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Google DeepMind launches AlphaGenome Atlas for 9 billion DNA variants

Google DeepMind launched a 1-petabyte map of 9 billion human DNA variants with predictive scores and no-code access for researchers.

🚀 RELEASES & LAUNCHES

  • Google DeepMind launches AlphaGenome Atlas for 9 billion DNA variants
    Google DeepMind launched AlphaGenome Atlas, a 1-petabyte map of 9 billion human DNA variants.

    • The atlas is for academic researchers, clinical researchers, biologists, and genomics labs.
    • It precomputes molecular-effect predictions for every possible single-letter change across the human genome in a 1-petabyte dataset.
    • Its AlphaGenome Variant Impact score combines AlphaGenome and AlphaMissense predictions to rank variants.
    • A no-code portal, API, and Google Antigravity skill make the dataset available for academic research.
    • Researchers used it to find 22% more noncoding associations in data from more than 54,000 UK Biobank participants.
      📄 https://deepmind.google/blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/ · 📎 https://www.scientificamerican.com/article/new-google-deepmind-alphagenome-atlas-could-transform-our-understanding-of-genetic-diseases/ · 👁 via The Verge AI, Google DeepMind Blog

  • Qwen-Drive 1.0 unifies 3D perception, driving Q&A and motion planning
    Alibaba’s Qwen released Qwen-Drive 1.0, an open-weight autonomous-driving vision-language model.

    • For autonomous-driving developers and in-vehicle cockpit systems.
    • The model combines 3D perception, traffic-scene Q&A and ego-trajectory planning in one VLM.
    • A BEV perception head handles 3D detection, occupancy prediction and map segmentation; a Planning Expert generates future trajectories.
    • Reinforcement-learning retraining reduced simulated off-road failures from 24% to 12%.
    • The shared model architecture combines driving functions with general vision-language capabilities.
      📄 https://arxiv.org/html/2609.00111v1 · 📎 https://the-decoder.com/qwen-drive-1-0-tells-you-why-it-brakes-just-dont-expect-the-explanation-to-match-the-maneuver/ · 👁 via r/LocalLLaMA

🔬 RESEARCH

  • OpenAI math proof claim sparks dispute over researchers’ credit
    OpenAI claimed an AI-generated proof of the Navier–Stokes problem.
    • The dispute involves mathematicians using AI tools, including NYU’s Tristan Buckmaster and Anthropic’s Levent Alpöge.
    • Buckmaster and Alpöge announced three related blowup results using Claude and Codex, but not a full Navier–Stokes solution.
    • OpenAI said its internal model produced a Lean-formalized proof of the Navier–Stokes existence and smoothness problem.
    • OpenAI used more than 1,000 agents for over 50 hours; the effort consumed 300 billion output tokens and was estimated at $22.5 million at Astra rates.
    • The allegations raise questions about credit, privacy, and the use of unpublished research in AI-assisted mathematics.
      📄 https://openai.com/index/navier-stokes-solution/ · 📎 https://www.wired.com/story/openai-navier-stokes-math-discovery-academics/ · 👁 via TechCrunch AI, r/LocalLLaMA

📊 BENCHMARKS & EVALS

  • Qwen3-0.6B runs a desktop Chrome agent from a 2017 Galaxy Note 8
    A 400 MB Qwen3-0.6B model on a Galaxy Note 8 drove a desktop Chrome browser.
    • The demonstration targets builders testing local models and browser agents.
    • It used Qwen3-0.6B Q4_K_M with llama.cpp in Termux on a 6 GB Galaxy Note 8 running Android 9.
    • A relay connected the phone to non-headless desktop Chrome; the model received about 200 tokens describing 10 named page links or fields.
    • The surrounding stack handled page capture, candidate selection, clicks, fact retrieval, and verification across 3 tasks and 12 small models, with logs and offline replay.
      📎 https://www.reddit.com/r/LocalLLaMA/comments/1wapzjg/qwen306b_400_mb_on_a_samsung_note_8_2017_phone/ · 👁 via r/LocalLLaMA

💰 BUSINESS & FUNDING

  • Google Cloud and Accenture launch 1,000-engineer Gemini Enterprise unit
    Google Cloud and Accenture launched a unit to deploy Gemini Enterprise for businesses.

    • The unit targets enterprises adopting Gemini Enterprise and agentic AI applications.
    • Accenture Gemini Enterprise Business Group combines Accenture specialists with Google Cloud engineering talent.
    • Google Cloud will train up to 1,000 Accenture forward-deployed engineers to build on-site customer applications.
    • The partnership addresses enterprise AI deployment bottlenecks; YouTube reported 11% higher customer sentiment and 37% lower average handle time in one deployment.
      📄 https://newsroom.accenture.com/news/2026/accenture-and-google-cloud-deepen-partnership-with-formation-of-new-accenture-gemini-enterprise-business-group · 📎 https://techcrunch.com/2026/09/08/google-cloud-races-to-catch-up-in-the-ai-deployment-wars-with-accenture-deal/ · 👁 via TechCrunch AI

  • Claude Max subscribers sue Anthropic over allegedly misleading usage limits
    Claude Max subscribers filed an expanded class action alleging Anthropic misrepresented subscription usage limits.

    • Claude Max subscribers paying $100 or $200 per month are the plaintiffs.
    • The lawsuit alleges Anthropic’s advertised 5x and 20x Pro usage limits are constrained by five-hour sessions and weekly caps.
    • The case challenges how Anthropic discloses paid AI subscription limits to consumers.
    • Anthropic says the restrictions were available through links in the purchase process.
      📎 https://www.theverge.com/ai-artificial-intelligence/990313/anthropic-class-action-lawsuit-pricing-subscription-plans · 👁 via The Verge AI

⚠️ INCIDENTS & SAFETY

  • Meta ran hundreds of AI child-abuse ads, researchers say
    Researchers found more than 350 AI-generated child-abuse ads on Meta platforms.
    • Facebook, Instagram, Messenger, and Threads users were shown ads promoting AI nudification and face-swapping apps.
    • The Tech Transparency Project found more than 350 abusive video ads since late 2025, including images of real children.
    • The ads reached more than 29,000 accounts in the EU and about 7,000 in the UK.
    • Meta removed the ads, but some remained live for days or took a week to review after being reported.
    • The findings raise questions about Meta’s automated ad-review systems, which are supposed to block child exploitation content before publication.
      📄 https://www.techtransparencyproject.org/articles/meta-ran-hundreds-of-paid-ads-with-child-sexual-abuse-imagery · 📎 https://www.wired.com/story/meta-failed-to-catch-hundreds-of-ai-child-abuse-ads-some-included-images-of-real-kids/ · 👁 via Ars Technica AI

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