, allowing their outputs to be interleaved in memory. These interleaved tokens are stored in a shared cache accessible to all agents during generation. This design allows efficient attention across reasoning threads without architectural changes to the transformer model. The implementation works both on personal devices and in data centers. On local devices, it effectively uses idle compute by batching multiple agent outputs, even with a batch size of one. In data centers, Group Think allows multiple requests to be processed together, interleaving tokens across agents while maintaining correct attention dynamics. Performance tests demonstrate that Group Think significantly improves latency and output quality. In enumeration tasks, such as listing 100 distinct names, it achieved near-complete results more rapidly than conventional Chain-of-Thought approaches. The acceleration was proportional to the number of thinkers; for example, four thinkers reduced latency by a factor of about four. In divide-and-conquer problems, using the Floyd–Warshall algorithm on a graph of five nodes, four thinkers reduced the completion time to half that of a single agent. Group Think solved code generation challenges in programming tasks more effectively than baseline models. With four or more thinkers, the model produced correct code segments much faster than traditional reasoning models. This research shows that existing LLMs, though not explicitly trained for collaboration, can already demonstrate emergent group reasoning behaviors under the Group Think setup. In experiments, agents naturally diversified their work to avoid redundancy, often dividing tasks by topic or focus area. These findings suggest that Group Think’s efficiency and sophistication could be enhanced further with dedicated training on collaborative data. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPONikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces MathCoder-VL and FigCodifier: Advancing Multimodal Mathematical Reasoning with Vision-to-Code AlignmentNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces PARSCALE: A Parallel Computation Method for Efficient and Scalable Language Model DeploymentNikhilhttps://www.marktechpost.com/author/nikhil0980/Google AI Releases Standalone NotebookLM Mobile App with Offline Audio and Seamless Source Integration #this #paper #introduces #group #think

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This AI Paper Introduces Group Think: A Token-Level Multi-Agent Reasoning Paradigm for Faster and Collaborative LLM Inference

A prominent area of exploration involves enabling large language models (LLMs) to function collaboratively. Multi-agent systems powered by LLMs are now being examined for their potential to coordinate challenging problems by splitting tasks and working simultaneously. This direction has gained attention due to its potential to increase efficiency and reduce latency in real-time applications. A common issue in collaborative LLM systems is agents’ sequential, turn-based communication. In such systems, each agent must wait for others to complete their reasoning steps before proceeding. This slows down processing, especially in situations demanding rapid responses. Moreover, agents often duplicate efforts or generate inconsistent outputs, as they cannot see the evolving thoughts of their peers during generation. This latency and redundancy reduce the practicality of deploying multi-agent LLMs, particularly when time and computation are constrained, such as edge devices. Most current solutions have relied on sequential or independently parallel sampling techniques to improve reasoning. Methods like Chain-of-Thought prompting help models to solve problems in a structured way but often come with increased inference time. Approaches such as Tree-of-Thoughts and Graph-of-Thoughts expand on this by branching reasoning paths. However, these approaches still do not allow for real-time mutual adaptation among agents. Multi-agent setups have explored collaborative methods, but mostly through alternating message exchanges, which again introduces delays. Some advanced systems propose complex dynamic scheduling or role-based configurations, which are not optimized for efficient inference. Research from MediaTek Research introduced a new method called Group Think. This approach enables multiple reasoning agents within a single LLM to operate concurrently, observing each other’s partial outputs at the token level. Each reasoning thread adapts to the evolving thoughts of the others mid-generation. This mechanism reduces duplication and enables agents to shift direction if another thread is better positioned to continue a specific line of reasoning. Group Think is implemented through a token-level attention mechanism that lets each agent attend to previously generated tokens from all agents, supporting real-time collaboration. The method works by assigning each agent its own sequence of token indices, allowing their outputs to be interleaved in memory. These interleaved tokens are stored in a shared cache accessible to all agents during generation. This design allows efficient attention across reasoning threads without architectural changes to the transformer model. The implementation works both on personal devices and in data centers. On local devices, it effectively uses idle compute by batching multiple agent outputs, even with a batch size of one. In data centers, Group Think allows multiple requests to be processed together, interleaving tokens across agents while maintaining correct attention dynamics. Performance tests demonstrate that Group Think significantly improves latency and output quality. In enumeration