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China’s Open AI Models Are Challenging Silicon Valley’s PlaybookThe AI industry is not quite experiencing a DeepSeek 2.0 moment, but it feels very close. The leading Chinese AI labs have been on a roll lately, releasing a series of almost cutting-edge open-source models. Z.ai released GLM 5.2 in June, Moonshot AI released Kimi K3 last week, and Alibaba released Qwen 3.8 this Monday.Silicon Valley and Washington started talking about the models immediately, especially K3, which is widely seen as the best of the bunch. David Sacks, a venture capitalist and AI adviser to President Donald Trump, called the performance of Moonshot’s model “concerning.” Earlier this week, Commerce Secretary Scott Bessent suggested the US might impose sanctions on Chinese AI companies.On Wednesday, Michael Kratsios, director of the White House Office of Science and Technology Policy, alleged that the Trump administration has “information that Moonshot AI distilled Anthropic’s Fable for the development of its K3 model,” which he said amounted to “stealing proprietary US technology and undermining American research” and was “unacceptable.” (Moonshot AI did not immediately respond to a request for comment.)The new Chinese models have a few things in common: Third-party benchmarks show that they perform nearly as well as the best Western models; they are optimized for agentic coding tasks (the hottest thing in AI this year); and they are or will soon be released with open weights, making them accessible and transparent.But perhaps the biggest parallel between the current moment and January 2025—when the world was shocked by DeepSeek’s R1 model—is that it reaffirms how American and Chinese AI labs are taking diverging paths when it comes to being open or closed.When it first burst onto the scene, DeepSeek challenged the premise that only closed-source models built with billions of dollars of investment in compute infrastructure and training could achieve frontier performance. But since then, Western AI labs have continued developing AI the same way, and now American frontier models feel more roped-off than they were a year ago.Anthropic said for months that its latest Mythos model was so dangerously good at hacking that only approved collaborators could use it. When it was finally released more widely, the White House responded by issuing broad export controls, which forced Anthropic to take Mythos and its less capable sister model, Fable 5, offline temporarily. OpenAI similarly delayed the release of GPT 5.6 after it received a request from the White House.In China, meanwhile, the situation looks very different. Chinese startups and tech giants have doubled down on open source: Anyone with a good enough computer environment can now download an open-weight model, run it locally, add customizations, and overall enjoy a much greater degree of freedom than OpenAI and Anthropic would ever allow. In many ways, the open versus closed debate is more entangled with the US versus China debate than ever before.There are a lot of reasons why Chinese labs have chosen a business strategy built atop open-source models. Being the newer, smaller fish in the AI field, making their models free and open can help Chinese firms attract more users, collaborators, and media spotlight. It also puts them in a separate lane of competition from the one that OpenAI, Anthropic, Google, SpaceX, and other deep-pocketed giants are in.Earlier this year, rumors spread that Alibaba might be considering joining the closed-source race after it rearranged its corporate AI model development teams. But the tech giant announced on Monday that it would again release the latest version of Qwen—its line of open-source models beloved by the global tech community—with open weights, signaling to customers and the public it is not pivoting away yet.#Chinas #Open #Models #Challenging #Silicon #Valleys #Playbookchina,open source,alibaba,generative ai,national security,artificial intelligence

China’s Open AI Models Are Challenging Silicon Valley’s Playbook

The AI industry is not quite experiencing a DeepSeek 2.0 moment, but it feels very close. The leading Chinese AI labs have been on a roll lately, releasing a series of almost cutting-edge open-source models. Z.ai released GLM 5.2 in June, Moonshot AI released Kimi K3 last week, and Alibaba released Qwen 3.8 this Monday.

Silicon Valley and Washington started talking about the models immediately, especially K3, which is widely seen as the best of the bunch. David Sacks, a venture capitalist and AI adviser to President Donald Trump, called the performance of Moonshot’s model “concerning.” Earlier this week, Commerce Secretary Scott Bessent suggested the US might impose sanctions on Chinese AI companies.

On Wednesday, Michael Kratsios, director of the White House Office of Science and Technology Policy, alleged that the Trump administration has “information that Moonshot AI distilled Anthropic’s Fable for the development of its K3 model,” which he said amounted to “stealing proprietary US technology and undermining American research” and was “unacceptable.” (Moonshot AI did not immediately respond to a request for comment.)

The new Chinese models have a few things in common: Third-party benchmarks show that they perform nearly as well as the best Western models; they are optimized for agentic coding tasks (the hottest thing in AI this year); and they are or will soon be released with open weights, making them accessible and transparent.

But perhaps the biggest parallel between the current moment and January 2025—when the world was shocked by DeepSeek’s R1 model—is that it reaffirms how American and Chinese AI labs are taking diverging paths when it comes to being open or closed.

When it first burst onto the scene, DeepSeek challenged the premise that only closed-source models built with billions of dollars of investment in compute infrastructure and training could achieve frontier performance. But since then, Western AI labs have continued developing AI the same way, and now American frontier models feel more roped-off than they were a year ago.

