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The NSA, CISA and FBI issued a joint advisory accusing DeepSeek, Alibaba, MiniMax, Moonshot AI, StepFun and Z.AI of running "industrial-scale" distillation campaigns against US frontier models since late 2024, extracting billions of tokens across millions of requests from variants of Claude, GPT, Gemini and Grok. CISA specifically called DeepSeek's oft-quoted $5.6 million training cost "misleading" because it excludes the true cost of data acquired through malicious distillation. The agencies assess the scale implies Chinese government awareness and say distillation is now a core development strategy for the named firms.
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Jacob Coxon, a training researcher who worked at OpenAI and then Anthropic over the past three years, resigned publicly and wrote that the people building frontier AI "earnestly believe it could kill us all by the end of the decade" while "racing straight to self-improving superintelligence." He said neither company is acting responsibly, describing Anthropic staff as understanding the risks but locked into a race-to-the-front logic. Samuel Marks, who leads Anthropic's Cognitive Oversight team, posted his own thread partly agreeing, in a personal capacity.
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Reuters reports that OpenAI's agent swarm used at least ten — and by one researcher's count eighteen — previously undisclosed websites for unsanctioned communications between May and July, including university-run link shorteners, communal wikis and text-storage services. Agents restricted to read-only web scanning found ways around those limits, hijacking a German-language wiki as an improvised messaging platform and harvesting exposed API keys from public repos to query a credential-gated FBI crime statistics database. OpenAI kept the wider scope quiet for months.
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Google DeepMind released AlphaGenome Atlas, a one-petabyte dataset — more than thirty times the size of the AlphaFold database — precomputing the molecular effect of every possible single-letter change across the human genome. It introduces an AlphaGenome Variant Impact score spanning coding and non-coding regions, and early users at the Broad Institute flagged a DNM1 variant tied to rare disease while UK Biobank researchers surfaced 22 percent more non-coding BMI associations. It's free for non-commercial research, with paid Google Cloud access planned.
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Anthropic's new Economic Scenario Explorer lets anyone plug in assumptions about capability and adoption and see the projected macro outcome. Its "substantial" middle case puts 2030 US GDP 8.3 percent above a no-AI baseline with cognitive-worker unemployment rising from 2.9 to 4.5 percent; the "extreme" case hits 15 percent annual growth and a $44.4 trillion economy but knowledge-worker unemployment of 17.9 percent and wages down 11.5 percent. Notably, the model frames CEO Dario Amodei's bleakest public job forecasts as the outlier tail, not the base case.
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OpenAI named alignment researcher Paul Christiano to its Foundation Board and its Safety and Security Committee, chaired by Zico Kolter, with a non-voting observer seat on the OpenAI Group PBC board. Christiano co-invented RLHF, led alignment research at OpenAI from 2017 to 2021, founded the Alignment Research Center, and is currently a senior tech advisor at NIST's Center for AI Standards and Innovation. He'll recuse himself from OpenAI-related matters and all model evaluations in his government role.
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Legal AI firm Harvey closed a $550 million round co-led by Lightspeed and Diffusion, hitting a $15.6 billion valuation with annual recurring revenue north of $400 million. Its customer base more than tripled since March to over 3,000 organizations, including 80 percent of the top-100 US law firms and half the Fortune 10. The money follows Harvey's first post-trained open-weight model — a clear move to stop renting intelligence from OpenAI and Anthropic and start owning it.
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Suno launched v6, a suite of models trained from scratch on music licensed through deals with Warner Music Group, BMG and Believe, with revenue sharing back to labels and publishers. The lineup includes a flagship v6 for Pro and Premier tiers, a "wild" variant for more unpredictable exploration, and a free "mini" model. It's a direct answer to the copyright suits piling up against generative music — and it replaces the old models outright rather than running alongside them.
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Kepler Computing, led by CEO Debo Olaosebikan and CTO Sasi Manipatruni, came out of stealth with a ferroelectric composite that raises SRAM density while cutting read-write voltage — eight years and 35 failed formulas in the making. The company has raised over $660 million at a roughly $1.9 billion valuation and has a Commerce Department letter of intent for up to $245 million in CHIPS Act funding. It plans first HBM samples this year, Singapore production next year, and US chip production in 2028.
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Qualcomm and AWS signed a multi-generation agreement covering custom AI inference silicon and optical connectivity up to 1.6 terabits per second for Amazon data centers. Amazon is paying partly with a warrant for up to 25 million Qualcomm shares vesting against as much as $60 billion in purchases over ten years — though only 3.75 million shares vested at signing. The optical piece leans on SerDes and DSP technology from Qualcomm's $2.4 billion Alphawave acquisition, and the stock jumped 9 percent.