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Microsoft is cautiously onboarding Grok 4 following Hitler concerns

Microsoft is cautiously onboarding Grok 4 following Hitler concerns

Earlier this year, Microsoft CEO Satya Nadella moved with haste to get engineers to test and deploy DeepSeek’s R1 model on Azure AI Foundry. It was an unusually quick turnaround for a new model on Azure that also set a new bar for success.

A few months later, Nadella then pushed to onboard xAI’s Grok 3 models, in a deal that saw them arrive on Azure AI Foundry just in time for the first day of Microsoft’s Build developer conference in May. Elon Musk even appeared during Nadella’s Build keynote, in a somewhat jovial conversation about his early days as a Microsoft intern — despite Musk making Microsoft a defendant in his lawsuit against OpenAI.

I’m now hearing from sources familiar with Microsoft’s AI plans that the company is taking a far more careful approach with onboarding xAI’s latest Grok 4 model, after quickly onboarding models from competitors like OpenAI, Meta, and Mistral.

Musk introduced Grok 4 early last month, just days after the Grok chatbot spewed out a series of pro-Hitler views on X. I’m told that Grok’s Nazi sympathizing set off alarm bells inside Microsoft, just as the company was preparing to launch Grok 4 on Azure AI Foundry. Instead of simultaneously shipping Grok 4 on Azure, like Microsoft does with most of OpenAI’s new models, there has been no public announcement of when xAI’s new model will be available through Microsoft’s AI services.

I understand Microsoft has been red teaming Grok 4 throughout July, a process where teams attack AI systems to find vulnerabilities or safety issues. One source described some of the early red team reports for Grok 4 as “very ugly.”

Instead of launching Grok 4 to all Azure AI Foundry customers, Microsoft is now working on a private preview of the model — just as Grok hits the headlines again for generating Taylor Swift nudes. This preview will only be available for a handful of customers, I’m told, as Microsoft wants to ensure Grok 4 is enterprise ready.

I asked Microsoft to comment on its Grok 4 plans for Azure AI Foundry, but the company refused to provide a statement that’s attributable to a named spokesperson.

Grok 4 availability on Azure AI Foundry is important to xAI, as it gives Elon Musk’s AI company direct access to Microsoft’s enterprise customers. It’s equally important to Microsoft, as the company is keen to position itself as the AI model hosting company. Microsoft’s circumspect approach with the Grok 4 preview means it’s unlikely that we’ll see xAI’s latest model appear more broadly on Azure AI Foundry anytime soon.

Agent 365 is now an official Microsoft product

Microsoft announced another AI shake-up this week, affecting Charles Lamanna’s Business & Industry Copilot (BIC) teams. In June, the BIC team moved closer to the Microsoft 365 Copilot side of the company, with Lamanna reporting up to Rajesh Jha, Microsoft’s head of experiences and devices.

In an internal memo yesterday, Lamanna announced some BIC leadership changes that will see Microsoft make Agent 365 an “official product initiative.” Agent 365 sounds like a way for Microsoft to focus on the challenges of AI agent security and compliance while it scales these agents across Teams, Outlook, and SharePoint. The Agent 365 initiative will be led by Nirav Shah, a 24-year veteran at Microsoft.

Microsoft is also combining parts of its Power Automate and Copilot Studio teams together. “Agent flows and CUA from Power Automate will move to Copilot Studio under Dan Lewis,” says Lamanna in his memo. Some other Power Automate employees will now be part of Microsoft’s Power Platform team.

Finally, the BIC team is also creating “Microsoft Forward Deployed Engineers (FDEs).” These are technical experts who work directly with Microsoft’s customers to get them to activate AI products. The FDE announcement comes amid Microsoft’s layoffs that have targeted sales teams as part of a broader restructuring effort to bring in more technical salespeople to better demonstrate AI tools to businesses.

“Forward Deployed Engineers are quickly becoming essential to large scale AI transformations, as seen at companies like Plantir and OpenAI,” says Lamanna. “Just as we are changing the way we do software and product development, Microsoft will need to adopt this new way of delivering AI solutions to customers.”

