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Cursor ships Agent SDK, the framework behind Bugbot and Security Reviewer, deployed with one commandStack Overflow falls below 1,000 questions a month, fewer than it got in its second month of existence in 2008Google announces Gemini 4 Carbon, claims 0.0% successful cheating on Terminal-Bench 4.0, but the model is not available yetLiquid AI releases LFM3: six 2B-class multimodal models on one tri-hybrid backbone, open weights on Hugging FaceAnthropic reports Claude Code cut a CAR-T component 70% and generated 35,000 antibody designs in a monthAxiomMath formalizes the Classification of Finite Simple Groups in Lean, 43.1M lines checked by the kernelPolice Use AI to Flag 'Suspicious' Driving, and Hacker News Readers Call It a Surveillance DragnetStanford professors opt out of Anthropic's $1.5B book-piracy settlement to sue for up to $150K per workDeepMind announces Genie 4, a world model that generates scene audio and dialogue in real timeDebian developer refuses NEW uploads after DFSG 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gradeClaude Code team moves most code review to machines, doubling merged PRs while reverts fall over 40 percentMercor's Benchmark Map finds AI tests cover little of the US work that takes up most hoursMeta's new business terms let it scrape linked news sites to train AI, legal experts sayDeveloper uses Claude Code to reverse engineer a scanner and a laptop MIPI camera driver from Windows USB tracesJev sacrifices one to save five, but twenty to save its own serverKrea 3 image editing model enters open beta, claiming 4x speed over Nano Banana ProSimons Foundation launches $15M AI effort for mathematicians, backed by Anthropic and OpenAIOpenAI's math proofs leave top mathematicians grieving, Steven Strogatz saysGoodfire essay argues neural networks are already clean and mostly interpretableMeta releases Muse Spark Open weights, an 816B model that runs on two Mac StudiosLiquid AI releases open-weight LFM2.5-24B-A2B, a 2B-active reasoning model for on-device agentsBanks try to offload $38B 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launches Muse Wonder and Muse Wonder Full, its most capable models for personal and professional agentsResearch firm New Constructs calls Anthropic's IPO the most ridiculous of 2026, values the company at $150 billionQGIS bans AI-assisted contributions under new QEP 428 policySakana AI's MASS lets one model optimize its own multi-agent workflows and then train on the resultsAI agents decompile a popular FPS over 500B tokens, but constant progress hid semantically wrong codeKarpathy says the gap in shared understanding of LLM capability is widening into a funnelTerence Tao argues AI has created proof abundance in math and calls for a Math 2.0 that looks past problem solvingNature paper retrofits subword LLMs to run on raw bytesNvidia in talks to acquire or deepen investment in open-model start-up Reflection AIMicrosoft releases MXC 1.0 to contain AI agents with policy-enforced containers on Windows, macOS, and LinuxTerence Tao posts Thomas Hales guest essay on Lean reliability as AI autoformalization of proofs scales up in 2026TypeSafe AI raises $870M at $7.5B valuation led by Andreessen HorowitzOpenAI told investors its annualised revenue was about $20B below earlier reportsOpenAI withdraws three math manuscripts from its GitHub repo as Lean checks continueOpenAI withdraws 3 math papers after a sign error, revises 14 moreLLM-built Rust port of the TypeScript compiler arrives with $400,000 in API-priced tokens and a nod from the TypeScript team
Stanford professors opt out of Anthropic's $1.5B book-piracy settlement to sue for up to $150K per work

Stanford professors opt out of Anthropic's $1.5B book-piracy settlement to sue for up to $150K per work

  • Judge William Alsup ruled in Bartz v. Anthropic that pulling books from shadow libraries like LibGen and PiLiMi to train Claude was illegal, while training on legally acquired copies counts as fair use.
  • The $1.5B settlement went to authors and publishers of nearly 500,000 registered works, roughly $3,000 per work.
  • Tobias Wolff, 10 of whose publications Anthropic used, and English professor Chang-rae Lee opted out of the class settlement and filed Cruz v. Anthropic in May 2026, seeking statutory damages up to $150,000 per infringed work plus a permanent injunction.
  • Stanford law professor Paul Goldstein says the core obstacle is transaction costs: a single training run can copy millions of works, so licensing every title is impractical for the platform.
  • Over 70 infringement lawsuits are pending against AI companies, including from The New York Times and Getty Images, and the Authors Guild is pressing Congress for legislation that requires licensing.

Hacker News opinions

The title is off. The ruling never said training on the books was illegal, it said taking them off LibGen was. Alsup explicitly put legally acquired books for training under fair use.

That's a distinction without a difference. They pirated the books so they could train on them, that's the whole point.

Fair enough, I changed the submission title to match what the article actually says.

I robbed the bank illegally, but the car I bought with the money was totally legal.

Of course they did it, same as nearly every bit of training data that isn't synthetic, and even the synthetic stuff traces back to something pirated.

The dumb part is they burned $1.5B by not just buying the books. If I torrented half a million books I'd be looking at way worse than a $3k-per-book settlement.

They also claimed the pirated files weren't used for training, then went out and bought a huge pile of secondhand books and scanned those instead, which looks legal.

Good. Information wants to be free, and it shouldn't stay locked in an ivory tower so a few academics can hoard it.

Then why not just pay for the book? Do you think authors should never be compensated for the work at all?

Can I get your credit card and social? Pretty sure that information wants to be free too.

It's funny how hackers who have pirated plenty in their lives suddenly turn into copyright hardliners.

Note the framing: the trillion dollar company isn't the rich one here, the professors are.

This happened to everyone's data, not just Stanford professors. Does it matter more because of who wrote the books?

They were already covered by the class settlement, but several opted out to sue individually for bigger damages. Damn right they did.

So where's the 13 felony CFAA counts here? Aaron Swartz got prosecuted for far less.

The CFAA doesn't reach downloading from LibGen, there's no alleged unauthorized system access in this case.

Swartz broke into a network closet and worked around MAC address bans. That comparison doesn't hold.

Swartz's case never went to trial and it tanked the prosecutor's career, there have been no prosecutions like it since. Let's not wish that back.

Also Swartz meant to redistribute the papers in public. Anthropic trained behind closed doors and had a paper trail arguing fair use, which is a real difference even if you hate it.