Anthropic said for months that its latest Mythos model was so dangerously good at hacking that only approved collaborators could use it. When it was finally released more widely, the White House responded by issuing broad export controls, which forced Anthropic to take Mythos and its less capable sister model, Fable 5, offline temporarily. OpenAI similarly delayed the release of GPT 5.6 after it received a request from the White House.

In China, meanwhile, the situation looks very different. Chinese startups and tech giants have doubled down on open source: Anyone with a good enough computer environment can now download an open-weight model, run it locally, add customizations, and overall enjoy a much greater degree of freedom than OpenAI and Anthropic would ever allow. In many ways, the open versus closed debate is more entangled with the US versus China debate than ever before.

There are a lot of reasons why Chinese labs have chosen a business strategy built atop open-source models. Being the newer, smaller fish in the AI field, making their models free and open can help Chinese firms attract more users, collaborators, and media spotlight. It also puts them in a separate lane of competition from the one that OpenAI, Anthropic, Google, SpaceX, and other deep-pocketed giants are in.

Earlier this year, rumors spread that Alibaba might be considering joining the closed-source race after it rearranged its corporate AI model development teams. But the tech giant announced on Monday that it would again release the latest version of Qwen—its line of open-source models beloved by the global tech community—with open weights, signaling to customers and the public it is not pivoting away yet.

#Chinas #Open #Models #Challenging #Silicon #Valleys #Playbookchina,open source,alibaba,generative ai,national security,artificial intelligence

The AI industry is not quite experiencing a DeepSeek 2.0 moment, but it feels very close. The leading Chinese AI labs have been on a roll lately, releasing a series of almost cutting-edge open-source models. Z.ai released GLM 5.2 in June, Moonshot AI released Kimi K3 last week, and Alibaba released Qwen 3.8 this Monday.

Silicon Valley and Washington started talking about the models immediately, especially K3, which is widely seen as the best of the bunch. David Sacks, a venture capitalist and AI adviser to President Donald Trump, called the performance of Moonshot’s model “concerning.” Earlier this week, Commerce Secretary Scott Bessent suggested the US might impose sanctions on Chinese AI companies.

On Wednesday, Michael Kratsios, director of the White House Office of Science and Technology Policy, alleged that the Trump administration has “information that Moonshot AI distilled Anthropic’s Fable for the development of its K3 model,” which he said amounted to “stealing proprietary US technology and undermining American research” and was “unacceptable.” (Moonshot AI did not immediately respond to a request for comment.)

The new Chinese models have a few things in common: Third-party benchmarks show that they perform nearly as well as the best Western models; they are optimized for agentic coding tasks (the hottest thing in AI this year); and they are or will soon be released with open weights, making them accessible and transparent.

But perhaps the biggest parallel between the current moment and January 2025—when the world was shocked by DeepSeek’s R1 model—is that it reaffirms how American and Chinese AI labs are taking diverging paths when it comes to being open or closed.

When it first burst onto the scene, DeepSeek challenged the premise that only closed-source models built with billions of dollars of investment in compute infrastructure and training could achieve frontier performance. But since then, Western AI labs have continued developing AI the same way, and now American frontier models feel more roped-off than they were a year ago.

Anthropic said for months that its latest Mythos model was so dangerously good at hacking that only approved collaborators could use it. When it was finally released more widely, the White House responded by issuing broad export controls, which forced Anthropic to take Mythos and its less capable sister model, Fable 5, offline temporarily. OpenAI similarly delayed the release of GPT 5.6 after it received a request from the White House.

In China, meanwhile, the situation looks very different. Chinese startups and tech giants have doubled down on open source: Anyone with a good enough computer environment can now download an open-weight model, run it locally, add customizations, and overall enjoy a much greater degree of freedom than OpenAI and Anthropic would ever allow. In many ways, the open versus closed debate is more entangled with the US versus China debate than ever before.

There are a lot of reasons why Chinese labs have chosen a business strategy built atop open-source models. Being the newer, smaller fish in the AI field, making their models free and open can help Chinese firms attract more users, collaborators, and media spotlight. It also puts them in a separate lane of competition from the one that OpenAI, Anthropic, Google, SpaceX, and other deep-pocketed giants are in.

Earlier this year, rumors spread that Alibaba might be considering joining the closed-source race after it rearranged its corporate AI model development teams. But the tech giant announced on Monday that it would again release the latest version of Qwen—its line of open-source models beloved by the global tech community—with open weights, signaling to customers and the public it is not pivoting away yet.

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#Chinas #Open #Models #Challenging #Silicon #Valleys #Playbook

Samsung’s annual summer event kicked off on Wednesday morning with the company unveiling a new lineup of watches and foldables. Following weeks of rumors and leaks, Samsung announced the Galaxy Z Fold 8 with a completely new design that’s shorter and wider than last year’s Fold, a new “Ultra” Fold, an updated Flip model, and refreshed versions of the Galaxy smartwatches.

If you weren’t able to watch the event yourself, you can catch up with all of this year’s biggest Galaxy Unpacked announcements below.