  • Microsoft reports strong cloud earnings, with Windows and Xbox up, too. Microsoft’s earnings last week sent the stock price soaring to the point where it briefly became the second $4 trillion company. The better-than-expected earnings included Microsoft reporting its Azure revenue for the first time. Azure generated more than $75 billion in revenue during the 2025 fiscal year. Xbox also had a good quarter, with content and services revenue up 13 percent and overall gaming revenue up 10 percent year over year. Xbox hardware is still struggling, though, with hardware revenues down 22 percent this quarter.
  • Satya Nadella was good for his $80 billion. Earlier this year, there was a lot of doubt over the $100 billion in funding behind The Stargate Project, and Nadella was quick to defend Microsoft’s own investment in cloud and AI data center projects. “I’m good for my $80 billion,” said Nadella at the time. Microsoft is now spending $30 billion on its AI infrastructure investments next quarter, which totals $120 billion over a year if it keeps that spending up each quarter.
  • OpenAI’s new GPT-5 model arrives today. Microsoft-owned GitHub spilled the beans on GPT-5 a little early, just as OpenAI teases a release during a “LIVE5TREAM” at 10AM PT / 1PM ET today. Expect to see four new model variants, with “enhanced agentic capabilities” and the ability for GPT-5 to handle “complex coding tasks with minimal prompting.” If GitHub is ready with GPT-5, then you can bet that Copilot and Azure AI Foundry will also be ready with GPT-5 later today.
  • Hey Microsoft, is it ‘Xbox PC’ or ‘Xbox on PC’? Microsoft has been using the “Xbox PC” and “Xbox on PC” branding terms recently, and it looks like the company has finally settled on Xbox on PC. It’s a new approach to advertising that games are available on Microsoft’s Xbox app on PC, and a new way to compete with Steam. The Xbox on PC branding isn’t too different from just Xbox PC, but it’s a subtle change that makes it sound more like you’re getting Xbox games on PC rather than needing some kind of Xbox PC hardware. Either way, Microsoft still faces challenges convincing consumers to opt for Xbox games on PC over simply buying them on Steam.
  • Microsoft’s Windows XP Crocs are no joke. Microsoft has created limited-edition Windows XP-themed Crocs based on the classic Bliss wallpaper. They even come with Clippy and Recycle Bin shoe charms. They’re currently available for Microsoft employees to preorder for $80, ahead of a “worldwide launch.”
  • Microsoft has an AI agent that can detect malware. Microsoft announced Project Ire this week, an autonomous AI agent that can analyze and classify malware without assistance. Developed by Microsoft Research, Microsoft Defender Research, and Microsoft Discovery & Quantum, Project Ire is the first agent at Microsoft to independently author a conviction case “strong enough to justify automatic blocking” of an APT malware sample.
  • Microsoft’s plan to fix the web with AI has already hit an embarrassing security flaw. Researchers have already found a critical vulnerability in the new NLWeb protocol Microsoft made a big deal about just a few months ago at Build. NLWeb offers ChatGPT-like search for any website or app, but security researchers have discovered an embarrassing flaw just as Microsoft is deploying the new protocol with customers like Shopify, Snowlake, and TripAdvisor. Anyone could read sensitive files, including system configuration files and even OpenAI or Gemini API keys. Microsoft has now patched the flaw but is refusing to issue a CVE, an industry standard for classifying vulnerabilities.
  • Microsoft makes OpenAI’s new open model available on Windows. OpenAI released a new, free and open GPT model earlier this week that can run on a PC. Microsoft was quick to make it easy to run on Windows, with the lightweight gpt-oss-20b model now available on Windows AI Foundry. You’ll need a PC or laptop with at least 16GB of VRAM, and the gpt-oss-20b model is optimized for code execution and tool use. Microsoft says it’s “perfect for building autonomous assistants or embedding AI into real-world workflows, even in bandwidth-constrained environments.” Microsoft is also working on a macOS release.
  • Nvidia will support GeForce drivers on Windows 10 until October 2026. Microsoft is ending support for Windows 10 in October, but Nvidia is committed to continue releasing its new GeForce Game Ready drivers until October 2026. That matches the year of extended security updates that Microsoft will offer consumers, and will ensure Windows 10 users continue receiving the latest optimizations for new games and apps.