tasks, such as listing 100 distinct names, it achieved near-complete results more rapidly than conventional Chain-of-Thought approaches. The acceleration was proportional to the number of thinkers; for example, four thinkers reduced latency by a factor of about four. In divide-and-conquer problems, using the Floyd–Warshall algorithm on a graph of five nodes, four thinkers reduced the completion time to half that of a single agent. Group Think solved code generation challenges in programming tasks more effectively than baseline models. With four or more thinkers, the model produced correct code segments much faster than traditional reasoning models. This research shows that existing LLMs, though not explicitly trained for collaboration, can already demonstrate emergent group reasoning behaviors under the Group Think setup. In experiments, agents naturally diversified their work to avoid redundancy, often dividing tasks by topic or focus area. These findings suggest that Group Think’s efficiency and sophistication could be enhanced further with dedicated training on collaborative data. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPONikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces MathCoder-VL and FigCodifier: Advancing Multimodal Mathematical Reasoning with Vision-to-Code AlignmentNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces PARSCALE (Parallel Scaling): A Parallel Computation Method for Efficient and Scalable Language Model DeploymentNikhilhttps://www.marktechpost.com/author/nikhil0980/Google AI Releases Standalone NotebookLM Mobile App with Offline Audio and Seamless Source Integration

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Unity Compartió un vínculo

2025-05-24 05:55:56 ·

Building my first multiplayer game with Netcode for GameObjects

My name is Esteban Maldonado and I’m a developer advocate for Unity. My job is to spread the word about Unity Gaming Services and create new educational material so developers can get started with the tools for their own multiplayer development journey.One of those solutions is Netcode for GameObjects, a first-party, mid-level networking library built for the Unity game engine. A netcode solution is essential in any multiplayer development project.One of the responsibilities of a developer advocate at Unity is to create sample games that showcase our tools, and an NGO sample was assigned to me – Galactic Kittens.However, although I’ve had my good share of professional gigs in the games industry, I personally have little experience making multiplayer games – so this was going to prove to be not just a learning opportunity for developers who use the sample, but also a learning experience for me making the game in the first place.Together with my team, we fleshed out the concept of Galactic Kittens – the difficulty level of the sample, the basic mechanics, the character abilities, and more.In order to tackle this sample game project, I joined forces with the talented team at Bromio in order to make this sample game come to life with polished art assets, music and SFX, and programming support. Our combined goal was to provide developers with a simple, beginner-friendly introduction to building a multiplayer game in Unity with Netcode for GameObjects.In this blog, I’ll cover the development journey for Galactic Kittens, from prototype to stable release, and how you can leverage this sample to start your own multiplayer project.Before I dive into its development, here’s a quick overview of our new sample game Galactic Kittens. This sample is a 2D co-op space adventure designed to help you learn some basics of multiplayer networking.The sample is meant to teach you necessary techniques to get started with multiplayer development, such as:Network session management, with automatic scene switchingBasic 2D movement synchronization, including changes in sprite sheetsSpawning game objects at runtime, on server sideTransferring ownership of the main players from the server to its clientVFX creation across all connected clientsHow to play sound effects and music to all clientsCommunicating player and game statsand displaying them on the game’s UIYou can learn more about Galactic Kittens on our website, or download the sample directly from GitHub to get started exploring the code.While I didn’t have too much experience making multiplayer games, Unity does have many public resources to help users get started with using NGO.With these resources, I started very simply by familiarizing myself with basic network concepts and terminology, using our Unity Multiplayer documentation. Next, I followed the Hello World project tutorials and studied available bitesize samples to start getting some results.After some trial and error, I was able to make a simple base prototype from scratch.At this point, there was no custom lobby, no real UI, no real connection management – you get the picture. The prototype was just two equal shipsthat moved around the screen and shot a cube bullet when you pressed the spacebar. It was just enough to show object spawning and movement synchronization across clients.It was a start, but I knew that Bromio would help us reach the finish line and turn this into a workable sample.After my initial progress, I started working with Bromio on fleshing out the prototype into something more production-ready. Like me, they did not have much experience making multiplayer games, but they took on the challenge and helped us reach our goal.In order to work more efficiently, we broke down the game into isolated components to start development in parallel – with artists working on assets and programmers working on the core logic of the game.Here’s a peak at the evolution