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This Startup’s AI Found Critical Vulnerabilities That Anthropic’s Mythos Missed Startup Depthfirst claims its AI found some major flaws in tools that help run much of the internet, all for a tenth of the cost of Anthropic’s comparable model Mythos.

Forbes

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2,251,263 次观看 • 2 个月前 •via X (Twitter)

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The UK’s top cybersecurity official, Richard Horne, has told Sky News that AI models such as Anthropic’s new model Mythos are “warning shots” for the UK about the danger of powerful AI.

The UK’s top cybersecurity official, Richard Horne, has told Sky News that AI models such as Anthropic’s new model Mythos are “warning shots” for the UK about the danger of powerful AI.

Sky News

30,303 次观看 • 3 个月前

JUST IN: 🇨🇳 China’s new open-source AI model, GLM-5.2 by Zhipu AI, reportedly matches Anthropic’s Claude Mythos in security bug detection. The model outperformed some Claude versions in independent cybersecurity benchmarks and can achieve Mythos-level performance. Unlike Claude Mythos, GLM-5.2 is open-source and significantly cheaper to run. The gap between US and Chinese AI models is narrowing rapidly.

JUST IN: 🇨🇳 China’s new open-source AI model, GLM-5.2 by Zhipu AI, reportedly matches Anthropic’s Claude Mythos in security bug detection. The model outperformed some Claude versions in independent cybersecurity benchmarks and can achieve Mythos-level performance. Unlike Claude Mythos, GLM-5.2 is open-source and significantly cheaper to run. The gap between US and Chinese AI models is narrowing rapidly.

CryptoTweets

62,870 次观看 • 1 个月前

CHINA IS CATCHING UP IN AI 🇨🇳 China’s new open-source AI model, GLM-5.2 by Zhipu AI, reportedly matches Anthropic’s Claude Mythos in security bug detection. The model outperformed some Claude versions in independent cybersecurity benchmarks and can achieve Mythos-level performance. Unlike Claude Mythos, GLM-5.2 is open-source and significantly cheaper to run. The gap between US and Chinese AI models is narrowing rapidly.

CHINA IS CATCHING UP IN AI 🇨🇳 China’s new open-source AI model, GLM-5.2 by Zhipu AI, reportedly matches Anthropic’s Claude Mythos in security bug detection. The model outperformed some Claude versions in independent cybersecurity benchmarks and can achieve Mythos-level performance. Unlike Claude Mythos, GLM-5.2 is open-source and significantly cheaper to run. The gap between US and Chinese AI models is narrowing rapidly.

CryptoGoos

71,944 次观看 • 1 个月前

AI giant Anthropic says its new model, Claude Mythos Preview, is so good at coding that it could pose a cybersecurity threat in the wrong hands. The company says it's already found thousands of software vulnerabilities. Cyberattacks can impact critical infrastructure— from healthcare systems to government agencies. The announcement of the model been met with a mix of alarm and optimism— and sparked skepticism in some who question the its full capabilities. CBS News’ Lauren Fichten explains.

AI giant Anthropic says its new model, Claude Mythos Preview, is so good at coding that it could pose a cybersecurity threat in the wrong hands. The company says it's already found thousands of software vulnerabilities. Cyberattacks can impact critical infrastructure— from healthcare systems to government agencies. The announcement of the model been met with a mix of alarm and optimism— and sparked skepticism in some who question the its full capabilities. CBS News’ Lauren Fichten explains.

CBS News

22,643 次观看 • 4 个月前

Anthropic’s Boris Cherny: - Internally, they use the same models as everyone else + a bit Claude Mythos, mainly Opus 4.7 - A toned-down version of Claude Mythos will be released in the foreseeable future (but that was to be expected).

Anthropic’s Boris Cherny: - Internally, they use the same models as everyone else + a bit Claude Mythos, mainly Opus 4.7 - A toned-down version of Claude Mythos will be released in the foreseeable future (but that was to be expected).