  • Bing made Google dance and then stole some search traffic. Microsoft CEO Satya Nadella wanted to make Google dance two years ago, with an AI overhaul of Bing that was designed to steal Google’s all-important search market share. Now, there are plenty of signs that Microsoft has successfully taken search share off Google, both in the US and worldwide. Comscore and Statcounter both note that Bing has increased its search share by a small percentage on desktop. That could mean Microsoft’s tricks to keep people using Edge and Bing as defaults are having an impact on its search share.
  • Microsoft is ending Windows 11 SE, its ChromeOS competitor. Microsoft is ending support for Windows 11 SE next year, five years after it launched the operating system on low-cost laptops that were designed to compete with Google Chromebooks. Windows 11 SE was only available on devices for schools, but it was designed to keep Microsoft’s education customers from switching to ChromeOS. As demand tails off for Chromebooks, Microsoft isn’t chasing Google’s low-cost laptops quite as hard as it once was.
  • 8BitDo’s first wireless Xbox controller is a surprise Rare collaboration. I was surprised to see Xbox game studio Rare team up with 8BitDo, and not Microsoft, for a special anniversary edition Xbox controller. The officially licensed controller features a gold and blue design, with plenty of Easter eggs to celebrate Rare’s 40th anniversary. It’s also 8BitDo’s first wireless Xbox controller, with a small USB dongle and not Microsoft’s native Xbox Wireless protocol.
  • Microsoft’s Black Hat-like hacking event returns with bigger rewards. Microsoft’s hacking event, Zero Day Quest, is back and accepting nominations until October 4th. This year there is up to $5 million in bounty awards, up $1 million from last year. Microsoft is even offering multiplied bounty awards for finding the most critical issues in products like Azure, Copilot, and Microsoft 365. Security researchers will also get a chance to qualify for a live hacking event at Microsoft’s headquarters in spring 2026.
  • Microsoft is bringing its Xbox Copilot to the Windows Game Bar. Microsoft started testing its Xbox Copilot on iOS and Android earlier this year, and now it’s bringing the chatbot to the Game Bar feature on Windows 11. If you’re part of the PC preview for Xbox features, you can now start testing a new Gaming Copilot widget for the Game Bar. The Gaming Copilot knows what games you’re playing and can take screenshots to answer questions, and it’s an early step in Microsoft’s broader vision to turn its Xbox Copilot into an AI gaming coach.
  • Microsoft’s 2030 vision for Windows is all about AI. Microsoft quietly launched a new YouTube series on its Windows channel earlier this week, discussing the company’s vision for Windows in 2030. The first in the series features David Weston, vice president of enterprise and OS security at Microsoft, who predicts “the world of mousing and keyboarding around will feel as alien as it does to Gen Z [using] MS-DOS.” Microsoft has already started pushing AI agents inside Windows 11, and I’m only expecting the pace of AI change in Windows to accelerate over the next five years.
  • Microsoft tries to keep its consumer Copilot out of New York Times AI copyright case. Microsoft is trying to argue that its current version of Copilot for consumers should be excluded from legal discovery in the copyright lawsuit filed by The New York Times. Microsoft argues its latest version of Copilot “did not exist at the time News Plaintiffs filed their complaints” and “is built on a different platform with new system architecture.” Copilot still uses the same core OpenAI models, though, and that’s exactly what lawyers for the NYT are arguing.
  • Microsoft’s data center strategy is still in pause mode. There have been multiple reports of Microsoft pausing data center builds over the past six months, alongside leasing freezes. Now, SemiAnalysis reports that Microsoft’s committed data center construction is down year over year, and that “almost no new leases were signed in the past 12 months.”
  • The Windows Vista boot sound bug in Windows 11 builds has been fixed. Microsoft accidentally swapped Windows 11’s startup sound with Vista’s in recent test builds of the operating system. This is now fixed in the latest Canary builds of Windows 11. It’s a shame, because I actually prefer the Vista boot sound.