Photo: David Imel / The Verge

The highlight of Galaxy Unpacked was the Galaxy Z Fold 8, which got a major redesign from last year’s Z Fold 7. The new design is shorter and wider, with a 7.6-inch inside display and a 5.5-inch outside display. It’s a tad thicker at 4.5mm unfolded and 9.7mm folded, compared to 4.2mm and 8.9mm, respectively, for the Z Fold 7.

The new Fold also features an updated hinge design with Samsung’s new Flex Titanium display tech. It doesn’t completely eliminate the crease on the inside display, but it does make it significantly less noticeable than the crease on Samsung’s previous foldables. The new Z Fold 8 Ultra and Z Flip 8 also got the Flex Titanium display upgrade.

The Z Fold 8 runs on a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage. The camera setup is a step down from the Z Fold 7 — the Z Fold 8 has two main cameras instead of three, a 50MP wide and a 50MP ultra wide. The cover screen camera and inside camera are both 10MP like the Z Fold 7, though.

The Z Fold 8 starts at $1,899 and comes in four colors: lavender, graphite, cream, and pistachio (for online orders only).

Photo: Dominic Preston / The Verge

While the standard Z Fold 8 got a revamped design, the new Galaxy Z Fold 8 Ultra inherited the design from last year’s Z Fold 7. Samsung’s new top-tier foldable is powered by a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage.

The Ultra features a larger 5,000mAh battery, compared to the 4,400mAh battery in the Z Fold 7. The phone also supports 45W wired charging and 20W wireless charging, an improvement over the Z Fold 7’s 25W wired / 15W wireless charging. The camera setup is similar to the Z Fold 7 with a 200MP wide / 50MP ultra wide / 10MP telephoto main camera and 10MP selfie cameras on the inside and cover displays.

The Z Fold 8 Ultra starts at $2,099 and comes in four colors: graphite, cream, violet shadow, and green shadow (for online orders only).

A hand holding a closed Samsung Galaxy Flip 8, with the front screen on

Photo: David Imel / The Verge

Samsung announced the Galaxy Z Flip 8 with some spec bumps, but no major design changes. It now runs on a Qualcomm Snapdragon 8 Elite Gen 5 processor, an upgrade from the Exynos 2500 chip that powered the previous Z Flip 7. It also includes 12GB of RAM with options for 256GB or 512GB of storage (but still no 1TB option).

Like last year’s model, it has a 6.9-inch inside display and a 4.1-inch cover display, with a 4,300mAh battery. While it looks the same overall, the cover display is a bit more versatile now thanks to a few new gestures and access to an app drawer. It’s also slightly thinner at 13.1mm folded and 6.1mm unfolded. Unfortunately, it’s also $100 more expensive than the Flip 7, starting at $1,199. The phone comes in four colors: pink, graphite, cream, and mint (for online orders only).

Photo: Dominic Preston / The Verge

The Galaxy Watch got a refresh at Galaxy Unpacked with a new processor, Qualcomm’s Snapdragon Wear Elite. It once again comes in two sizes, 44mm and 40mm. The larger 44mm model has a 1.47-inch display and a 445mAh battery, while the 40mm version includes a slightly smaller 1.34-inch display and a 390mAh battery. Samsung says both sizes can last up to 30 hours per charge with the always-on display turned on. Both also include 2GB of RAM and 32GB of storage.

In addition to spec improvements, the highlight of this year’s Galaxy Watch refresh are four new preventative health metrics: Vitals, Heart Health Score, Daily Cardio Load, and Fitness Index. All four will also be available on the new Galaxy Watch Ultra 2, and may help Samsung’s smartwatches compete with Apple’s wearables.

Unfortunately, the Galaxy Watch 9 got a $30 price bump from last year, so it now starts at $379. The 44mm version comes in graphite and silver while the 40mm one is available in graphite and cream.

The new Galaxy Watch Ultra 2 packs an impressive battery

Photo: Dominic Preston / The Verge

Samsung announced the Galaxy Watch Ultra 2, not to be confused with the second-generation version of the original Galaxy Watch Ultra from last year. The new Ultra includes a significantly larger battery at a whopping 800mAh, up from 590mAh in last year’s Ultra, which somehow fits into a case that’s 12 percent thinner than the previous model. Samsung says it can last up to 60 hours per charge with the always-on display turned on. The updated Ultra is also getting the same new preventative health metrics as the base Galaxy Watch.

The Galaxy Watch Ultra 2 runs on a Qualcomm Snapdragon Wear Elite with 2GB of RAM and 64GB of storage. Like the previous version, it’s available in just one size, 47mm, with a 1.52-inch display. The Galaxy Watch Ultra 2 also got a $50 price hike, bringing it up to $699, with two color options, titanium silver and titanium gray.