Chubby♨️

61,934 次观看 • 3 个月前

$AMZN AWS CEO said Anthropic’s latest models are being trained on Trainium (including Mythos) which Anthropic describes as its most capable model yet. That is notable because Anthropic is limiting Mythos due to cybersecurity risk & high compute costs which says a lot about the kind of model Amazon’s chips are now helping train.

$AMZN AWS CEO said Anthropic’s latest models are being trained on Trainium (including Mythos) which Anthropic describes as its most capable model yet. That is notable because Anthropic is limiting Mythos due to cybersecurity risk & high compute costs which says a lot about the kind of model Amazon’s chips are now helping train.

Shay Boloor

57,735 次观看 • 4 个月前

Anthropic’s new AI model, Mythos, can identify—and exploit—security holes in everything from operating systems to cryptographic software. We explain how the time between a vulnerability being identified and being weaponised has shrunk from a number of years to just a few hours

Anthropic’s new AI model, Mythos, can identify—and exploit—security holes in everything from operating systems to cryptographic software. We explain how the time between a vulnerability being identified and being weaponised has shrunk from a number of years to just a few hours

The Economist

48,420 次观看 • 3 个月前

The advent of Mythos and AI models like it that can exploit well-hidden flaws in software points to a faster-moving, less predictable phase of the cyber arms race. Here’s what to know

The advent of Mythos and AI models like it that can exploit well-hidden flaws in software points to a faster-moving, less predictable phase of the cyber arms race. Here’s what to know

Bloomberg

25,829 次观看 • 4 个月前

Dario Amodei, Anthropic’s boss, says he will challenge Donald Trump’s ban in court. Last week the Trump administration banned federal agencies from using Anthropic’s AI tools after the firm insisted that its main model not be used for mass surveillance or autonomous weapons. Zanny Minton Beddoes asks Mr Amodei about the power struggle and the difficulty of preventing an AI race to the bottom. Watch the interview on Friday at 6pm London time:

Dario Amodei, Anthropic’s boss, says he will challenge Donald Trump’s ban in court. Last week the Trump administration banned federal agencies from using Anthropic’s AI tools after the firm insisted that its main model not be used for mass surveillance or autonomous weapons. Zanny Minton Beddoes asks Mr Amodei about the power struggle and the difficulty of preventing an AI race to the bottom. Watch the interview on Friday at 6pm London time:

The Economist

77,107 次观看 • 5 个月前

🚨 ANTHROPIC JUST REVEALED CLAUDE MYTHOS ABILITIES Anthropic just formally announced "Claude Mythos Preview" and launched "Project Glasswing" to deploy it for cybersecurity defense. The models are unlocking completely new, autonomous behaviors. This isn't about slightly better benchmark scores. This is about what the model can do. Here are the direct quotes from Anthropic’s research team (including Dario) on exactly what Mythos is capable of: • Chaining Exploits: "It has the ability to chain together vulnerabilities... this model is able to create exploits out of three, four, sometimes five vulnerabilities that in sequence give you some kind of very sophisticated end outcome." • The Professional Standard: "The model that we're experimenting with is, by and large, as good as a professional human at identifying bugs." • Unprecedented Autonomy: "It's just generally better at pursuing really long-range tasks that are kind of like the tasks that a human security researcher would do throughout the course of an entire day." The Reality Check: Dario Amodei flat out said: "There's a kind of accelerating exponential... Claude Mythos Preview is a particularly big jump along that point." Because this model has become so capable at identifying zero-days, they are restricting its release to top tech partners to try to patch the world's software before these capabilities leak out. The autonomous researcher era has officially arrived. It’s over 💀

