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AI”，作者：袁心玥，36氪经授权发布。 该文观点仅代表作者本人，36氪平台仅提供信息存储空间服务。+161 好文章，需要你的鼓励字母AI特邀作者19收 藏+10评 论打开微信“扫一扫”，打开网页后点击屏幕右上角分享按钮微 博沉浸阅读返回顶部举报参与评论评论千万条，友善第一条登录后参与讨论提交评论0/1000你可能也喜欢这些文章Meta发布美国最强开源大模型DeepMind AlphaProof Nexus登《Science》：AI自主破解多道56年未解Erdős数学难题抢入口、寻变现，大模型公司为何集体“不务正业”？刚刚，Mac Studio 迎来小扎最强开源模型，苹果等来了最意外的助攻前钉钉总裁叶军，离职一年后创业了，赌大厂做不了也不屑做的「缝隙」AI 脸不够用，普通人也能 “ 卖脸 ” 赚钱了，最高 10000 元？苹果和 Meta 和好了，是 AI 逼的Linux之父也用AI写内核了，曾嘲讽AI「90%是营销」，如今用Claude Code写了8个补丁，性能暴涨3倍我们不该投资更多的「田柯宇」字母AI特邀作者 聚焦前沿科技，抢先看到未来。发表文章496篇 最近内容亚马逊，Age

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报”，作者：任晓宁，36氪经授权发布。 该文观点仅代表作者本人，36氪平台仅提供信息存储空间服务。+11 好文章，需要你的鼓励36氪的朋友们特邀作者0收 藏+10评 论打开微信“扫一扫”，打开网页后点击屏幕右上角分享按钮微 博沉浸阅读返回顶部举报参与评论评论千万条，友善第一条登录后参与讨论提交评论0/1000你可能也喜欢这些文章Meta发布美国最强开源大模型DeepMind AlphaProof Nexus登《Science》：AI自主破解多道56年未解Erdős数学难题亚马逊，Agent最严厉的父亲刚刚，Mac Studio 迎来小扎最强开源模型，苹果等来了最意外的助攻前钉钉总裁叶军，离职一年后创业了，赌大厂做不了也不屑做的「缝隙」AI 脸不够用，普通人也能 “ 卖脸 ” 赚钱了，最高 10000 元？苹果和 Meta 和好了，是 AI 逼的Linux之父也用AI写内核了，曾嘲讽AI「90%是营销」，如今用Claude Code写了8个补丁，性能暴涨3倍我们不该投资更多的「田柯宇」36氪的朋友们特邀作者 TA没有写简介，但内敛也是一种表达发表文章51017篇 最近内容Meta发布美国

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本文来自微信公众号“界面新闻”，作者：陈小同，36氪经授权发布。 该文观点仅代表作者本人，36氪平台仅提供信息存储空间服务。+115 好文章，需要你的鼓励36氪的朋友们特邀作者2收 藏+10评 论打开微信“扫一扫”，打开网页后点击屏幕右上角分享按钮微 博沉浸阅读返回顶部举报参与评论评论千万条，友善第一条登录后参与讨论提交评论0/1000你可能也喜欢这些文章DeepMind AlphaProof Nexus登《Science》：AI自主破解多道56年未解Erdős数学难题抢入口、寻变现，大模型公司为何集体“不务正业”？亚马逊，Agent最严厉的父亲刚刚，Mac Studio 迎来小扎最强开源模型，苹果等来了最意外的助攻前钉钉总裁叶军，离职一年后创业了，赌大厂做不了也不屑做的「缝隙」AI 脸不够用，普通人也能 “ 卖脸 ” 赚钱了，最高 10000 元？苹果和 Meta 和好了，是 AI 逼的Linux之父也用AI写内核了，曾嘲讽AI「90%是营销」，如今用Claude Code写了8个补丁，性能暴涨3倍我们不该投资更多的「田柯宇」36氪的朋友们特邀作者 TA没有写简介，但内敛也是一种表

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业里第一套成体系的动态安全机制。到 2023 年 10 月，Google 领投的一轮让 Anthropic 估值站上 184 亿美元。全球大模型行业告别了早期的 “一超多强”，开始隐隐显现出两家顶尖独立实验室双雄并立的雏形。这一年全球 AI 圈也风起云涌，GPT-4 发布树立新的能力标杆，OpenAI 成立专门团队押注长期安全，马斯克创办 xAI，谷歌整合 DeepMind 推出 Gemini。国内则开启 “百模大战”，百度、阿里等大厂的大模型集中亮相，智谱、月之暗面、深度求索等创业公司也开启密集融资。2024 年是 Anthropic 的爆发年，在各个方向都拿出了代表作。3 月，Claude 3 系列一次性推出三款产品，覆盖旗舰、均衡、轻量三大场景，并补齐了多模态能力。其中旗舰模型 Opus 默认支持 100K 的处理长度，在长文本评测中表现出极高的准确率，首次反超 GPT-4，将长上下文技术转化为扎实的产品竞争力。随后在 6 月登场的 Claude 3.5 Sonnet 模型能力迎来大幅提升，在多项核心指标上追平 GPT-4o；到 10 月推出升级版时，该模型在代码评测集 SWE-

