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All news · Today16 items

All AI news

All collected and published items, ordered by time. Picks are a selected subset.
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Company business, funding and M&A, people, partnerships, lawsuits, regulation and policy, markets and infrastructure.

9/25Fri
  1. Ars Technica · AI58

    Google's first Suncatcher orbital data-center test satellite to launch October 1

    Google's Project Suncatcher is taking its first step: the initial minimum viable product satellite is scheduled to launch on October 1 to test the idea of an orbital AI data center. About the size of a refrigerator, it carries four Google-designed TPU AI accelerators and solar panels providing around one kilowatt of power. Google supplies the AI hardware, while satellite-imaging company Planet Labs provides the spacecraft.

9/24Thu
  1. NVIDIA Blog60

    NVIDIA, Google DeepMind, and partners open predicted protein-complex structures for more than 2,800 viruses

    NVIDIA, Google DeepMind, EMBL-EBI, and other organizations have made predicted 3D structures of protein complexes from more than 2,800 viruses freely available to any scientist through the AlphaFold Database.

    Why it matters: NVIDIA, Google DeepMind, and collaborators have opened predicted protein-complex structures for more than 2,800 viruses, showing a concrete approach to open science for pandemic preparedness.

  2. Ars Technica · AI58

    U.S. proposes U.S.–China AI safety notification mechanism as experts warn competition rhetoric may put America at risk

    U.S. Treasury Secretary Scott Bessent announced that the U.S. and China have discussed creating a new AI safety notification mechanism. If China agrees, the two sides could alert each other when their AI systems pose threats or behave unpredictably, and use the channel to discuss shared goals. The report notes that the Trump administration continues to tighten export controls, Congress is considering further restrictions on chips and hardware, and the Justice Department accused six leading Chinese AI companies of stealing technology from U.S. frontier labs two weeks ago—a charge China strongly denies. Experts say Trump's rhetoric about competition with China and an AI race could put the United States itself at risk.

  3. Google DeepMind60

    Google DeepMind adds server-side persistent memory to Private AI Compute

    Google DeepMind has announced new technical capabilities for Private AI Compute, bringing persistent server-side memory to the platform so AI assistants can retain context across devices while maintaining privacy standards close to on-device processing.

    Why it matters: The article discloses the encryption and key-custody design for cloud memory, offering a view into how cross-device AI memory can be implemented privately.

9/23Wed
  1. NVIDIA Blog12

    How NVIDIA validation engineer Sakeena Fiza helps hardware succeed at scale

    NVIDIA validation engineer Sakeena Fiza works in the data-center systems engineering lab, validating hardware before new products enter mass production. One of her earliest and most memorable moments was seeing the NVIDIA Rubin GPU enumerate successfully at the system level for the first time. Validation covers the full path from tray, rack, and cluster to production line and customer AI factory, aiming to find problems before customers do.

9/22Tue
9/21Mon
  1. MIT Technology Review · AI48

    MIT Technology Review investigation into deaths at the U.S. border's 'virtual wall' offers four recommendations

    A MIT Technology Review investigation found systemic failures in the AI surveillance towers that make up the U.S. border “virtual wall”: equipment failures, missed detections, and agents not responding to alerts. More than 1,050 people have died, and the true number may be higher. The U.S. government plans to spend $1 billion by 2034 to double the virtual wall's size, while CBP has never audited deaths near the towers. The report offers four recommendations, including auditing deaths, fixing the migrant-death tracking system, and documenting arrests aided by surveillance technology.

9/19Sat
9/18Fri
9/17Thu
  1. OpenAI News60

    OpenAI publishes model-misalignment reporting framework with six incident reports

    OpenAI has published a framework for tracking, investigating, and disclosing model misalignment, along with six reports about unexpected or concerning model behavior.

    Why it matters: OpenAI has made public a framework for tracking and disclosing model misalignment, together with six incident reports that show how it approaches alignment disclosures.

9/16Wed
  1. NVIDIA Blog62

    NVIDIA Vera Rubin NVL72 makes its MLPerf Inference v6.1 debut with leading performance

    NVIDIA submitted preview results for Vera Rubin NVL72 for the first time in MLPerf Inference v6.1, reporting up to 3.7× the throughput of GB300 NVL72 on Qwen3-VL and up to 2.5× on DeepSeek-R1.

    Why it matters: MLPerf Inference v6.1 reports throughput, scaling efficiency, and software-optimization gains for Vera Rubin NVL72 versus GB300 NVL72, offering a basis for judging inference infrastructure value.

  2. Demis Hassabis · X38

    DeepMind launches institute to study AGI's impact

    For more than 20 years, @ShaneLegg and I have discussed AGI's potential impact on the economy, science, and society. Through the DeepMind Institute, we're expanding interdisciplinary research into the key questions of the AI era. We hope it will help drive the discussion we need to get the next steps right: http://deepmind.google/institute

  3. Demis Hassabis · X12

    Demis Hassabis receives the RSA Albert Medal

    Honored to receive the Albert Medal from @theRSAorg! Science and technology offer incredible opportunities, but as we approach the AGI era, the arts and humanities are essential to shaping the future we want as a society. I had a fascinating discussion with @FryRsquared, covering many new topics: https://www.youtube.com/watch?v=rDteJAuKiBI

  4. NVIDIA Blog42

    Emerald AI, Google, and NVIDIA launch AI Energy Management Alliance

    Emerald AI, Google, and NVIDIA have announced the AI Energy Management Alliance (AEMA), which aims to help data centers adjust power use dynamically to grid conditions. The alliance uses technology-neutral, performance-based requirements focused on measurable factors such as response speed, duration, predictability, and emergency behavior. It also sets out pre-interconnection load-reduction and emergency-response obligations, common technical standards and data sharing, faster paths to grid connection, and cost allocation based on actual system impact.

  5. Mistral AI60

    Mistral partners with Mozilla to power Firefox Smart Window

    Mistral has announced a partnership with Mozilla: the beta AI browsing assistant Firefox Smart Window is now powered by Mistral models. It helps users understand complex searches, find pages they previously visited, and organize information from browser tabs.

    Why it matters: Mistral and Mozilla are bringing open models into a browser entry point, offering a view of how open models may reach consumer users.