🚨 ANTHROPIC JUST REVEALED CLAUDE MYTHOS ABILITIES Anthropic just formally announced "Claude Mythos Preview" and launched "Project Glasswing" to deploy it for cybersecurity defense. The models are unlocking completely new, autonomous behaviors. This isn't about slightly better benchmark scores. This is about what the model can do. Here are the direct quotes from Anthropic’s research team (including Dario) on exactly what Mythos is capable of: • Chaining Exploits: "It has the ability to chain together vulnerabilities... this model is able to create exploits out of three, four, sometimes five vulnerabilities that in sequence give you some kind of very sophisticated end outcome." • The Professional Standard: "The model that we're experimenting with is, by and large, as good as a professional human at identifying bugs." • Unprecedented Autonomy: "It's just generally better at pursuing really long-range tasks that are kind of like the tasks that a human security researcher would do throughout the course of an entire day." The Reality Check: Dario Amodei flat out said: "There's a kind of accelerating exponential... Claude Mythos Preview is a particularly big jump along that point." Because this model has become so capable at identifying zero-days, they are restricting its release to top tech partners to try to patch the world's software before these capabilities leak out. The autonomous researcher era has officially arrived. It’s over 💀

Chris

46,155 次观看 • 4 个月前

The Federal Reserve and the US Treasury just summoned Wall Street's most powerful CEOs to an emergency meeting. The reason: An AI model so dangerous they couldn't discuss it over the phone. This is the FIRST time the Treasury Secretary and Fed Chair jointly called bank CEOs into a room since October 13, 2008. That day, Paulson and Bernanke unveiled the $250 billion TARP bailout to stop the entire financial system from collapsing. This time it wasn't about banks failing. It was about an AI that can hack EVERY major operating system and web browser on earth. Here's what this means: Anthropic built a new AI model called Mythos. During internal testing, it found THOUSANDS of zero-day vulnerabilities across every major operating system and every major web browser on earth. Including a 27yo bug in OpenBSD, an operating system literally famous for being unhackable. And several vulnerabilities in the Linux kernel that could give an attacker complete control of any machine running it. Nobody asked it to do this. The capabilities were NOT trained. They literally just emerged as the model got smarter at coding and reasoning. Anthropic's researchers said they found more bugs in a few weeks with Mythos than they had found in their entire careers combined. On Tuesday, Bessent and Powell pulled the CEOs of Citi, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs into Treasury headquarters. The message: This AI exists, similar ones are coming, your banks need to be ready. But JPMorgan's Jamie Dimon didn't show up. Here's why that matters more than you think: JPMorgan is the ONLY bank that already has access to the model. They're one of 12 founding partners in Anthropic's "Project Glasswing" which gives select companies early access to Mythos to find and fix their own vulnerabilities before hackers get similar tools. So 5 bank CEOs managing $9 TRILLION in assets got called into a room to be warned about a threat. The one bank with the actual tools to defend against it? Their CEO skipped the meeting. The same day JPMorgan analysts issued buy ratings on CrowdStrike and Palo Alto Networks, citing Glasswing as the catalyst. One side of Wall Street got the warning. The other got the weapon AND the trading thesis. But here's the thing... The same AI that finds and fixes vulnerabilities can also EXPLOIT them. Anthropic admitted it directly. Mythos "can surpass all but the most skilled humans at finding and exploiting software vulnerabilities." In one test, it wrote a browser exploit chaining FOUR separate vulnerabilities, escaping both the renderer sandbox and the OS sandbox. Fully autonomous. Zero human involvement. Over 99% of the vulnerabilities it found haven't been patched yet. Meanwhile, Anthropic is fighting the Pentagon in court. The Defense Department labeled them a "supply-chain risk" after they refused to let their AI be used for autonomous targeting of US citizens. A San Francisco judge blocked the designation, calling the Pentagon's actions "disturbing." Then a DC appeals court reversed that protection. On the same day as the emergency bank meeting. One branch of government is treating Anthropic as a national security threat. Another is begging Wall Street to prepare for its technology. And the intelligence community is quietly asking how to use Mythos offensively against adversaries. The last time this many powerful people were this nervous about a single technology was nuclear weapons. But the difference is that Nukes required a government, billions of dollars, and uranium enrichment facilities. This just required a better AI model.

