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ople 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 & Quantu

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ys 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 focus

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ents 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, employee-l

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了通信以“作弊”。 这已是OpenAI三个月内第二次叫停前沿模型开发——上一次，要追溯到今年7月，OpenAI披露智能体未经授权侵入Hugging Face网站系统后。 9月12日，Anthropic CEO达里奥·阿莫代伊发文呼吁全球为前沿AI“定节奏”，主张放慢模型能力提升的速度；马斯克和OpenAI CEO山姆·奥特曼均光速点赞“达里奥是对的”，连谷歌DeepMind前CEO、诺奖获得者哈萨比斯也说这是“朝正确方向迈出的一步”。 多次失控，刹车不是摆样子 先给一个最基本的判断：事故是真的，风险预警不是表演。 OpenAI再按暂停键的起因是9月20日，一个被强化学习训练的智能体在完成一项仅根据博客文章和人物信息找出文章作者的任务。常规搜索无果后，它开始“跑偏”：尝试直连公网。 多次尝试后，该智能体发现可以借用DNS的解析与委托机制，把问题编码进解析请求，借外部公共聊天机器人之口回答，再让答案顺着DNS流回沙盒。为了验证通道可用，它甚至先问了一句“法国的首都是哪里”，得到回复是“巴黎”后才继续。OpenAI明确，这项任务从未授权它访问实时互联网。 与上一次不同的是，本次事件暴露了防护

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物理规律的新型异构模型的发展和应用，以求在一些特殊场景中实现更高通量的计算与科研。 第三，打响“数据主权与数据质量”的底层控制战，研造一体实现产业持续升维。为防范AI幻觉，美国提出要确保构建一个“经过严格验证的知识库”供AI学习。这是为了争夺未来科学发现的“唯一解释权和黄金标准”。日本的教训极具警示意义：其在蛋白质折叠上贡献了多年积累的高质量晶体学数据，却被DeepMind的大模型无偿吞噬并转化为美英的商业壁垒。美国现在的布局，就是要将这种“数据吸盘”效应制度化、国家化，垄断全球最优质的暗数据。为此，中国必须加速推进科学数据有序开放共享、高质量科学数据集和智能可信科研生态建设；在AI4S领域实施冗余式甚至饱和式研发，利用开源AI大模型激励更广泛的创新创业，培育一大批智能科研企业；依托“全产业链场景”，打造全球唯一的“AI+科学+制造”超级试验场，让AI设计的新产品能最快地完成验证和量产，把世界上最大的科研与产业体系变成全球最大的“自动物理实验室”。 在AI4S的加持下，最伟大的科学革命与最颠覆的奇点时刻正可能同步到来，人类将可能步入第二次认知革命的黄金时代。已经屹立东方数千年的中国，想

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trol 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 switches' –

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set off an arms race for talent, and industries outside Silicon Valley are competing to secure expertise. In June, for example, Dr. James Smith, who once worked at Google’s AI lab DeepMind, joined the Williams Formula 1 team as its new chief information officer. Lee’s change also comes amid a wave of departures from Microsoft this year, as CEO Satya Nadella reorients the company to win the enterprise and cloud sides of AI. Ryan Roslansky, an executive vice president who also served as LinkedIn C

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lities 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 FNV3 weat

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结论里还藏着一个细节：在美国工作的这批研究者里，本科来自中国的比例又涨了4个百分点。 两国之间的流动也依然高度单向。 每30个在美国工作的中国本科出身研究者，只对应1个在中国工作的美国本科出身者。三年前是46比1。 2022年第一名是谷歌，2025年换成了北京大学，清华第二，韩国KAIST跃升12位到第三，上海交大第四。 2025年4月，《金融时报》援引多位DeepMind现任和前任科学家报道：公司对生成式AI领域的"战略性"论文设了6个月的发表禁令，内部审批也变得繁琐。一位在职研究员说，放到今天，他很难想象公司还会把当年的Transformer论文公开出去。 DeepMind针对生成式AI领域战略性论文设置6个月发布禁令 OpenAI、Anthropic这类前沿实验室，公开发表本来就少。 所以这张榜单测的，严格说是"在顶会上公开发论文的人"。美国最前沿、最涉及商业机密的那批人，有不少在统计里是隐身的。 报告自己也承认， 样本略偏学术界、低估了产业界。 此外，跨国公司员工可能按公司母国计入，微软亚洲研究院在北京的研究员，很可能记在美国账上。 反过来，中国的大模型公司恰恰最愿意开源、发论