of the art style in Galactic Kittens.Meanwhile, Bromio’s main developer and I were discovering fun and challenging aspects of making Galactic Kittens into a functioning game sample.One of the biggest challenges in development was connection management and character selection. We had to store the data of the characters in separate ScriptableObject files, which you will see when you download the project.These files contain the necessary information about each space explorer, including which spritesto show on the UI and the prefabs that should be spawned for each player once the gameplay scene starts.On the character selection screen, a big challenge was to make sure to acknowledge the event of a client disconnecting and to handle that event through the UI.We decided that users should not be able to pick the same character, in order to show how developers could actually do this in their own games.The next challenge for connection management was the event of players disconnecting in the middle of a game session. This meant not only that the game had to adapt to players leaving, but also had to block other players from entering while a game is in session. We decided to make the connection manager only allow for new connections to come in while the host instance is on the character selection screen. This is not a one-size-fits-all solution – other games may allow for players to join late in an ongoing session, while other games may not – it’s up to developers to decide what’s best for their experience.We wanted to keep gameplay simple, with no complex AI or fancy behavior logic for the enemies or meteorites that players see. This way, we could provide a full game sample without taking away focus from showing users how to use the NGO library.As such, there are two main types of enemies and one meteorite obstacle: Space Shooter Space Ghost MeteoriteBoth enemies choose a random movement pattern, while the Space Shooter enemy is the only one that actually shoots back enemy lasers. Please refer to ourdeveloper guide for more information on how these enemies are built and how you can add your own logic.By the time we worked on the boss battle, all of the lessons learned from implementing the game’s lobby, player spaceship behavior, and simple enemies helped us to quickly build the final boss battle experience.One particular challenge was timing the warning alarm that you hear and see before the boss enters. In the end, we sent events with client and server RPCs in order to signal that the regular play experience was over and the final boss battle was about to begin.The behavior of the boss is structured as a finite state machinethat randomly selects which set of attacks to throw at the connected players. To do this, we used a C# class called BossController, which handles the transition from one boss state to another. Check the developer guide for information about the code behind this battle, and how you can add your own boss states.The #1 resource that helped us succeed in our mission to build this sample game was joining the Unity Multiplayer Networking Discord server and asking questions to the community. Here, we were able to actually speak with other developers who are making multiplayer games and also speak with Unity multiplayer service creators. The collective pool of knowledge was more than enough to help us reach the finish line.Working at Unity means I get to collaborate alongside networking savvy people who work hard to develop helpful resources and documentation that’s designed to assist everyone get started with multiplayer development. The Unity multiplayer documentation site came in handy many times – from familiarizing myself with basic networking terminology to dealing with latency to actually coding with NGO.We're definitely excited about Galactic Kittens. We’d like for you, and future NGO users, to use this sample as a step in the right direction toward your multiplayer learning journey. Please feel free to reach out in the Discord server or forums to ask questions or provide feedback and suggestions.One of the things I’m eager to learn is how to add object pooling to a multiplayer game sample. This is the technique that lets you pre-allocate the necessary memory for objects that get spawned repeatedly during a game session. In an earlier experiment, I tried this technique in an offline Unity project and it can definitely make an improvement to your game’s run-time efficiency. We’ve applied this technique to Boss Room and other UGS samples as well.If you’re starting out on your own multiplayer journey, then there are a lot of resources that my team at Unity provides to help make it easier for you.I would recommend starting at the Netcode for GameObjects page, where you can familiarize yourself with the package. Next, you can explore NGO through the Galactic Kittenssample or take small steps with bitesize samples.Once you’re on your journey, I recommend joining the Unity Multiplayer Networking Discord server and checking out the forums. And, if you feel like Galactic Kittens is too simple or not enough of a challenge, I would definitely encourage you to check out Boss Room, which is a complete 3D sample game that takes NGO development to a production-ready level.For taking your game online, Unity Gaming Services can help you even further – whether you’re looking to add the Lobby or Matchmaker services, voice and text chat with Vivox, or even hosting solutions like the P2P Relay service or Game Server Hosting. Happy creating!To find out more about recent trends and the future of multiplayer, read the 2022 Unity Multiplayer Report, which aggregates the results of over 1,500 survey responses across the US, UK, Japan, and Korea.