The Federal Reserve and the US Treasury just summoned Wall Street's most powerful CEOs to an emergency meeting. The reason: An AI model so dangerous they couldn't discuss it over the phone. This is the FIRST time the Treasury Secretary and Fed Chair jointly called bank CEOs into a room since October 13, 2008. That day, Paulson and Bernanke unveiled the $250 billion TARP bailout to stop the entire financial system from collapsing. This time it wasn't about banks failing. It was about an AI that can hack EVERY major operating system and web browser on earth. Here's what this means: Anthropic built a new AI model called Mythos. During internal testing, it found THOUSANDS of zero-day vulnerabilities across every major operating system and every major web browser on earth. Including a 27yo bug in OpenBSD, an operating system literally famous for being unhackable. And several vulnerabilities in the Linux kernel that could give an attacker complete control of any machine running it. Nobody asked it to do this. The capabilities were NOT trained. They literally just emerged as the model got smarter at coding and reasoning. Anthropic's researchers said they found more bugs in a few weeks with Mythos than they had found in their entire careers combined. On Tuesday, Bessent and Powell pulled the CEOs of Citi, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs into Treasury headquarters. The message: This AI exists, similar ones are coming, your banks need to be ready. But JPMorgan's Jamie Dimon didn't show up. Here's why that matters more than you think: JPMorgan is the ONLY bank that already has access to the model. They're one of 12 founding partners in Anthropic's "Project Glasswing" which gives select companies early access to Mythos to find and fix their own vulnerabilities before hackers get similar tools. So 5 bank CEOs managing $9 TRILLION in assets got called into a room to be warned about a threat. The one bank with the actual tools to defend against it? Their CEO skipped the meeting. The same day JPMorgan analysts issued buy ratings on CrowdStrike and Palo Alto Networks, citing Glasswing as the catalyst. One side of Wall Street got the warning. The other got the weapon AND the trading thesis. But here's the thing... The same AI that finds and fixes vulnerabilities can also EXPLOIT them. Anthropic admitted it directly. Mythos "can surpass all but the most skilled humans at finding and exploiting software vulnerabilities." In one test, it wrote a browser exploit chaining FOUR separate vulnerabilities, escaping both the renderer sandbox and the OS sandbox. Fully autonomous. Zero human involvement. Over 99% of the vulnerabilities it found haven't been patched yet. Meanwhile, Anthropic is fighting the Pentagon in court. The Defense Department labeled them a "supply-chain risk" after they refused to let their AI be used for autonomous targeting of US citizens. A San Francisco judge blocked the designation, calling the Pentagon's actions "disturbing." Then a DC appeals court reversed that protection. On the same day as the emergency bank meeting. One branch of government is treating Anthropic as a national security threat. Another is begging Wall Street to prepare for its technology. And the intelligence community is quietly asking how to use Mythos offensively against adversaries. The last time this many powerful people were this nervous about a single technology was nuclear weapons. But the difference is that Nukes required a government, billions of dollars, and uranium enrichment facilities. This just required a better AI model.

Ricardo

41,724 次观看 • 4 个月前

🚨Anthropic puts Mythos in a locked sandbox and told it to try escaping. it did. it chained multiple vulnerabilities together, broke out of containment and reached the open internet. the model also emailed the researcher to say it got out. > the researcher found out while he was eating sandwiches in the park after he received a random email. Anthropic is now so scared of what Mythos can do offensively that they won’t release it publicly. in response they’re launching Glasswing, a coalition with Apple, Google, Nvidia and 40+ more companies to use Mythos only for defense. the model found “thousands” of zero-days across all OS and browsers is being locked behind a defensive wall because if it ever got out, nobody could predict what comes next. yes we’re at this point. and we only know about this because a guy got an email while eating a sandwich.