Google also made an appearance at this year’s Galaxy Unpacked with a couple of new frames for the upcoming smartglasses it’s making in collaboration with Samsung. It unveiled new designs from Gentle Monster and Warby Parker, following two earlier designs from both brands announced in May at Google I/O. The first pairs of Google’s smartglasses are expected to launch later this year.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#Samsung #Galaxy #Unpacked #biggest #announcementsFoldable Phones,Mobile,News,Samsung,Tech">Samsung Galaxy Unpacked 2026: The 6 biggest announcementsSamsung’s annual summer event kicked off on Wednesday morning with the company unveiling a new lineup of watches and foldables. Following weeks of rumors and leaks, Samsung announced the Galaxy Z Fold 8 with a completely new design that’s shorter and wider than last year’s Fold, a new “Ultra” Fold, an updated Flip model, and refreshed versions of the Galaxy smartwatches.If you weren’t able to watch the event yourself, you can catch up with all of this year’s biggest Galaxy Unpacked announcements below.Photo: David Imel / The VergeThe highlight of Galaxy Unpacked was the Galaxy Z Fold 8, which got a major redesign from last year’s Z Fold 7. The new design is shorter and wider, with a 7.6-inch inside display and a 5.5-inch outside display. It’s a tad thicker at 4.5mm unfolded and 9.7mm folded, compared to 4.2mm and 8.9mm, respectively, for the Z Fold 7.The new Fold also features an updated hinge design with Samsung’s new Flex Titanium display tech. It doesn’t completely eliminate the crease on the inside display, but it does make it significantly less noticeable than the crease on Samsung’s previous foldables. The new Z Fold 8 Ultra and Z Flip 8 also got the Flex Titanium display upgrade.The Z Fold 8 runs on a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage. The camera setup is a step down from the Z Fold 7 — the Z Fold 8 has two main cameras instead of three, a 50MP wide and a 50MP ultra wide. The cover screen camera and inside camera are both 10MP like the Z Fold 7, though.The Z Fold 8 starts at ,899 and comes in four colors: lavender, graphite, cream, and pistachio (for online orders only).Photo: Dominic Preston / The VergeWhile the standard Z Fold 8 got a revamped design, the new Galaxy Z Fold 8 Ultra inherited the design from last year’s Z Fold 7. Samsung’s new top-tier foldable is powered by a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage.The Ultra features a larger 5,000mAh battery, compared to the 4,400mAh battery in the Z Fold 7. The phone also supports 45W wired charging and 20W wireless charging, an improvement over the Z Fold 7’s 25W wired / 15W wireless charging. The camera setup is similar to the Z Fold 7 with a 200MP wide / 50MP ultra wide / 10MP telephoto main camera and 10MP selfie cameras on the inside and cover displays.The Z Fold 8 Ultra starts at ,099 and comes in four colors: graphite, cream, violet shadow, and green shadow (for online orders only).Photo: David Imel / The VergeSamsung announced the Galaxy Z Flip 8 with some spec bumps, but no major design changes. It now runs on a Qualcomm Snapdragon 8 Elite Gen 5 processor, an upgrade from the Exynos 2500 chip that powered the previous Z Flip 7. It also includes 12GB of RAM with options for 256GB or 512GB of storage (but still no 1TB option).Like last year’s model, it has a 6.9-inch inside display and a 4.1-inch cover display, with a 4,300mAh battery. While it looks the same overall, the cover display is a bit more versatile now thanks to a few new gestures and access to an app drawer. It’s also slightly thinner at 13.1mm folded and 6.1mm unfolded. Unfortunately, it’s also 0 more expensive than the Flip 7, starting at ,199. The phone comes in four colors: pink, graphite, cream, and mint (for online orders only).Photo: Dominic Preston / The VergeThe Galaxy Watch got a refresh at Galaxy Unpacked with a new processor, Qualcomm’s Snapdragon Wear Elite. It once again comes in two sizes, 44mm and 40mm. The larger 44mm model has a 1.47-inch display and a 445mAh battery, while the 40mm version includes a slightly smaller 1.34-inch display and a 390mAh battery. Samsung says both sizes can last up to 30 hours per charge with the always-on display turned on. Both also include 2GB of RAM and 32GB of storage.In addition to spec improvements, the highlight of this year’s Galaxy Watch refresh are four new preventative health metrics: Vitals, Heart Health Score, Daily Cardio Load, and Fitness Index. All four will also be available on the new Galaxy Watch Ultra 2, and may help Samsung’s smartwatches compete with Apple’s wearables.Unfortunately, the Galaxy Watch 9 got a  price bump from last year, so it now starts at 9. The 44mm version comes in graphite and silver while the 40mm one is available in graphite and cream.The new Galaxy Watch Ultra 2 packs an impressive batteryPhoto: Dominic Preston / The VergeSamsung announced the Galaxy Watch Ultra 2, not to be confused with the second-generation version of the original Galaxy Watch Ultra from last year. The new Ultra includes a significantly larger battery at a whopping 800mAh, up from 590mAh in last year’s Ultra, which somehow fits into a case that’s 12 percent thinner than the previous model. Samsung says it can last up to 60 hours per charge with the always-on display turned on. The updated Ultra is also getting the same new preventative health metrics as the base Galaxy Watch.The Galaxy Watch Ultra 2 runs on a Qualcomm Snapdragon Wear Elite with 2GB of RAM and 64GB of storage. Like the previous version, it’s available in just one size, 47mm, with a 1.52-inch display. The Galaxy Watch Ultra 2 also got a  price hike, bringing it up to 9, with two color options, titanium silver and titanium gray.Google also made an appearance at this year’s Galaxy Unpacked with a couple of new frames for the upcoming smartglasses it’s making in collaboration with Samsung. It unveiled new designs from Gentle Monster and Warby Parker, following two earlier designs from both brands announced in May at Google I/O. The first pairs of Google’s smartglasses are expected to launch later this year.Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.Stevie BonifieldCloseStevie BonifieldPosts from this author will be added to your daily email digest and your homepage feed.FollowFollowSee All by Stevie BonifieldFoldable PhonesCloseFoldable PhonesPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All Foldable PhonesMobileCloseMobilePosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All MobileNewsCloseNewsPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All NewsSamsungCloseSamsungPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All SamsungTechCloseTechPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All Tech#Samsung #Galaxy #Unpacked #biggest #announcementsFoldable Phones,Mobile,News,Samsung,Tech