#building #first #multiplayer #game #with

Building my first multiplayer game with Netcode for GameObjects
My name is Esteban Maldonado and I’m a developer advocate for Unity. My job is to spread the word about Unity Gaming Services and create new educational material so developers can get started with the tools for their own multiplayer development journey.One of those solutions is Netcode for GameObjects, a first-party, mid-level networking library built for the Unity game engine. A netcode solution is essential in any multiplayer development project.One of the responsibilities of a developer advocate at Unity is to create sample games that showcase our tools, and an NGO sample was assigned to me – Galactic Kittens.However, although I’ve had my good share of professional gigs in the games industry, I personally have little experience making multiplayer games – so this was going to prove to be not just a learning opportunity for developers who use the sample, but also a learning experience for me making the game in the first place.Together with my team, we fleshed out the concept of Galactic Kittens – the difficulty level of the sample, the basic mechanics, the character abilities, and more.In order to tackle this sample game project, I joined forces with the talented team at Bromio in order to make this sample game come to life with polished art assets, music and SFX, and programming support. Our combined goal was to provide developers with a simple, beginner-friendly introduction to building a multiplayer game in Unity with Netcode for GameObjects.In this blog, I’ll cover the development journey for Galactic Kittens, from prototype to stable release, and how you can leverage this sample to start your own multiplayer project.Before I dive into its development, here’s a quick overview of our new sample game Galactic Kittens. This sample is a 2D co-op space adventure designed to help you learn some basics of multiplayer networking.The sample is meant to teach you necessary techniques to get started with multiplayer development, such as:Network session management, with automatic scene switchingBasic 2D movement synchronization, including changes in sprite sheetsSpawning game objects at runtime, on server sideTransferring ownership of the main players from the server to its clientVFX creation across all connected clientsHow to play sound effects and music to all clientsCommunicating player and game statsand displaying them on the game’s UIYou can learn more about Galactic Kittens on our website, or download the sample directly from GitHub to get started exploring the code.While I didn’t have too much experience making multiplayer games, Unity does have many public resources to help users get started with using NGO.With these resources, I started very simply by familiarizing myself with basic network concepts and terminology, using our Unity Multiplayer documentation. Next, I followed the Hello World project tutorials and studied available bitesize samples to start getting some results.After some trial and error, I was able to make a simple base prototype from scratch.At this point, there was no custom lobby, no real UI, no real connection management – you get the picture. The prototype was just two equal shipsthat moved around the screen and shot a cube bullet when you pressed the spacebar. It was just enough to show object spawning and movement synchronization across clients.It was a start, but I knew that Bromio would help us reach the finish line and turn this into a workable sample.After my initial progress, I started working with Bromio on fleshing out the prototype into something more production-ready. Like me, they did not have much experience making multiplayer games, but they took on the challenge and helped us reach our goal.In order to work more efficiently, we broke down the game into isolated components to start development in parallel – with artists working on assets and programmers working on the core logic of the game.Here’s a peak at the evolution of the art style in Galactic Kittens.Meanwhile, Bromio’s main developer and I were discovering fun and challenging aspects of making Galactic Kittens into a functioning game sample.One of the biggest challenges in development was connection management and character selection. We had to store the data of the characters in separate ScriptableObject files, which you will see when you download the project.These files contain the necessary information about each space explorer, including which spritesto show on the UI and the prefabs that should be spawned for each player once the gameplay scene starts.On the character selection screen, a big challenge was to make sure to acknowledge the event of a client disconnecting and to handle that event through the UI.We decided that users should not be able to pick the same character, in order to show how developers could actually do this in their own games.The next challenge