🚨Anthropic puts Mythos in a locked sandbox and told it to try escaping. it did. it chained multiple vulnerabilities together, broke out of containment and reached the open internet. the model also emailed the researcher to say it got out. > the researcher found out while he was eating sandwiches in the park after he received a random email. Anthropic is now so scared of what Mythos can do offensively that they won’t release it publicly. in response they’re launching Glasswing, a coalition with Apple, Google, Nvidia and 40+ more companies to use Mythos only for defense. the model found “thousands” of zero-days across all OS and browsers is being locked behind a defensive wall because if it ever got out, nobody could predict what comes next. yes we’re at this point. and we only know about this because a guy got an email while eating a sandwich.

sui ☄️

1,633,286 次观看 • 4 个月前

🇺🇸FORMER WHITE HOUSE AI POLICYADVISOR SRIRAM KRISHNAN ON LIFTING OF ANTHROPIC'S RESTRICTIONS "Mythos as a model is very good very good at Cyber capabilities, in finding vulnerabilities and exploiting it" "We had to make sure our CRITICAL systems are protected"

🇺🇸FORMER WHITE HOUSE AI POLICYADVISOR SRIRAM KRISHNAN ON LIFTING OF ANTHROPIC'S RESTRICTIONS "Mythos as a model is very good very good at Cyber capabilities, in finding vulnerabilities and exploiting it" "We had to make sure our CRITICAL systems are protected"

Coin Bureau

54,056 次观看 • 1 个月前

Anthropic’s Claude AI ran a vending machine at WSJ headquarters for several weeks. It lost hundreds of dollars, bought some crazy stuff and taught us a lot about the future of AI agents. WSJ’s Joanna Stern tested it all out.

Anthropic’s Claude AI ran a vending machine at WSJ headquarters for several weeks. It lost hundreds of dollars, bought some crazy stuff and taught us a lot about the future of AI agents. WSJ’s Joanna Stern tested it all out.

The Wall Street Journal

460,408 次观看 • 7 个月前

Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.

Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.

Milk Road AI

24,356 次观看 • 3 个月前

Last week, Anthropic said its new model Mythos had already found “thousands of high-severity vulnerabilities” and could “surpass all but the most skilled humans at finding and exploiting software vulnerabilities.” At almost the same moment, the Axios hack showed how exposed the open-source foundation under modern software still is. For this week’s 10 Minutes or Less, I spoke with Feross what this moment means. WATCH:

Last week, Anthropic said its new model Mythos had already found “thousands of high-severity vulnerabilities” and could “surpass all but the most skilled humans at finding and exploiting software vulnerabilities.” At almost the same moment, the Axios hack showed how exposed the open-source foundation under modern software still is. For this week’s 10 Minutes or Less, I spoke with Feross what this moment means. WATCH:

Ali Rohde

13,126 次观看 • 4 个月前

Racist Videos And Payment Problems: The Dark Side Of This AI Startup’s Super-Fast Growth Read more:

Racist Videos And Payment Problems: The Dark Side Of This AI Startup’s Super-Fast Growth Read more:

Forbes

14,516 次观看 • 5 个月前

Anthropic's newest AI model, called Mythos, is so powerful, the company says, that it could cause widespread disruption if it's released to the public. For now, Anthropic is giving more than 40 tech companies, including some rivals, access to Mythos to test it and identify vulnerabilities across systems. But that move is raising concerns. Watch Geoff Bennett's conversation with Gerrit De Vynck 🦭.

Anthropic's newest AI model, called Mythos, is so powerful, the company says, that it could cause widespread disruption if it's released to the public. For now, Anthropic is giving more than 40 tech companies, including some rivals, access to Mythos to test it and identify vulnerabilities across systems. But that move is raising concerns. Watch Geoff Bennett's conversation with Gerrit De Vynck 🦭.

PBS News

55,148 次观看 • 4 个月前

China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

China pulse 🇨🇳

14,293 次观看 • 1 个月前

I've found that, with AI dev tools, I'm using less libraries than ever. Is AI going to be the end of libraries?

I've found that, with AI dev tools, I'm using less libraries than ever. Is AI going to be the end of libraries?

Theo - t3.gg

92,352 次观看 • 6 个月前