I’m always keen to hear from readers, so please drop a comment here, or you can reach me at [email protected] if you want to discuss anything else. If you’ve heard about any of Microsoft’s secret projects, you can reach me via email at [email protected] or speak to me confidentially on the Signal messaging app, where I’m tomwarren.01. I’m also tomwarren on Telegram, if you’d prefer to chat there.

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Not to pick at an irritated scab, but when the eighth and final season of Game of Throneshappened… I, a fan of the series via the show, naively assumed all author George R.R. Martin had to do was pen a different bookend to the series to recover all the lost goodwill of the series. Little did I know that was a touchy subject among book-readers who’ve been tortured by the author’s perpetual procrastination for years. Condolences.

While the same scenario isn’t fully analogous with what’s happened with Netflix’s live-action Alice in Borderland TV show and VIZ Media’s English manga release of the series’ extended epilogue, Alice in Borderland: Retry, the manga more than retroactively makes up for the huge disappointment I felt witnessing the show I loved go full Squid Game in the worst way possible in its final season.

Alice in Borderland is a cutting series in which a man named Arisu gets trapped in a sci-fi death game where a group of sequestered survivors must compete in a litany of challenges in an abandoned city. Think Gantz meets Kaiji. Its rules are cruel, but never completely ass-pull, with players logically outfoxing each other to win games lest a laser from the sky punch them through the top of their heads.

The show was so good I didn’t realize it was based on a manga by Haro Aso (Zom 100: Bucketlist of the Dead) that was also adapted into an anime—a fact that speaks to its overall quality in a sea of lackluster live-action Netflix projects. And for two seasons it came and went, adapting that story prior to Squid Game mania and, subsequently, in the throes of its pop culture takeover. That is, until a third season was released last year, ripping Arisu and his lover Usagi from their peaceful lives post-death games and throwing them back into the fray like a kid with a magnifying glass looming over an ant hill.

I was rocking with the series for a bit despite the show clearly making stuff up as it went along until it committed the tacky, cardinal sin of copying what Squid Game’s third season did in its final moments, desperately sequel-baiting itself by asking the question no one was curious about in a stinger: What if it took place in America? May that answer never come because of the road it took to tarnish the show’s reputation. As far as I’m concerned, there was no third season.

So imagine my surprise to find that Viz Media’s recently released localization of Aso’s 2020 epilogue manga to the series, set 10 years after its conclusion, would retroactively act as a remedy to the Netflix series’ final season I wish I could wipe from my mind palace. The manga starts out almost exactly the same as the third season of the Netflix series (duh, the manga came out first), with Arisu going from a NEET to a psychologist and Usagi expecting their first child. That’s the last thing similar between the two.

Unlike the Netflix series’ contrived reasoning to get everyone back into the games, Arisu winds up in the games for a pretty simple reason. He and five other participants get hit by a billboard and wind up in the Borderlands. If you’ve watched the show or read the manga, this inciting incident is far from the cataclysmic events that send Arisu to the Borderlands the first time around, but what it lacks in spectacle, it more than makes up for in the challenge that awaits them.

In contrast to the more-is-more inventiveness of the Netflix series’ games in its final season, Arisu and company only have to play one game, which is essentially musical chairs but for keeps. Despite the simplicity of the game, the stakes of the 300+ page epilogue far exceed those of the Netflix series, where its collective of players, composed of an insurance employee, a nursery school teacher, an emergency room nurse, a doctor, and an unemployed man, have to debate whose life matters more.

It’s rare that manga get a chance to reach a conclusion without getting the axe, and just as rare for series on an indefinite hiatus to start back up regardless of whether a creator is healthy, willing, and able to spin more narrative yarn years after the fact. Which begs the question whether the juice is worth the squeeze to loop back to a series that’s already over. Evidently, I wasn’t the only one in doubt of what, if anything, could be gained from revisiting a series whose manga concluded pretty succinctly. Aso had his doubts too, which he lays bare near the midpoint of the manga, writing the following:

It’s been ten years since I started working on Alice in Borderland. Like Arisu, I didn’t want to ever revisit a horrifying world like Borderland, but I was given the opportunity to write a sequel and I just couldn’t pass it up. What does it mean to live? What do our lives mean? Now, at 40 years old, I want to retry answering these questions.

While its game is a deceptively simple one, a fatal road of agony, betrayal, and second-guessing the inherent good in the human spirit left me in awe as I flipped through its pages and found that Aso still had it in him to concoct an intense, not-so-unwinnable death game, and that what he had to say serves as a footnote to a series that’s more than earned its place in the pantheon of death game narratives.

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

#Alice #Borderland #Retry #Netflix #Series #Reheating #Squid #Game #NachosAlice in Borderland,Manga,Netflix,Viz Media">‘Alice in Borderland: Retry’ Makes Up For the Netflix Series Reheating ‘Squid Game’ Nachos
                Not to pick at an irritated scab, but when the eighth and final season of Game of Thrones… happened… I, a fan of the series via the show, naively assumed all author George R.R. Martin had to do was pen a different bookend to the series to recover all the lost goodwill of the series. Little did I know that was a touchy subject among book-readers who’ve been tortured by the author’s perpetual procrastination for years. Condolences. While the same scenario isn’t fully analogous with what’s happened with Netflix’s live-action Alice in Borderland TV show and VIZ Media’s English manga release of the series’ extended epilogue, Alice in Borderland: Retry, the manga more than retroactively makes up for the huge disappointment I felt witnessing the show I loved go full Squid Game in the worst way possible in its final season. [embed]https://www.youtube.com/watch?v=49_44FFKZ1M[/embed] Alice in Borderland is a cutting series in which a man named Arisu gets trapped in a sci-fi death game where a group of sequestered survivors must compete in a litany of challenges in an abandoned city. Think Gantz meets Kaiji. Its rules are cruel, but never completely ass-pull, with players logically outfoxing each other to win games lest a laser from the sky punch them through the top of their heads.