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前夜发起，八州跨党派同步、赔偿可累积且无上限，被路透社视为迄今针对AI公司最大规模州级联合行动，将构成IPO招股书中的或有负债并压低估值；叠加今年6月佛罗里达州首开先例及数十起民间诉讼，标志美国AI监管从联邦立法转向州级诉讼追责，行业合规成本将从“尽力而为”的工程问题重构为需向法庭证明的法律义务。 五、AI 写出 75% 生产代码，却没能加速自主研发：谷歌 DeepMind 的内部报告泼了盆冷水 1.自动化与自主化脱节：谷歌 DeepMind 内部报告显示，超 75% 生产代码由 AI 生成，完全交给 AI 的代码变更比例从 7.5% 升至 11.9%，但约 88% 的变更仍需人工多轮引导与提交前审核，自动化渗透快于自主化。 2.任务复杂度是自主性天花板：覆盖 1389 次内部智能体运行轨迹的测试显示，任务越大、周期越长，零样本成功率越低、人工干预越多；在 Google RE-Bench 的 74 项真实 ML 工程任务中，Argon 解决约一半已完成运行，虽高于 Gemini 3.7 Flash 的 27%，但距全面自动化仍有差距。 3.科研加速缺乏实证：通用能力指数 GCI v1

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进入了阻尼模式，起身瞬间重心没稳住，机身摄像头当场摔裂。这次属于操作失误，维修费当然也是具身智能公司自己承担。 再往前，2025年12月，杭州一家餐饮店开业，请了机器人撑场面，现场铺了厚厚的红毯，机器人走上去重心偏移，一头栽倒，砸坏了店门口的饮料机，主办方说是操作不规范，租赁方说我提前告诉过你地面要平整，最后只能各回各家，损失各担一半。 图源：Google Deepmind 还有更扯的，湖南的租赁商在2025年10月租出去一台机器人，客户要求“裸租”，就是只租机器、不带操作员。还回来以后，机械臂关节有点卡顿，租赁商按返厂维修价从押金里扣了一笔，客户不乐意了，说这机器租之前就有毛病，把他告上法庭，租赁商手里证据不全，打官司耗时耗力，最后押金全额退了回去。 这些案例有个共同点，甲乙双方都没有清晰的责任判定，操作失误的租赁商自认倒霉，场地问题双方私了，设备本身老化的押金就是唯一的裁判。 这不是中国独有的尴尬，2025年1月，澳大利亚昆士兰，一台工业机械臂在维护后重新启动，当场把一名工人撞倒在地，三根肋骨骨折。调查发现，厂里根本没有设备隔离程序，工人进入作业区前机械臂没有被切到安全状态，最后公

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e tool that covers everything from controlling individual robots to recreating published research, and calls it another step toward "physical AGI," a goal it and its AI subsidiary DeepMind have been pursuing for years . A single photo turns into thousands of training runs The Spot demo follows a pattern that shows up across many of Google's examples: Argon uses simulations to prepare tasks, verify them, or generate training data. From a single photo of a table with party props, the model built a

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e specific details on which UK AI labs it was working with but said they were in stealth or just came out of stealth. London-based AI lab Ineffable Intelligence, founded by former DeepMind bigwig David Silver; Inherent, founded by former DeepMind, Microsoft and White House staff; and Recursive Superintelligence, co-founded by high-profile German computer scientist Richard Socher, are examples of UK AI startups coming out of stealth this year. Ineffable Intelligence has struck a deal with Google

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artups, including Deloitte and Box, had early access (Google). Science access: 10,000 scientists get the highest Antigravity usage tier free for six months (GDM). Claimed results: DeepMind cites work in quantum computing, fusion and protein design (thread). Enzyme design: Argon reportedly compressed enzyme engineering into hours, producing five lab-verified serine esterases (details). Robotics demo: From human gameplay video, Argon modeled the physics, coded its own practice simulation and taugh

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me between bites of pizza, “was to help us write infrastructure and do research faster.”[6] Sottiaux had spent much of his career building infrastructure for researchers, first at DeepMind and then at OpenAI. Research infrastructure—the shared code that AI researchers rely on to run, evaluate, reproduce, and deploy experiments—might seem like an odd origin story for the person who would eventually lead Codex. When you think of infrastructure, you might think of servers and undersea cables, the t

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me between bites of pizza, “was to help us write infrastructure and do research faster.”[6] Sottiaux had spent much of his career building infrastructure for researchers, first at DeepMind and then at OpenAI. Research infrastructure—the shared code that AI researchers rely on to run, evaluate, reproduce, and deploy experiments—might seem like an odd origin story for the person who would eventually lead Codex. When you think of infrastructure, you might think of servers and undersea cables, the t