Photo: David Imel / The Verge

The highlight of Galaxy Unpacked was the Galaxy Z Fold 8, which got a major redesign from last year’s Z Fold 7. The new design is shorter and wider, with a 7.6-inch inside display and a 5.5-inch outside display. It’s a tad thicker at 4.5mm unfolded and 9.7mm folded, compared to 4.2mm and 8.9mm, respectively, for the Z Fold 7.

The new Fold also features an updated hinge design with Samsung’s new Flex Titanium display tech. It doesn’t completely eliminate the crease on the inside display, but it does make it significantly less noticeable than the crease on Samsung’s previous foldables. The new Z Fold 8 Ultra and Z Flip 8 also got the Flex Titanium display upgrade.

The Z Fold 8 runs on a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage. The camera setup is a step down from the Z Fold 7 — the Z Fold 8 has two main cameras instead of three, a 50MP wide and a 50MP ultra wide. The cover screen camera and inside camera are both 10MP like the Z Fold 7, though.

The Z Fold 8 starts at $1,899 and comes in four colors: lavender, graphite, cream, and pistachio (for online orders only).

Photo: Dominic Preston / The Verge

While the standard Z Fold 8 got a revamped design, the new Galaxy Z Fold 8 Ultra inherited the design from last year’s Z Fold 7. Samsung’s new top-tier foldable is powered by a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage.

The Ultra features a larger 5,000mAh battery, compared to the 4,400mAh battery in the Z Fold 7. The phone also supports 45W wired charging and 20W wireless charging, an improvement over the Z Fold 7’s 25W wired / 15W wireless charging. The camera setup is similar to the Z Fold 7 with a 200MP wide / 50MP ultra wide / 10MP telephoto main camera and 10MP selfie cameras on the inside and cover displays.

The Z Fold 8 Ultra starts at $2,099 and comes in four colors: graphite, cream, violet shadow, and green shadow (for online orders only).

A hand holding a closed Samsung Galaxy Flip 8, with the front screen on

Photo: David Imel / The Verge

Samsung announced the Galaxy Z Flip 8 with some spec bumps, but no major design changes. It now runs on a Qualcomm Snapdragon 8 Elite Gen 5 processor, an upgrade from the Exynos 2500 chip that powered the previous Z Flip 7. It also includes 12GB of RAM with options for 256GB or 512GB of storage (but still no 1TB option).

Like last year’s model, it has a 6.9-inch inside display and a 4.1-inch cover display, with a 4,300mAh battery. While it looks the same overall, the cover display is a bit more versatile now thanks to a few new gestures and access to an app drawer. It’s also slightly thinner at 13.1mm folded and 6.1mm unfolded. Unfortunately, it’s also $100 more expensive than the Flip 7, starting at $1,199. The phone comes in four colors: pink, graphite, cream, and mint (for online orders only).

Photo: Dominic Preston / The Verge

The Galaxy Watch got a refresh at Galaxy Unpacked with a new processor, Qualcomm’s Snapdragon Wear Elite. It once again comes in two sizes, 44mm and 40mm. The larger 44mm model has a 1.47-inch display and a 445mAh battery, while the 40mm version includes a slightly smaller 1.34-inch display and a 390mAh battery. Samsung says both sizes can last up to 30 hours per charge with the always-on display turned on. Both also include 2GB of RAM and 32GB of storage.

In addition to spec improvements, the highlight of this year’s Galaxy Watch refresh are four new preventative health metrics: Vitals, Heart Health Score, Daily Cardio Load, and Fitness Index. All four will also be available on the new Galaxy Watch Ultra 2, and may help Samsung’s smartwatches compete with Apple’s wearables.

Unfortunately, the Galaxy Watch 9 got a $30 price bump from last year, so it now starts at $379. The 44mm version comes in graphite and silver while the 40mm one is available in graphite and cream.