 The show was so good I didn’t realize it was based on a manga by Haro Aso (Zom 100: Bucketlist of the Dead) that was also adapted into an anime—a fact that speaks to its overall quality in a sea of lackluster live-action Netflix projects. And for two seasons it came and went, adapting that story prior to Squid Game mania and, subsequently, in the throes of its pop culture takeover. That is, until a third season was released last year, ripping Arisu and his lover Usagi from their peaceful lives post-death games and throwing them back into the fray like a kid with a magnifying glass looming over an ant hill.

 [embed]https://www.youtube.com/watch?v=_8p6YkEPVco[/embed] I was rocking with the series for a bit despite the show clearly making stuff up as it went along until it committed the tacky, cardinal sin of copying what Squid Game’s third season did in its final moments, desperately sequel-baiting itself by asking the question no one was curious about in a stinger: What if it took place in America? May that answer never come because of the road it took to tarnish the show’s reputation. As far as I’m concerned, there was no third season.  Alice in Borderland Retry is now available in print and digital!  Read a free preview: https://t.co/OJcjm9wliH pic.twitter.com/8iqGzwjTIV — VIZ Media (@VIZMedia) July 21, 2026  So imagine my surprise to find that Viz Media’s recently released localization of Aso’s 2020 epilogue manga to the series, set 10 years after its conclusion, would retroactively act as a remedy to the Netflix series’ final season I wish I could wipe from my mind palace. The manga starts out almost exactly the same as the third season of the Netflix series (duh, the manga came out first), with Arisu going from a NEET to a psychologist and Usagi expecting their first child. That’s the last thing similar between the two.

 Unlike the Netflix series’ contrived reasoning to get everyone back into the games, Arisu winds up in the games for a pretty simple reason. He and five other participants get hit by a billboard and wind up in the Borderlands. If you’ve watched the show or read the manga, this inciting incident is far from the cataclysmic events that send Arisu to the Borderlands the first time around, but what it lacks in spectacle, it more than makes up for in the challenge that awaits them. In contrast to the more-is-more inventiveness of the Netflix series’ games in its final season, Arisu and company only have to play one game, which is essentially musical chairs but for keeps. Despite the simplicity of the game, the stakes of the 300+ page epilogue far exceed those of the Netflix series, where its collective of players, composed of an insurance employee, a nursery school teacher, an emergency room nurse, a doctor, and an unemployed man, have to debate whose life matters more. [embed]https://www.youtube.com/watch?v=Dq2p_B5MD0c[/embed] It’s rare that manga get a chance to reach a conclusion without getting the axe, and just as rare for series on an indefinite hiatus to start back up regardless of whether a creator is healthy, willing, and able to spin more narrative yarn years after the fact. Which begs the question whether the juice is worth the squeeze to loop back to a series that’s already over. Evidently, I wasn’t the only one in doubt of what, if anything, could be gained from revisiting a series whose manga concluded pretty succinctly. Aso had his doubts too, which he lays bare near the midpoint of the manga, writing the following:

 It’s been ten years since I started working on Alice in Borderland. Like Arisu, I didn’t want to ever revisit a horrifying world like Borderland, but I was given the opportunity to write a sequel and I just couldn’t pass it up. What does it mean to live? What do our lives mean? Now, at 40 years old, I want to retry answering these questions. While its game is a deceptively simple one, a fatal road of agony, betrayal, and second-guessing the inherent good in the human spirit left me in awe as I flipped through its pages and found that Aso still had it in him to concoct an intense, not-so-unwinnable death game, and that what he had to say serves as a footnote to a series that’s more than earned its place in the pantheon of death game narratives.  Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.      #Alice #Borderland #Retry #Netflix #Series #Reheating #Squid #Game #NachosAlice in Borderland,Manga,Netflix,Viz Media

happened… I, a fan of the series via the show, naively assumed all author George R.R. Martin had to do was pen a different bookend to the series to recover all the lost goodwill of the series. Little did I know that was a touchy subject among book-readers who’ve been tortured by the author’s perpetual procrastination for years. Condolences.