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e UK capital’s status as an important hub for AI talent with some of the brightest machine-learning experts and AI researchers coming out of universities such as Cambridge. Google DeepMind is also based in King’s Cross. The company declined to comment on the figures, which come after a series of AI safety crises involving its models. This summer AI agents, under training, escaped and hacked into an unrelated company website, Hugging Face, while this month one of its safety leaders quit, saying t

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l make high-quality technical reviews more widely accessible for knowledge workers everywhere. Acknowledgments Deep Review is a collaborative effort across Google Research, Google DeepMind, and Google Cloud. We thank our core contributors and research collaborators — Santiago Balseiro, Taylan Cemgil, Tommaso D'Orsi, Kirk Draheim, Lindi Emoungu, Ayse Erduran, Palash Goyal, Caroline Hartnell, Shobana Kannan, Amy Keeling, Siyi Kou, Bridget Lee, Ian Li, Anoushka Mazumdar, Taylor Montgomery, Mouad Na

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test thousands of code variations in parallel, and has helped researchers produce results from biology to cosmology to economics. Co-Scientist, built in collaboration with Google DeepMind, is a multi-agent tool that can generate novel hypotheses and has already helped partners, like researchers at Stanford University, uncover repurposed medicines to fight liver fibrosis. 3. Deep Review helps authors improve the clarity and accuracy of technical documents Thorough peer review is a core part of t

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f multimodal discrete diffusion models conducted to date, providing valuable insights into scaling behaviors across multiple modalities. † University of Cambridge; ‡ MIT; § Google DeepMind; Work done while at Apple Related readings and updates. July 11, 2025research area Methods and Algorithms, research area Speech and Natural Language Processingconference ICML Discrete diffusion is a promising framework for modeling and generating discrete data. In this work, we present Target Concrete Score Ma

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.) Some bonus examples using Gemini 4 Argon: here's Generate an SVG of an armadillo in fishnet tights jaywalking on Mars, here's a Fabergé egg it created for me using Blender, and DeepMind staffer @fofrAI shared a video of a pelican riding a bike, using fourier epicycles. That's a fun new twist! Recent articles Hello Python 3.15, goodbye 3.10, and now I can use 3.11 - 12th October 2026; A new feature for my blog, built using my voice - 9th October 2026; Claude Haiku 5.5 - 7th October 2026; We're

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der翻车了。 结果Muse Wonder交上来的作品既没有玻璃的通透感，里面的熔岩也动不起来，看着就像个随手糊弄的普通台灯。 这么低级的失误直接引来了马斯克围观，他在X上留了一句意味深长的“Hmm”。 花了数百亿美元，Meta难道只练出了一个擅长应试的“做题家”？ Meta AI需要一场翻身仗 过去几年，夹在OpenAI、Anthropic和Google DeepMind中间的Meta，处境一直挺尴尬。 手里握着全球最大的社交平台矩阵，也有Llama开源模型攒下的开发者生态，偏偏在最核心的闭源顶尖大模型牌桌上，Meta始终慢人一步。眼看GPT和Claude轮番刷新能力上限，扎克伯格只能憋屈地扮演追赶者。 小扎心里苦呀。 扎克伯格明显坐不住了。为了改变这一局面，在过去一年里他除了砸重金囤积算力，Meta还专门拉起了一支超级智能团队，把Scale AI创始人Alexandr Wang招致麾下，又从OpenAI和Google DeepMind挖来大批核心骨干。 Muse Wonder就是这场豪赌砸出来的阶段性成果。平心而论，这次新模型倒也真有两把刷子，在不少高难度任务里摸到了顶级模型的门槛

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, and responsible coverage of the rapidly evolving AI compute landscape. Discover More NEURA Robotics Unveils Neuron AI Foundation Model for Physical AI; Danaher and NVIDIA Partner to Integrate AI Into Scientific Instruments; NVIDIA Details AI Agent Deployments for City Operations Across EMEA; Chainguard Introduces Harness for Frontier-AI Vulnerability Hunting; Google DeepMind and GovTech Unveil On-Device Scam Detection Model; Anthropic Asks D.C. Circuit to Rehear Pentagon Supply-Chain Risk Case

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onsible coverage of AI policy and regulatory developments worldwide. Discover More Google Pledges Frontier Models and Compute to European Scientists; VitVio Partners With UCK Gdańsk to Bring 3D Operating Room AI to Poland; Danaher and NVIDIA Partner to Integrate AI Into Scientific Instruments; Chainguard Introduces Harness for Frontier-AI Vulnerability Hunting; Google DeepMind and GovTech Unveil On-Device Scam Detection Model; Anthropic Asks D.C. Circuit to Rehear Pentagon Supply-Chain Risk Case

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with an introductory pricing model that doubles after November 30. The model “excels at deep work in complex, real-world tasks,” Koray Kavukcuoglu, senior vice president of Google DeepMind and chief AI architect at Google, wrote in a blog post. Google said that its engineers used Argon to refactor a legacy folder of about six million lines within Chromium’s 40 million-line codebase, finishing in weeks rather than months. Teams using Argon in Antigravity increased agentic code submissions by more

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