for connection management was the event of players disconnecting in the middle of a game session. This meant not only that the game had to adapt to players leaving, but also had to block other players from entering while a game is in session. We decided to make the connection manager only allow for new connections to come in while the host instance is on the character selection screen. This is not a one-size-fits-all solution – other games may allow for players to join late in an ongoing session, while other games may not – it’s up to developers to decide what’s best for their experience.We wanted to keep gameplay simple, with no complex AI or fancy behavior logic for the enemies or meteorites that players see. This way, we could provide a full game sample without taking away focus from showing users how to use the NGO library.As such, there are two main types of enemies and one meteorite obstacle: Space Shooter Space Ghost MeteoriteBoth enemies choose a random movement pattern, while the Space Shooter enemy is the only one that actually shoots back enemy lasers. Please refer to ourdeveloper guide for more information on how these enemies are built and how you can add your own logic.By the time we worked on the boss battle, all of the lessons learned from implementing the game’s lobby, player spaceship behavior, and simple enemies helped us to quickly build the final boss battle experience.One particular challenge was timing the warning alarm that you hear and see before the boss enters. In the end, we sent events with client and server RPCs in order to signal that the regular play experience was over and the final boss battle was about to begin.The behavior of the boss is structured as a finite state machinethat randomly selects which set of attacks to throw at the connected players. To do this, we used a C# class called BossController, which handles the transition from one boss state to another. Check the developer guide for information about the code behind this battle, and how you can add your own boss states.The #1 resource that helped us succeed in our mission to build this sample game was joining the Unity Multiplayer Networking Discord server and asking questions to the community. Here, we were able to actually speak with other developers who are making multiplayer games and also speak with Unity multiplayer service creators. The collective pool of knowledge was more than enough to help us reach the finish line.Working at Unity means I get to collaborate alongside networking savvy people who work hard to develop helpful resources and documentation that’s designed to assist everyone get started with multiplayer development. The Unity multiplayer documentation site came in handy many times – from familiarizing myself with basic networking terminology to dealing with latency to actually coding with NGO.We're definitely excited about Galactic Kittens. We’d like for you, and future NGO users, to use this sample as a step in the right direction toward your multiplayer learning journey. Please feel free to reach out in the Discord server or forums to ask questions or provide feedback and suggestions.One of the things I’m eager to learn is how to add object pooling to a multiplayer game sample. This is the technique that lets you pre-allocate the necessary memory for objects that get spawned repeatedly during a game session. In an earlier experiment, I tried this technique in an offline Unity project and it can definitely make an improvement to your game’s run-time efficiency. We’ve applied this technique to Boss Room and other UGS samples as well.If you’re starting out on your own multiplayer journey, then there are a lot of resources that my team at Unity provides to help make it easier for you.I would recommend starting at the Netcode for GameObjects page, where you can familiarize yourself with the package. Next, you can explore NGO through the Galactic Kittenssample or take small steps with bitesize samples.Once you’re on your journey, I recommend joining the Unity Multiplayer Networking Discord server and checking out the forums. And, if you feel like Galactic Kittens is too simple or not enough of a challenge, I would definitely encourage you to check out Boss Room, which is a complete 3D sample game that takes NGO development to a production-ready level.For taking your game online, Unity Gaming Services can help you even further – whether you’re looking to add the Lobby or Matchmaker services, voice and text chat with Vivox, or even hosting solutions like the P2P Relay service or Game Server Hosting. Happy creating!To find out more about recent trends and the future of multiplayer, read the 2022 Unity Multiplayer Report, which aggregates the results of over 1,500 survey responses across the US, UK, Japan, and Korea. #building #first #multiplayer #game #with

UNITY.COM

Building my first multiplayer game with Netcode for GameObjects