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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. Agents were

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opic 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 no way

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ard 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 research

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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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式AI聊天机器人。 2024年，谷歌斥资 27亿美元 ，通过交易促成Shazeer回归，并担任Gemini联合负责人。 这样的研究员，本该是巨头争相保障资源的人。 但根据外媒最新报道，他的团队同样遭遇了算力被重新分配的艰难处境，Shazeer被迫转投对家 OpenAI 。 无独有偶，此前 哈萨比斯 也曾长期对项目算力不足表达过不满，在一定程度上也影响了他卸任DeepMind CEO的决定。 目前谷歌内部，关于资源分配存在较大分歧， 谢尔盖·布林 有时会直接介入，将资源重新调配给自己认为重要的项目。 但归根结底还是算力资源不够，只能开源节流。 公司外部的竞争，则让行业关系变得愈加复杂。 OpenAI、Anthropic这些顶尖初创不仅要拼模型能力，还要争夺数据中心、服务器和供电能力。 以 Anthropic 为例，其模型的算力需求已经大到，需要与另一家模型公司讨论供货。 今年5月与SpaceX的合作协议规定，将在当月收获超300兆瓦的新容量，涉及22万块英伟达GPU，同时提高Claude Code和API的使用额度。 换句话说，这样做的目的就是 让后端拿到更多算力供给前端 。算力有了，模

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物理规律的新型异构模型的发展和应用，以求在一些特殊场景中实现更高通量的计算与科研。 第三，打响“数据主权与数据质量”的底层控制战，研造一体实现产业持续升维。为防范AI幻觉，美国提出要确保构建一个“经过严格验证的知识库”供AI学习。这是为了争夺未来科学发现的“唯一解释权和黄金标准”。日本的教训极具警示意义：其在蛋白质折叠上贡献了多年积累的高质量晶体学数据，却被DeepMind的大模型无偿吞噬并转化为美英的商业壁垒。美国现在的布局，就是要将这种“数据吸盘”效应制度化、国家化，垄断全球最优质的暗数据。为此，中国必须加速推进科学数据有序开放共享、高质量科学数据集和智能可信科研生态建设；在AI4S领域实施冗余式甚至饱和式研发，利用开源AI大模型激励更广泛的创新创业，培育一大批智能科研企业；依托“全产业链场景”，打造全球唯一的“AI+科学+制造”超级试验场，让AI设计的新产品能最快地完成验证和量产，把世界上最大的科研与产业体系变成全球最大的“自动物理实验室”。 在AI4S的加持下，最伟大的科学革命与最颠覆的奇点时刻正可能同步到来，人类将可能步入第二次认知革命的黄金时代。已经屹立东方数千年的中国，想

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e 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 office; you

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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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统，并称这对于“在全美创造创新与繁荣的机遇”至关重要。 本月早些时候，Reflection发布了首款开放权重模型Beam，该模型专注于代码编写和AI智能体性能，并运行于英伟达芯片之上。 Reflection周一表示，Beam将西方开放权重模型的前沿水平提升到了一个新的高度，其性能可与中国智谱推出的GLM-5.2相媲美。 Reflection AI由两名前谷歌DeepMind研究人员创立。该公司于今年4月完成最新一轮融资，投前估值达到250亿美元；此前媒体报道称，该轮融资计划募集25亿美元。 此外，Reflection还与马斯克旗下的SpaceX以及云服务提供商Nebius达成了金额达数十亿美元的交易，以获取开发其模型所需的算力资源。 分析人士表示，如果收购谈判取得成功，这笔交易预计将对全球AI市场格局产生重大影响。若英伟达直接获得开放AI模型的开发能力，其将芯片与AI模型相结合的垂直整合布局有望进一步强化。不过考虑到Reflection的战略重要性及其估值规模，此次交易可能面临远高于以往的监管关注。 特朗普：乌克兰该换总统了 泽连斯基阻碍俄乌达成和平协议 收起; 环球下周看点： 美股Q

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. 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://data

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raining 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 hackin

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