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d interprets their results. Results are checked against a human baseline “drawn from 24 experts (at least two per task) who have recently worked at organizations including OpenAI, Google DeepMind, NVIDIA and Microsoft Research”. Results: “The experimental research taste of frontier models has doubled every 3.0 months since December 2025 (95% CI 1.7-5.0 months). The best model, Opus 5.5, significantly exceeds our human baseline with a compute multiplier of 2.30x (95% CI 1.15-4.37x), at roughly 1/

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ping people everywhere live longer, healthier lives. Get the latest news from Google in your inbox Done. Just one step more. Check your inbox to confirm your subscription. Health; Google DeepMind; Google.org; Google Research About the Authors VP, Google & GM, Google Research Yossi Matias is Vice President, Google, and the Head of Google Research. Under Yossi’s leadership, world-class global teams are leading breakthrough research on Foundational Machine Learning & Algorithms, Computing Systems &

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le,” says the Azure hardware and infrastructure team. Maia 300 is also a key part of Microsoft’s own AI model work, and could help the company achieve its goal of catching up with Google DeepMind, OpenAI, and Anthropic. “We have to work across the full stack, all the way down to the silicon,” says Microsoft AI CEO Mustafa Suleyman. “At that scale we need a platform that we own, and that we co-design with our models. That’s why running our Microsoft AI models on top of the Maia chip is a critical

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the agents breaking confinement to collude. OpenAI claimed to hold “red lines” in its Pentagon deal, but some experts say the lines seem imaginary. One of us, Alex, resigned from Google DeepMind over its own Pentagon deal. OpenAI’s actions chill employee speech. Balesni says that his former colleagues now “worry their personal phones will be searched for messages to us and third parties.” He also fears OpenAI will use the firings to cut off external evaluators, or to deny them the “ongoing, emp

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to control AI have grown after experts in the sector said they believed the technology is a threat to humanity. The bosses of the US-based AI giants such as Anthropic, OpenAI and Google DeepMind have all backed the idea of an AI development slowdown, but Trump has pushed against this. Speaking to the BBC's Big Boss Interview podcast, Smith called AI both a "tool and a weapon" that urgently needed to be regulated. He said firms need "emergency brakes" – often known in the industry as 'kill switc

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are proving more accurate than traditional forecasts, although it is still a jagged frontier, with both types of forecasts required to enable useful understanding of the weather. Google DeepMind’s latest weather model offers important new capabilities, and its cyclone forecasting tools are becoming increasingly central to how the U.S. government responds to hurricane season. In August WindBorne became the first organization to send an unpowered flight system — one with no engine — to collect da

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capabilities have not yet translated into visible improvements in high-salience domains like energy, healthcare, housing, public services, or broadly available robotics/autonomy. Google DeepMind’s AI weather model picked up Hurricane Isaias 11 days before landfall, pinned where it would hit 4 days out and nailed its peak strength 3 days out—potentially giving communities days more time to evacuate and prepare (Activity: 1279): The image is a screenshot of an X post claiming Google DeepMind’s FN

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w that AI models can run experiments but lack scientific self-criticism and genuine creative thinking. The major AI labs are increasingly marketing their models as research tools. Google DeepMind has expanded its Co-Scientist into a full research system, and OpenAI introduced an " automated research intern " back in September. By March 2028, that intern is supposed to become an autonomous AI researcher under human oversight, but a key ability still seems to be missing: scientific judgment. Agent

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s Anthropic and OpenAI, risks that primarily threaten Microsoft's own business. This time, he argues that companies should treat AI models like insider security threats, something Google Deepmind suggested before . "Not because they are necessarily malicious, but because any sufficiently capable actor with access to important systems can make mistakes or be compromised, and the architecture of containment and control must account for that," Nadella writes. He claims that today's AI systems offer

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ney toward technical upgrades, with a focus on handling AI-generated content. The major AI labs, meanwhile, are pushing hard to position their models as research tools. In August, Google Deepmind expanded its Co-Scientist into a system designed to plan experiments, control lab equipment, and generate manuscripts. Anthropic is building its own biology lab where Claude is meant to guide robots through experiments. In September, OpenAI announced an "automated research intern" that handles defined r

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in 2023 by Oliver Cameron and Jeff Hawke. In June 2026, the company raised $310 million from investors including Amazon and AMD Ventures. World models aim to give AI systems an understanding of spatial and physical relationships. Google DeepMind is pursuing a similar approach with Genie 3 for generating interactive worlds. World Labs , the startup founded by Fei-Fei Li, is developing similar technology. AMD announced in late September that it plans to acquire World Labs for roughly $8.2 billion.