While the same scenario isn’t fully analogous with what’s happened with Netflix’s live-action Alice in Borderland TV show and VIZ Media’s English manga release of the series’ extended epilogue, Alice in Borderland: Retry, the manga more than retroactively makes up for the huge disappointment I felt witnessing the show I loved go full Squid Game in the worst way possible in its final season.

Alice in Borderland is a cutting series in which a man named Arisu gets trapped in a sci-fi death game where a group of sequestered survivors must compete in a litany of challenges in an abandoned city. Think Gantz meets Kaiji. Its rules are cruel, but never completely ass-pull, with players logically outfoxing each other to win games lest a laser from the sky punch them through the top of their heads.

The show was so good I didn’t realize it was based on a manga by Haro Aso (Zom 100: Bucketlist of the Dead) that was also adapted into an anime—a fact that speaks to its overall quality in a sea of lackluster live-action Netflix projects. And for two seasons it came and went, adapting that story prior to Squid Game mania and, subsequently, in the throes of its pop culture takeover. That is, until a third season was released last year, ripping Arisu and his lover Usagi from their peaceful lives post-death games and throwing them back into the fray like a kid with a magnifying glass looming over an ant hill.

I was rocking with the series for a bit despite the show clearly making stuff up as it went along until it committed the tacky, cardinal sin of copying what Squid Game’s third season did in its final moments, desperately sequel-baiting itself by asking the question no one was curious about in a stinger: What if it took place in America? May that answer never come because of the road it took to tarnish the show’s reputation. As far as I’m concerned, there was no third season.

So imagine my surprise to find that Viz Media’s recently released localization of Aso’s 2020 epilogue manga to the series, set 10 years after its conclusion, would retroactively act as a remedy to the Netflix series’ final season I wish I could wipe from my mind palace. The manga starts out almost exactly the same as the third season of the Netflix series (duh, the manga came out first), with Arisu going from a NEET to a psychologist and Usagi expecting their first child. That’s the last thing similar between the two.

Unlike the Netflix series’ contrived reasoning to get everyone back into the games, Arisu winds up in the games for a pretty simple reason. He and five other participants get hit by a billboard and wind up in the Borderlands. If you’ve watched the show or read the manga, this inciting incident is far from the cataclysmic events that send Arisu to the Borderlands the first time around, but what it lacks in spectacle, it more than makes up for in the challenge that awaits them.

In contrast to the more-is-more inventiveness of the Netflix series’ games in its final season, Arisu and company only have to play one game, which is essentially musical chairs but for keeps. Despite the simplicity of the game, the stakes of the 300+ page epilogue far exceed those of the Netflix series, where its collective of players, composed of an insurance employee, a nursery school teacher, an emergency room nurse, a doctor, and an unemployed man, have to debate whose life matters more.

It’s rare that manga get a chance to reach a conclusion without getting the axe, and just as rare for series on an indefinite hiatus to start back up regardless of whether a creator is healthy, willing, and able to spin more narrative yarn years after the fact. Which begs the question whether the juice is worth the squeeze to loop back to a series that’s already over. Evidently, I wasn’t the only one in doubt of what, if anything, could be gained from revisiting a series whose manga concluded pretty succinctly. Aso had his doubts too, which he lays bare near the midpoint of the manga, writing the following:

It’s been ten years since I started working on Alice in Borderland. Like Arisu, I didn’t want to ever revisit a horrifying world like Borderland, but I was given the opportunity to write a sequel and I just couldn’t pass it up. What does it mean to live? What do our lives mean? Now, at 40 years old, I want to retry answering these questions.

While its game is a deceptively simple one, a fatal road of agony, betrayal, and second-guessing the inherent good in the human spirit left me in awe as I flipped through its pages and found that Aso still had it in him to concoct an intense, not-so-unwinnable death game, and that what he had to say serves as a footnote to a series that’s more than earned its place in the pantheon of death game narratives.