The new Galaxy Watch Ultra 2 packs an impressive battery

Photo: Dominic Preston / The Verge

Samsung announced the Galaxy Watch Ultra 2, not to be confused with the second-generation version of the original Galaxy Watch Ultra from last year. The new Ultra includes a significantly larger battery at a whopping 800mAh, up from 590mAh in last year’s Ultra, which somehow fits into a case that’s 12 percent thinner than the previous model. Samsung says it can last up to 60 hours per charge with the always-on display turned on. The updated Ultra is also getting the same new preventative health metrics as the base Galaxy Watch.

The Galaxy Watch Ultra 2 runs on a Qualcomm Snapdragon Wear Elite with 2GB of RAM and 64GB of storage. Like the previous version, it’s available in just one size, 47mm, with a 1.52-inch display. The Galaxy Watch Ultra 2 also got a $50 price hike, bringing it up to $699, with two color options, titanium silver and titanium gray.

Google also made an appearance at this year’s Galaxy Unpacked with a couple of new frames for the upcoming smartglasses it’s making in collaboration with Samsung. It unveiled new designs from Gentle Monster and Warby Parker, following two earlier designs from both brands announced in May at Google I/O. The first pairs of Google’s smartglasses are expected to launch later this year.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.

#Samsung #Galaxy #Unpacked #biggest #announcementsFoldable Phones,Mobile,News,Samsung,Tech">Samsung Galaxy Unpacked 2026: The 6 biggest announcements

Samsung’s annual summer event kicked off on Wednesday morning with the company unveiling a new lineup of watches and foldables. Following weeks of rumors and leaks, Samsung announced the Galaxy Z Fold 8 with a completely new design that’s shorter and wider than last year’s Fold, a new “Ultra” Fold, an updated Flip model, and refreshed versions of the Galaxy smartwatches.

If you weren’t able to watch the event yourself, you can catch up with all of this year’s biggest Galaxy Unpacked announcements below.

Photo: David Imel / The Verge

The highlight of Galaxy Unpacked was the Galaxy Z Fold 8, which got a major redesign from last year’s Z Fold 7. The new design is shorter and wider, with a 7.6-inch inside display and a 5.5-inch outside display. It’s a tad thicker at 4.5mm unfolded and 9.7mm folded, compared to 4.2mm and 8.9mm, respectively, for the Z Fold 7.

The new Fold also features an updated hinge design with Samsung’s new Flex Titanium display tech. It doesn’t completely eliminate the crease on the inside display, but it does make it significantly less noticeable than the crease on Samsung’s previous foldables. The new Z Fold 8 Ultra and Z Flip 8 also got the Flex Titanium display upgrade.

The Z Fold 8 runs on a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage. The camera setup is a step down from the Z Fold 7 — the Z Fold 8 has two main cameras instead of three, a 50MP wide and a 50MP ultra wide. The cover screen camera and inside camera are both 10MP like the Z Fold 7, though.

The Z Fold 8 starts at $1,899 and comes in four colors: lavender, graphite, cream, and pistachio (for online orders only).

Photo: Dominic Preston / The Verge

While the standard Z Fold 8 got a revamped design, the new Galaxy Z Fold 8 Ultra inherited the design from last year’s Z Fold 7. Samsung’s new top-tier foldable is powered by a Qualcomm Snapdragon 8 Elite Gen 5 for Galaxy with up to 16GB of RAM and 1TB of storage.

The Ultra features a larger 5,000mAh battery, compared to the 4,400mAh battery in the Z Fold 7. The phone also supports 45W wired charging and 20W wireless charging, an improvement over the Z Fold 7’s 25W wired / 15W wireless charging. The camera setup is similar to the Z Fold 7 with a 200MP wide / 50MP ultra wide / 10MP telephoto main camera and 10MP selfie cameras on the inside and cover displays.

The Z Fold 8 Ultra starts at $2,099 and comes in four colors: graphite, cream, violet shadow, and green shadow (for online orders only).

A hand holding a closed Samsung Galaxy Flip 8, with the front screen on

Photo: David Imel / The Verge

Samsung announced the Galaxy Z Flip 8 with some spec bumps, but no major design changes. It now runs on a Qualcomm Snapdragon 8 Elite Gen 5 processor, an upgrade from the Exynos 2500 chip that powered the previous Z Flip 7. It also includes 12GB of RAM with options for 256GB or 512GB of storage (but still no 1TB option).

Like last year’s model, it has a 6.9-inch inside display and a 4.1-inch cover display, with a 4,300mAh battery. While it looks the same overall, the cover display is a bit more versatile now thanks to a few new gestures and access to an app drawer. It’s also slightly thinner at 13.1mm folded and 6.1mm unfolded. Unfortunately, it’s also $100 more expensive than the Flip 7, starting at $1,199. The phone comes in four colors: pink, graphite, cream, and mint (for online orders only).