My name is Esteban Maldonado and I’m a developer advocate for Unity. My job is to spread the word about Unity Gaming Services and create new educational material so developers can get started with the tools for their own multiplayer development journey.One of those solutions is Netcode for GameObjects (NGO), a first-party, mid-level networking library built for the Unity game engine. A netcode solution is essential in any multiplayer development project.One of the responsibilities of a developer advocate at Unity is to create sample games that showcase our tools, and an NGO sample was assigned to me – Galactic Kittens.However, although I’ve had my good share of professional gigs in the games industry, I personally have little experience making multiplayer games – so this was going to prove to be not just a learning opportunity for developers who use the sample, but also a learning experience for me making the game in the first place.Together with my team, we fleshed out the concept of Galactic Kittens – the difficulty level of the sample, the basic mechanics, the character abilities (which were later removed), and more.In order to tackle this sample game project, I joined forces with the talented team at Bromio in order to make this sample game come to life with polished art assets, music and SFX, and programming support. Our combined goal was to provide developers with a simple, beginner-friendly introduction to building a multiplayer game in Unity with Netcode for GameObjects.In this blog, I’ll cover the development journey for Galactic Kittens, from prototype to stable release, and how you can leverage this sample to start your own multiplayer project.Before I dive into its development, here’s a quick overview of our new sample game Galactic Kittens. This sample is a 2D co-op space adventure designed to help you learn some basics of multiplayer networking.The sample is meant to teach you necessary techniques to get started with multiplayer development, such as:Network session management, with automatic scene switchingBasic 2D movement synchronization, including changes in sprite sheetsSpawning game objects at runtime, on server sideTransferring ownership of the main players from the server to its clientVFX creation across all connected clientsHow to play sound effects and music to all clientsCommunicating player and game stats (health, enemies defeated, etc.) and displaying them on the game’s UIYou can learn more about Galactic Kittens on our website, or download the sample directly from GitHub to get started exploring the code.While I didn’t have too much experience making multiplayer games, Unity does have many public resources to help users get started with using NGO.With these resources, I started very simply by familiarizing myself with basic network concepts and terminology, using our Unity Multiplayer documentation. Next, I followed the Hello World project tutorials and studied available bitesize samples to start getting some results.After some trial and error, I was able to make a simple base prototype from scratch.At this point, there was no custom lobby, no real UI, no real connection management – you get the picture. The prototype was just two equal ships (with three Hit Points each) that moved around the screen and shot a cube bullet when you pressed the spacebar. It was just enough to show object spawning and movement synchronization across clients.It was a start, but I knew that Bromio would help us reach the finish line and turn this into a workable sample.After my initial progress, I started working with Bromio on fleshing out the prototype into something more production-ready. Like me, they did not have much experience making multiplayer games, but they took on the challenge and helped us reach our goal.In order to work more efficiently, we broke down the game into isolated components to start development in parallel – with artists working on assets and programmers working on the core logic of the game.Here’s a peak at the evolution of the art style in Galactic Kittens.Meanwhile, Bromio’s main developer and I were discovering fun and challenging aspects of making Galactic Kittens into a functioning game sample.One of the biggest challenges in development was connection management and character selection. We had to store the data of the characters in separate ScriptableObject files, which you will see when you download the project.These files contain the necessary information about each space explorer, including which sprites (player and ship) to show on the UI and the prefabs that should be spawned for each player once the gameplay scene starts.On the character selection screen, a big challenge was to make sure to acknowledge the event of a client disconnecting and to handle that event through the UI.We decided that users should not be able to pick the same character, in order to show how developers could actually do this in their own games. (It's actually easier to let players