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

#Alice #Borderland #Retry #Netflix #Series #Reheating #Squid #Game #NachosAlice in Borderland,Manga,Netflix,Viz Media">‘Alice in Borderland: Retry’ Makes Up For the Netflix Series Reheating ‘Squid Game’ Nachos‘Alice in Borderland: Retry’ Makes Up For the Netflix Series Reheating ‘Squid Game’ Nachos
                Not to pick at an irritated scab, but when the eighth and final season of Game of Thrones… happened… I, a fan of the series via the show, naively assumed all author George R.R. Martin had to do was pen a different bookend to the series to recover all the lost goodwill of the series. Little did I know that was a touchy subject among book-readers who’ve been tortured by the author’s perpetual procrastination for years. Condolences. While the same scenario isn’t fully analogous with what’s happened with Netflix’s live-action Alice in Borderland TV show and VIZ Media’s English manga release of the series’ extended epilogue, Alice in Borderland: Retry, the manga more than retroactively makes up for the huge disappointment I felt witnessing the show I loved go full Squid Game in the worst way possible in its final season. [embed]https://www.youtube.com/watch?v=49_44FFKZ1M[/embed] Alice in Borderland is a cutting series in which a man named Arisu gets trapped in a sci-fi death game where a group of sequestered survivors must compete in a litany of challenges in an abandoned city. Think Gantz meets Kaiji. Its rules are cruel, but never completely ass-pull, with players logically outfoxing each other to win games lest a laser from the sky punch them through the top of their heads.

 The show was so good I didn’t realize it was based on a manga by Haro Aso (Zom 100: Bucketlist of the Dead) that was also adapted into an anime—a fact that speaks to its overall quality in a sea of lackluster live-action Netflix projects. And for two seasons it came and went, adapting that story prior to Squid Game mania and, subsequently, in the throes of its pop culture takeover. That is, until a third season was released last year, ripping Arisu and his lover Usagi from their peaceful lives post-death games and throwing them back into the fray like a kid with a magnifying glass looming over an ant hill.

 [embed]https://www.youtube.com/watch?v=_8p6YkEPVco[/embed] I was rocking with the series for a bit despite the show clearly making stuff up as it went along until it committed the tacky, cardinal sin of copying what Squid Game’s third season did in its final moments, desperately sequel-baiting itself by asking the question no one was curious about in a stinger: What if it took place in America? May that answer never come because of the road it took to tarnish the show’s reputation. As far as I’m concerned, there was no third season.  Alice in Borderland Retry is now available in print and digital!  Read a free preview: https://t.co/OJcjm9wliH pic.twitter.com/8iqGzwjTIV — VIZ Media (@VIZMedia) July 21, 2026  So imagine my surprise to find that Viz Media’s recently released localization of Aso’s 2020 epilogue manga to the series, set 10 years after its conclusion, would retroactively act as a remedy to the Netflix series’ final season I wish I could wipe from my mind palace. The manga starts out almost exactly the same as the third season of the Netflix series (duh, the manga came out first), with Arisu going from a NEET to a psychologist and Usagi expecting their first child. That’s the last thing similar between the two.

 Unlike the Netflix series’ contrived reasoning to get everyone back into the games, Arisu winds up in the games for a pretty simple reason. He and five other participants get hit by a billboard and wind up in the Borderlands. If you’ve watched the show or read the manga, this inciting incident is far from the cataclysmic events that send Arisu to the Borderlands the first time around, but what it lacks in spectacle, it more than makes up for in the challenge that awaits them. In contrast to the more-is-more inventiveness of the Netflix series’ games in its final season, Arisu and company only have to play one game, which is essentially musical chairs but for keeps. Despite the simplicity of the game, the stakes of the 300+ page epilogue far exceed those of the Netflix series, where its collective of players, composed of an insurance employee, a nursery school teacher, an emergency room nurse, a doctor, and an unemployed man, have to debate whose life matters more. [embed]https://www.youtube.com/watch?v=Dq2p_B5MD0c[/embed] It’s rare that manga get a chance to reach a conclusion without getting the axe, and just as rare for series on an indefinite hiatus to start back up regardless of whether a creator is healthy, willing, and able to spin more narrative yarn years after the fact. Which begs the question whether the juice is worth the squeeze to loop back to a series that’s already over. Evidently, I wasn’t the only one in doubt of what, if anything, could be gained from revisiting a series whose manga concluded pretty succinctly. Aso had his doubts too, which he lays bare near the midpoint of the manga, writing the following:

 It’s been ten years since I started working on Alice in Borderland. Like Arisu, I didn’t want to ever revisit a horrifying world like Borderland, but I was given the opportunity to write a sequel and I just couldn’t pass it up. What does it mean to live? What do our lives mean? Now, at 40 years old, I want to retry answering these questions. While its game is a deceptively simple one, a fatal road of agony, betrayal, and second-guessing the inherent good in the human spirit left me in awe as I flipped through its pages and found that Aso still had it in him to concoct an intense, not-so-unwinnable death game, and that what he had to say serves as a footnote to a series that’s more than earned its place in the pantheon of death game narratives.  Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.      #Alice #Borderland #Retry #Netflix #Series #Reheating #Squid #Game #NachosAlice in Borderland,Manga,Netflix,Viz Media

Not to pick at an irritated scab, but when the eighth and final season of Game of Throneshappened… I, a fan of the series via the show, naively assumed all author George R.R. Martin had to do was pen a different bookend to the series to recover all the lost goodwill of the series. Little did I know that was a touchy subject among book-readers who’ve been tortured by the author’s perpetual procrastination for years. Condolences.

