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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
What Anthropic's Pentagon spat and Claude Mythos tell us ...
Katherine Mangu-Ward · 2026-05-04 · via Hacker News - Newest: "AI"

One of the more encouraging developments in artificial intelligence is that some of the people building it have started acting like it might be dangerous. Not in the Skynet sense or the HAL 9000 sense or even the "oops, it deleted all my emails" sense, though AI might be dangerous in all of those ways too. The question is whether the latest models are dangerous to infrastructure, dangerous to privacy, dangerous to security, and dangerous to the blurry line between public and private. For years, Big Tech has been heavy on the gas, light on the brakes—and we have all benefited tremendously, even as angry debates about the downsides have raged. But with AI, at least in a few notable cases, the companies themselves have begun doing something unusual. They have started saying no.

Anthropic has announced that it would not broadly release Claude Mythos Preview, a frontier model that it says has already found "thousands of high-severity vulnerabilities," including in every major operating system and web browser. Instead, it is confining access to a consortium that includes Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, Palo Alto Networks, and some other organizations that build or maintain critical software infrastructure. Anthropic says the point is defensive: to use the model to find and patch catastrophic flaws before less scrupulous actors get their hands on similar capabilities.

There is no shortage of self-interest in that decision to launch Project Glasswing. These companies would rather be seen as stewards than as Visigoths. Waiting for general release will slow the cycle of copycatting by rivals. But in an industry that spent years insisting that every new capability had to be shipped immediately because progress was inevitable, it is genuinely notable to see a major player conclude that a sufficiently powerful model should not simply be tossed into the public square.

***

The same instinct showed up, more dramatically, in Anthropic's recent fight with the Pentagon. The company publicly said it had only two "narrow exceptions" to military use of its models: mass domestic surveillance and fully autonomous weapons. On surveillance, Anthropic CEO Dario Amodei argued that AI makes it possible to turn commercially available data into "a comprehensive picture of any person's life—automatically and at massive scale." On autonomous weapons, he said today's frontier systems are "not reliable enough" to "take humans out of the loop entirely and automate selecting and engaging targets" on their own.

Like nearly every other major tech company, Anthropic remains perfectly happy to assist the government with most of its run-of-the-mill murder and destruction. But it's notable, and praiseworthy, that the company wanted to insist on some contractual limits to how its product is used.

The response reflected the Pentagon's chaotic, vengeful new normal. The military insisted it would contract only with AI companies willing to accept "any lawful use" and remove those safeguards. When Anthropic refused, Defense Secretary Pete Hegseth designated the company a risk to national security, a label that blocks Pentagon contracts and could potentially widen into a broader blacklist. Anthropic sued, arguing the move was retaliation. The status as of mid-April is messy: A California federal judge blocked one set of punitive actions and forced the government to remove stigmatizing labels, while on April 8 the D.C. Circuit declined, for now, to pause the Pentagon's separate supply-chain-risk designation as litigation continues.

The California judge, Rita Lin, had it right when she wrote: "Nothing in the governing statute supports the Orwellian notion that an American company may be branded a potential adversary and saboteur of the U.S. for expressing disagreement with the government."

***

A great many people, on both the right and the left, have spent the past two years demanding that somebody, somewhere, place meaningful limits on AI. Now a major company has done exactly that, and it turns out many of the same people are uncomfortable with what limits actually look like in practice.

Project Glasswing is, after all, a cartel. There are many ways such an arrangement might go wrong. There is every reason to worry that the major AI players could use "safety" language as a way to consolidate their own power and freeze out smaller competitors. Antitrust regulators must be salivating at the prospect. But one can also imagine a far worse alternative, in which we wait for some combination of Congress, the Federal Trade Commission, the Commerce Department, the European Union, and 17 blue-state attorneys general to act.

The informal coordination of the major players may, for a time, be the best bet. It is more flexible, more reversible, and more tightly connected to the people who actually understand the technology.

This new phase in the story of AI arrives at a strange moment. As this issue goes to press, the United States and Iran have agreed to a two-week ceasefire after a six-week war that killed thousands and disrupted global trade and energy markets. Everything is uncertain, and that's one reason the Pentagon AI fight matters so much: It is happening in the middle of an actual war, with actual stakes, as AI becomes ever more entangled with military planning, intelligence, cyber operations, and state power. A question hangs over all of it: Was this the first AI war, or the last war of a previous age?

This article originally appeared in print under the headline "AI Companies Learn the Word No."