Photo: Dominic Preston / The Verge

The Galaxy Watch got a refresh at Galaxy Unpacked with a new processor, Qualcomm’s Snapdragon Wear Elite. It once again comes in two sizes, 44mm and 40mm. The larger 44mm model has a 1.47-inch display and a 445mAh battery, while the 40mm version includes a slightly smaller 1.34-inch display and a 390mAh battery. Samsung says both sizes can last up to 30 hours per charge with the always-on display turned on. Both also include 2GB of RAM and 32GB of storage.

In addition to spec improvements, the highlight of this year’s Galaxy Watch refresh are four new preventative health metrics: Vitals, Heart Health Score, Daily Cardio Load, and Fitness Index. All four will also be available on the new Galaxy Watch Ultra 2, and may help Samsung’s smartwatches compete with Apple’s wearables.

Unfortunately, the Galaxy Watch 9 got a $30 price bump from last year, so it now starts at $379. The 44mm version comes in graphite and silver while the 40mm one is available in graphite and cream.

The new Galaxy Watch Ultra 2 packs an impressive battery

Photo: Dominic Preston / The Verge

Samsung announced the Galaxy Watch Ultra 2, not to be confused with the second-generation version of the original Galaxy Watch Ultra from last year. The new Ultra includes a significantly larger battery at a whopping 800mAh, up from 590mAh in last year’s Ultra, which somehow fits into a case that’s 12 percent thinner than the previous model. Samsung says it can last up to 60 hours per charge with the always-on display turned on. The updated Ultra is also getting the same new preventative health metrics as the base Galaxy Watch.

The Galaxy Watch Ultra 2 runs on a Qualcomm Snapdragon Wear Elite with 2GB of RAM and 64GB of storage. Like the previous version, it’s available in just one size, 47mm, with a 1.52-inch display. The Galaxy Watch Ultra 2 also got a $50 price hike, bringing it up to $699, with two color options, titanium silver and titanium gray.

Google also made an appearance at this year’s Galaxy Unpacked with a couple of new frames for the upcoming smartglasses it’s making in collaboration with Samsung. It unveiled new designs from Gentle Monster and Warby Parker, following two earlier designs from both brands announced in May at Google I/O. The first pairs of Google’s smartglasses are expected to launch later this year.

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Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices.

The Palo Alto-headquartered startup on Wednesday said it raised $180 million in an all-equity Series A funding round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.

As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints — from employee laptops to servers and other connected devices. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is betting that this shift requires a new approach to endpoint security.

Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies.

“If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we’ve never seen,” co-founder and chief executive Roi Tiger (pictured above, center) said in an interview.

Tiger, a former Meta vice president of engineering, co-founded Glow alongside former Snowflake cybersecurity strategy head Omer Singer (pictured above, left), former Claroty vice president of research and development Ophir Arie (pictured above, right), and former Meta engineering leader Arnon Joseph. The startup’s leadership team also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on the board of Wiz through its $32 billion acquisition by Google and was previously a partner at Cyberstarts.

Even though it has only just emerged from stealth, Glow said it already has paying customers across industries including healthcare, retail, and financial services. However, it declined to disclose customer names and numbers. The startup’s typical deployments, Tiger said, span tens of thousands of employee devices across global organizations.

To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch.

Glow’s platform, Tiger said, has already prevented malicious npm packages, third-party software components used to build applications, from being installed in customer environments, identified AI agents attempting to pull in such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality.

Glow enters a crowded endpoint security market dominated by companies including CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place.

The startup employs nearly 100 people, about 70% of whom are in Israel and the remainder in the U.S. Whether AI-native endpoint security platforms become a distinct category remains to be seen, as enterprises are only beginning to grapple with the security implications of increasingly capable AI models.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Glow #emerges #stealth #1.2B #valuation #challenge #endpoint #security #era #TechCrunchGlow,redpoint ventures,Sequoia Capital,Meta,Greenoaks Capital,cyberstarts">Glow emerges from stealth at .2B valuation to challenge endpoint security in the AI era | TechCrunch
Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices.

The Palo Alto-headquartered startup on Wednesday said it raised 0 million in an all-equity Series A funding round that valued it at .2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.







As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints — from employee laptops to servers and other connected devices. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is betting that this shift requires a new approach to endpoint security.

Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies.

“If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we’ve never seen,” co-founder and chief executive Roi Tiger (pictured above, center) said in an interview.

Tiger, a former Meta vice president of engineering, co-founded Glow alongside former Snowflake cybersecurity strategy head Omer Singer (pictured above, left), former Claroty vice president of research and development Ophir Arie (pictured above, right), and former Meta engineering leader Arnon Joseph. The startup’s leadership team also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on the board of Wiz through its  billion acquisition by Google and was previously a partner at Cyberstarts.

Even though it has only just emerged from stealth, Glow said it already has paying customers across industries including healthcare, retail, and financial services. However, it declined to disclose customer names and numbers. The startup’s typical deployments, Tiger said, span tens of thousands of employee devices across global organizations.


To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch.

Glow’s platform, Tiger said, has already prevented malicious npm packages, third-party software components used to build applications, from being installed in customer environments, identified AI agents attempting to pull in such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality.

Glow enters a crowded endpoint security market dominated by companies including CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place.