pick the same character since there’s no additional restriction.)The next challenge for connection management was the event of players disconnecting in the middle of a game session. This meant not only that the game had to adapt to players leaving, but also had to block other players from entering while a game is in session. We decided to make the connection manager only allow for new connections to come in while the host instance is on the character selection screen. This is not a one-size-fits-all solution – other games may allow for players to join late in an ongoing session, while other games may not – it’s up to developers to decide what’s best for their experience.We wanted to keep gameplay simple, with no complex AI or fancy behavior logic for the enemies or meteorites that players see. This way, we could provide a full game sample without taking away focus from showing users how to use the NGO library.As such, there are two main types of enemies and one meteorite obstacle: Space Shooter Space Ghost MeteoriteBoth enemies choose a random movement pattern, while the Space Shooter enemy is the only one that actually shoots back enemy lasers. Please refer to ourdeveloper guide for more information on how these enemies are built and how you can add your own logic.By the time we worked on the boss battle, all of the lessons learned from implementing the game’s lobby, player spaceship behavior, and simple enemies helped us to quickly build the final boss battle experience.One particular challenge was timing the warning alarm that you hear and see before the boss enters. In the end, we sent events with client and server RPCs in order to signal that the regular play experience was over and the final boss battle was about to begin.The behavior of the boss is structured as a finite state machine (FSM) that randomly selects which set of attacks to throw at the connected players. To do this, we used a C# class called BossController, which handles the transition from one boss state to another. Check the developer guide for information about the code behind this battle, and how you can add your own boss states.The #1 resource that helped us succeed in our mission to build this sample game was joining the Unity Multiplayer Networking Discord server and asking questions to the community. Here, we were able to actually speak with other developers who are making multiplayer games and also speak with Unity multiplayer service creators. The collective pool of knowledge was more than enough to help us reach the finish line.Working at Unity means I get to collaborate alongside networking savvy people who work hard to develop helpful resources and documentation that’s designed to assist everyone get started with multiplayer development. The Unity multiplayer documentation site came in handy many times – from familiarizing myself with basic networking terminology to dealing with latency to actually coding with NGO.We're definitely excited about Galactic Kittens. We’d like for you, and future NGO users, to use this sample as a step in the right direction toward your multiplayer learning journey. Please feel free to reach out in the Discord server or forums to ask questions or provide feedback and suggestions.One of the things I’m eager to learn is how to add object pooling to a multiplayer game sample. This is the technique that lets you pre-allocate the necessary memory for objects that get spawned repeatedly during a game session. In an earlier experiment, I tried this technique in an offline Unity project and it can definitely make an improvement to your game’s run-time efficiency. We’ve applied this technique to Boss Room and other UGS samples as well.If you’re starting out on your own multiplayer journey, then there are a lot of resources that my team at Unity provides to help make it easier for you.I would recommend starting at the Netcode for GameObjects page, where you can familiarize yourself with the package. Next, you can explore NGO through the Galactic Kittenssample or take small steps with bitesize samples.Once you’re on your journey, I recommend joining the Unity Multiplayer Networking Discord server and checking out the forums. And, if you feel like Galactic Kittens is too simple or not enough of a challenge, I would definitely encourage you to check out Boss Room, which is a complete 3D sample game that takes NGO development to a production-ready level.For taking your game online, Unity Gaming Services can help you even further – whether you’re looking to add the Lobby or Matchmaker services, voice and text chat with Vivox, or even hosting solutions like the P2P Relay service or Game Server Hosting. Happy creating!To find out more about recent trends and the future of multiplayer, read the 2022 Unity Multiplayer Report, which aggregates the results of over 1,500 survey responses across the US, UK, Japan, and Korea.

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