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OpenAI reported that an unreleased internal model ran roughly 10,000 agents for 88 hours, exchanging 2.7 million messages and burning about 130 billion tokens, to produce a finite-time blowup proof for the forced 3D Navier-Stokes equations, then spent 17 more hours formalizing it in Lean 4. The Clay Millennium Prize criteria cover the unforced case, so the million dollars stays on the table. A provenance dispute has erupted over whether de-identified work from two mathematicians shaped the result, which OpenAI denies.
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Meta launched Muse, a personal agent that plans and executes real tasks — booking travel, filling forms, buying tickets, managing calendars — inside a dedicated sandbox called Muse Secure VM with its own browser. It's live in the US on web, iOS, Android and WhatsApp, free at low usage with Power at twenty dollars a month and Maximum at a hundred. The open question isn't capability, it's whether consumers hand Meta their credit card and inbox.
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A joint federal advisory names DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI as systematically extracting billions of tokens from Claude, GPT, Gemini and Grok since late 2024 to train competing models. The agencies say the operations were deliberately spread across providers and payment paths to dodge single-point detection. It's the first time Washington has framed distillation as a national-security extraction campaign rather than a terms-of-service problem.
Relevance 9/10Importance 9/10
Google DeepMind released precomputed predictions for all 9 billion single-nucleotide variants in the human genome — roughly 27,000 molecular predictions per variant, totaling about a petabyte, more than thirty times the AlphaFold Database. It covers gene expression, RNA splicing and chromatin accessibility. Free for noncommercial research via web portal, the AlphaGenome API, and as a skill in Google Antigravity.
Relevance 9/10Importance 8/10
Samsung led a €3 billion Series D valuing Mistral north of €21 billion, co-led by EQT's Scaleup Europe Fund and PSG Equity, with Advent, BlackRock funds and the Grand Duchy of Luxembourg joining a16z, ASML, Nvidia and Salesforce Ventures. That's nearly double last year's €11.7 billion mark. CEO Arthur Mensch says the money goes into owning data centers outright, targeting roughly 100 percent growth in owned compute over five years.
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The AI coding startup behind Devin closed a $2 billion round led by Andreessen Horowitz with Accel, Founders Fund, General Catalyst and Avenir. The $48 billion price tag puts a coding-agent company in the same weight class as some frontier labs. Coding remains the single clearest product-market fit in the entire agent economy, and investors are pricing it that way.
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Qualcomm issued Amazon warrants for 25 million shares at $161.26 apiece, vesting in tranches tied to AWS buying up to $60 billion of Qualcomm server silicon and related tech through 2036. About 3.75 million shares vested immediately. Qualcomm stock rose 4 percent as the company mounts its most serious data-center challenge to Nvidia yet.
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MIIT's newly published 15th Five-Year Plan for information and communications sets a 9,800-EFLOPS intelligent-compute goal, backed by 3.8 trillion yuan — roughly $532 billion — in infrastructure spending. Capacity hit 2,185 EFLOPS by the end of June, up 177 percent year over year, across 52 facilities with more than 10,000 accelerator cards each. The plan explicitly prioritizes adapting infrastructure to domestic chips.
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A Tech Transparency Project investigation found Meta approved 332 ads between November 2025 and August 2026 containing AI-generated CSAM, reaching more than 29,000 accounts. Most used real children's photos digitally altered, and many promoted "nudify" apps traced to Chinese developers and a Meta ad partner. Meta disputes the reach figures.
Relevance 9/10Importance 6/10
Sierra open-sourced hyper-tau-bench, which makes agent construction the task: inherit a codebase, interrogate a client, respect a cost budget, ship a working customer-service agent. The best configuration tested — Claude Opus 5 with Claude Code — passed 23.9 percent of evaluation simulations against an 82.2 percent human-expert reference. Failure modes are painfully human: shallow research, no client communication, shipping the first design that compiles.