The startup employs nearly 100 people, about 70% of whom are in Israel and the remainder in the U.S. Whether AI-native endpoint security platforms become a distinct category remains to be seen, as enterprises are only beginning to grapple with the security implications of increasingly capable AI models.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Glow #emerges #stealth #1.2B #valuation #challenge #endpoint #security #era #TechCrunchGlow,redpoint ventures,Sequoia Capital,Meta,Greenoaks Capital,cyberstarts

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices.

The Palo Alto-headquartered startup on Wednesday said it raised $180 million in an all-equity Series A funding round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.

As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints — from employee laptops to servers and other connected devices. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is betting that this shift requires a new approach to endpoint security.

Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies.

“If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we’ve never seen,” co-founder and chief executive Roi Tiger (pictured above, center) said in an interview.

Tiger, a former Meta vice president of engineering, co-founded Glow alongside former Snowflake cybersecurity strategy head Omer Singer (pictured above, left), former Claroty vice president of research and development Ophir Arie (pictured above, right), and former Meta engineering leader Arnon Joseph. The startup’s leadership team also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on the board of Wiz through its $32 billion acquisition by Google and was previously a partner at Cyberstarts.

Even though it has only just emerged from stealth, Glow said it already has paying customers across industries including healthcare, retail, and financial services. However, it declined to disclose customer names and numbers. The startup’s typical deployments, Tiger said, span tens of thousands of employee devices across global organizations.

To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch.

Glow’s platform, Tiger said, has already prevented malicious npm packages, third-party software components used to build applications, from being installed in customer environments, identified AI agents attempting to pull in such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality.

Glow enters a crowded endpoint security market dominated by companies including CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place.

The startup employs nearly 100 people, about 70% of whom are in Israel and the remainder in the U.S. Whether AI-native endpoint security platforms become a distinct category remains to be seen, as enterprises are only beginning to grapple with the security implications of increasingly capable AI models.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Glow #emerges #stealth #1.2B #valuation #challenge #endpoint #security #era #TechCrunchGlow,redpoint ventures,Sequoia Capital,Meta,Greenoaks Capital,cyberstarts">Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era | TechCrunch

Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth as a unicorn, betting that artificial intelligence is reshaping how enterprises secure employee devices.

The Palo Alto-headquartered startup on Wednesday said it raised $180 million in an all-equity Series A funding round that valued it at $1.2 billion, with backing from Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, alongside participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. The investment made Glow one of the latest cybersecurity startups to achieve unicorn status before publicly disclosing revenue metrics.

As more enterprises deploy AI tools and attackers increasingly use generative AI to automate phishing, develop malware, and launch more sophisticated cyberattacks, companies are rethinking how they secure endpoints — from employee laptops to servers and other connected devices. Concerns have intensified since Anthropic unveiled its Mythos AI model, which the company said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, prompting broader debate over AI-assisted cyberattacks. Glow is betting that this shift requires a new approach to endpoint security.

Founded in 2025, Glow is building an endpoint security platform that helps enterprises monitor and control the software, AI agents, and developer tools running on employee devices. The startup said the platform uses specialized AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies.

“If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we’ve never seen,” co-founder and chief executive Roi Tiger (pictured above, center) said in an interview.

Tiger, a former Meta vice president of engineering, co-founded Glow alongside former Snowflake cybersecurity strategy head Omer Singer (pictured above, left), former Claroty vice president of research and development Ophir Arie (pictured above, right), and former Meta engineering leader Arnon Joseph. The startup’s leadership team also includes chief operating officer Emily Heath, a former chief information security officer at United Airlines and DocuSign who served on the board of Wiz through its $32 billion acquisition by Google and was previously a partner at Cyberstarts.

Even though it has only just emerged from stealth, Glow said it already has paying customers across industries including healthcare, retail, and financial services. However, it declined to disclose customer names and numbers. The startup’s typical deployments, Tiger said, span tens of thousands of employee devices across global organizations.

To power the platform, Glow uses AI models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software to provide the models with enterprise context and improve their reliability for security tasks, Tiger told TechCrunch.

Glow’s platform, Tiger said, has already prevented malicious npm packages, third-party software components used to build applications, from being installed in customer environments, identified AI agents attempting to pull in such software, and detected employee devices where endpoint detection and response tools were missing or operating with reduced functionality.

Glow enters a crowded endpoint security market dominated by companies including CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Tiger said existing endpoint detection and response products focus primarily on detecting threats after they emerge, whereas Glow is designed to prevent risky software, AI agents, and developer tools from entering enterprise environments in the first place.

The startup employs nearly 100 people, about 70% of whom are in Israel and the remainder in the U.S. Whether AI-native endpoint security platforms become a distinct category remains to be seen, as enterprises are only beginning to grapple with the security implications of increasingly capable AI models.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Glow #emerges #stealth #1.2B #valuation #challenge #endpoint #security #era #TechCrunchGlow,redpoint ventures,Sequoia Capital,Meta,Greenoaks Capital,cyberstarts

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