While the same scenario isn’t fully analogous with what’s happened with Netflix’s live-action Alice in Borderland TV show and VIZ Media’s English manga release of the series’ extended epilogue, Alice in Borderland: Retry, the manga more than retroactively makes up for the huge disappointment I felt witnessing the show I loved go full Squid Game in the worst way possible in its final season.

Alice in Borderland is a cutting series in which a man named Arisu gets trapped in a sci-fi death game where a group of sequestered survivors must compete in a litany of challenges in an abandoned city. Think Gantz meets Kaiji. Its rules are cruel, but never completely ass-pull, with players logically outfoxing each other to win games lest a laser from the sky punch them through the top of their heads.

The show was so good I didn’t realize it was based on a manga by Haro Aso (Zom 100: Bucketlist of the Dead) that was also adapted into an anime—a fact that speaks to its overall quality in a sea of lackluster live-action Netflix projects. And for two seasons it came and went, adapting that story prior to Squid Game mania and, subsequently, in the throes of its pop culture takeover. That is, until a third season was released last year, ripping Arisu and his lover Usagi from their peaceful lives post-death games and throwing them back into the fray like a kid with a magnifying glass looming over an ant hill.

I was rocking with the series for a bit despite the show clearly making stuff up as it went along until it committed the tacky, cardinal sin of copying what Squid Game’s third season did in its final moments, desperately sequel-baiting itself by asking the question no one was curious about in a stinger: What if it took place in America? May that answer never come because of the road it took to tarnish the show’s reputation. As far as I’m concerned, there was no third season.

So imagine my surprise to find that Viz Media’s recently released localization of Aso’s 2020 epilogue manga to the series, set 10 years after its conclusion, would retroactively act as a remedy to the Netflix series’ final season I wish I could wipe from my mind palace. The manga starts out almost exactly the same as the third season of the Netflix series (duh, the manga came out first), with Arisu going from a NEET to a psychologist and Usagi expecting their first child. That’s the last thing similar between the two.

Unlike the Netflix series’ contrived reasoning to get everyone back into the games, Arisu winds up in the games for a pretty simple reason. He and five other participants get hit by a billboard and wind up in the Borderlands. If you’ve watched the show or read the manga, this inciting incident is far from the cataclysmic events that send Arisu to the Borderlands the first time around, but what it lacks in spectacle, it more than makes up for in the challenge that awaits them.

In contrast to the more-is-more inventiveness of the Netflix series’ games in its final season, Arisu and company only have to play one game, which is essentially musical chairs but for keeps. Despite the simplicity of the game, the stakes of the 300+ page epilogue far exceed those of the Netflix series, where its collective of players, composed of an insurance employee, a nursery school teacher, an emergency room nurse, a doctor, and an unemployed man, have to debate whose life matters more.

It’s rare that manga get a chance to reach a conclusion without getting the axe, and just as rare for series on an indefinite hiatus to start back up regardless of whether a creator is healthy, willing, and able to spin more narrative yarn years after the fact. Which begs the question whether the juice is worth the squeeze to loop back to a series that’s already over. Evidently, I wasn’t the only one in doubt of what, if anything, could be gained from revisiting a series whose manga concluded pretty succinctly. Aso had his doubts too, which he lays bare near the midpoint of the manga, writing the following:

It’s been ten years since I started working on Alice in Borderland. Like Arisu, I didn’t want to ever revisit a horrifying world like Borderland, but I was given the opportunity to write a sequel and I just couldn’t pass it up. What does it mean to live? What do our lives mean? Now, at 40 years old, I want to retry answering these questions.

While its game is a deceptively simple one, a fatal road of agony, betrayal, and second-guessing the inherent good in the human spirit left me in awe as I flipped through its pages and found that Aso still had it in him to concoct an intense, not-so-unwinnable death game, and that what he had to say serves as a footnote to a series that’s more than earned its place in the pantheon of death game narratives.

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

#Alice #Borderland #Retry #Netflix #Series #Reheating #Squid #Game #NachosAlice in Borderland,Manga,Netflix,Viz Media

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">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

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

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