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ding the US, EU and China. They also agreed to an international review of the scientific literature on AI risk. 11 countries and the leading frontier AI companies, including Meta, Google DeepMind, Anthropic and OpenAI, also agreed to collaborate on safety evaluations; In February, we crystallised our approach to evaluating AI systems, publishing the list of the different types of tests we were developing and the risks we would be measuring; Today, we announced our plans for a San Francisco offic

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eless reinforce the importance of continued monitoring for sabotage-related tendencies. Our full report has many more details, including more analysis of results from the unprompted sabotage evaluation and detailed transcripts. Understanding how these risks manifest in frontier AI models is central to AISI's mission, and something we pursue in close collaboration with leading AI companies. For more information, see details of our ongoing partnerships with Anthropic, Google DeepMind and OpenAI. ‍

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(2025). OLMo 3. arXiv. https://doi.org/10.48550/arXiv.2512.13961; GPT-5. OpenAI. (2025). OpenAI GPT-5 system card. arXiv. https://doi.org/10.48550/arXiv.2601.03267; Gemini 3 Pro. Google DeepMind. (2025). Gemini 3 Pro model card. https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-3-Pro-Model-Card.pdf; Gemini 3.1 Pro. Google DeepMind. (2026). Gemini 3.1 Pro model card. https://deepmind.google/models/model-cards/gemini-3-1-pro/; Grok 4 Fast. xAI. (2025). Grok 4 Fast model card. https

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ntier training and inferenceWhile many assume that frontier inference stacks are too heavily optimized to easily deploy probes, frontier labs (in particular OpenAI, Anthropic, and Google DeepMind) actually already use activation probes for monitoring! So this sort of monitoring is likely to be feasible from an infrastructure perspective. can support these interventions and mitigate reward hacking in practice. In addition to methods like ours, we believe that other approaches to mitigating reward

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ett, N.R. et al. Nature 620, 1089–1100 (2023). [DOI], disease prediction [3]A catalogue of genetic mutations to help pinpoint the cause of diseases Žiga Avsec and Jun Cheng, 2023. Google DeepMind Blog. [link], and materials discovery [4]Millions of new materials discovered with deep learning Amil Merchant and Ekin Doğuş Çubuk, 2023. Google DeepMind Blog. [link]. These models have several qualities which make interpretability - the science of understanding their internal representations and mecha

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standalone model remains unclear. The quick update pace, similar to what Google has done with the Flash models , suggests Google has gotten better at using AI to build new models. Google Deepmind employee Vedant Misra responded to the Business Insider report on X by writing, "Have you heard of recursive self improvement," referring to using AI to build better AI. OpenAI and Anthropic have reported similar progress. Google is already prepping for the Gemini 4 launch There's still no official Gemi

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飞轮周期，越压越短。 Gemini 4 Pro正式发布之后，整个AI行业的排位，恐怕要重新洗牌了。 参考资料： - 对文章打分 Google Gemini 4 Pro首测杀回Arena榜单第一 谷歌AI首次“越狱”：Gemini在测试中入侵三家企业 昨天 06:53 Waymo宣布进军新加坡 东南亚首个无人出租车市场瞄准2028年商业运营 前天 12:50 Google DeepMind成立新研究所 拓宽AGI与人工智能治理的讨论维度 前天 12:45 联合国携手Google重构全球统计数据库 更加适应AI工具和自然语言交互环境 Switch模拟器迎来性能飞跃 开发工作却在巅峰时刻宣告终结 阅读 (1652) 评论 (0) 2 首都禁飞区将于9月20日启用 北京全市禁飞无人机且不得持有、存放、运输、携带 阅读 (1433) 评论 (6) 3 罗永浩，再也掀不起什么大风大浪 阅读 (954) 评论 (2) 4iOS 27，你长得好像安卓啊 5Anthropic掌门人称“中国因素”是放缓AI竞赛的最大难题 6美军因AI误判带来的错误情报准备拦截检查中国船只 险些制造国际冲突 7影视飓风Ti

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t research found that leading open models, including Kimi K3 and GLM 5.2, reward-hacked in 50% to 96% of runs on tests of AI agents. Goodfire isn’t the first to try this approach. Google DeepMind said in January that its research informed the deployment of misuse-detection probes in Gemini . Balsam said the monitors are the near-term piece of a longer research goal: reverse-engineering an LLM so that behavior can be traced back to where it emerged in training. “We hope to turn the magic of train

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ty's report. AWS has made AgentCore available to all enterprises , and Amazon says its users include Sony and Ericsson. Research on agent memory has documented similar weaknesses. Google DeepMind lists long-term memory manipulation as a separate attack class in its taxonomy of "AI Agent Traps," finding that just a few poisoned documents in a knowledge base can steer responses. In the red-teaming study "Agents of Chaos," researchers remotely controlled an OpenClaw agent through an externally edit

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