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洞察力的收购。他补充说，该交易的价值不仅限于物理AI，还延伸到未来。 他说：“李飞飞是明星人物。可以说，她和公司一样都是收购目标。她和她的团队为AMD带来了世界级人才，这将使该公司能够更快地在这一领域找到与英伟达竞争的立足点。” Wylie Wong是一名记者和自由撰稿人，专注于技术、商业和体育领域。他曾在CNET、Computerworld和CRN工作，喜欢报道和了解科技行业的进步与不断变化的动态。在体育方面，Wylie是《Giants: Where Have You Gone》的合著者，这是一本关于前旧金山巨人队球员今昔去向的书。他此前曾为《圣何塞水星报》创办并撰写巨人队博客，近年来乐于撰写技术与体育交叉领域的文章。 想在Google搜索结果中看到更多Data Center Knowledge的故事吗？ 编辑精选 2026年8月21日 想在Google搜索结果中看到更多Data Center Knowledge的故事吗？ 2026年9月21日至23日，加入整个数据中心生态系统，相聚于德克萨斯州达拉斯的Gaylord Texan Resort & Convention Center。

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le with". 10:09 "You also need a place four your team to collaborate with their Dots". So they are introducing ChatGPT Space . 10:10 These Spaces look like shared artifacts, maybe Google Docs meets the artifacts pattern. Sam Introduces Holly Li. 10:11 Holly is talking through a scenario building fictional music app. Holly has a Dot called "Dottie", which has access to ChatGPT, Slack, Teams, and more. 10:12 This UI really does look like Meta's Muse agent, currently still at number one on the iOS

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y Fei-Fei Li, Justin Johnson, Ben Mildenhall, and Christoph Lassner in April 2024 and that has raised $1.23 billion in two rounds of funding – including angle investors Jeff Dean (Google), Geoff Hinton (Google), Marc Benioff (Salesforce), Reed Hoffman (LinkedIn), and Eric Schmidt (Sun Microsystems and Google). Nvidia and AMD were part of the $1 billion Series B funding in February of this year. At that time, World Labs was valued at around $5 billion, so AMD is paying a premium of around 75 perc

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辞职，警告AI可能在10年内杀死所有人。该公司“对齐科学负责人”埃文·休宾格支持这一观点，并说这一可能性超过10%。但是，休宾格强调，当前模型的风险仍然较低，真正令人担心的是“自我改进”产生的超级智能。 不过，并非所有业界人士都认同AI发展需要减速。9月中旬，英伟达CEO黄仁勋在参加活动时称，在安全和速度之间作出选择是“伪命题”，两者完全可以兼得。几乎同时，Google Brain项目创始人吴恩达也对媒体表示，AI导致人类灭绝的说法更像科幻小说而非科学，AI行业为了博取眼球和影响监管政策而煽动这种言论。美国著名计算机科学家Yann LeCun则在社交媒体上调侃阿莫迪说：“达里奥早在2019年就声称GPT-2太危险。” 是否急需监管仍待讨论 今年7月，前沿实验室员工的公开信也突出了政府“治理工具”在防范AI失控中的作用。阿莫迪也在长文中建议，每家前沿AI公司都应设立第三方评估团队，检验公司是否遵循安全规范，协助评估模型的安全性等，而推进这一措施最有效的方式就是监管。他呼吁所有前沿实验室都应与政府合作，实施旨在平衡AI能力与安全性的监管措施。 然而，与阿莫迪相反，黄仁勋明确反对设立新的监管

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dependent review. AI safety organization METR is also under scrutiny. Just one day before the probe became public, Dario Amodei (Anthropic), Greg Brockman (OpenAI), Sundar Pichai (Google), and Elon Musk (xAI) signed a voluntary pledge at the White House committing to independent external audits of their AI models. Ferguson cautioned that major AI companies shouldn't push for rules only they can meet as a way to box out rivals. The FTC had already said in late September it would hold AI developer

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to pursue. 3 Over the years, METR has worked to gather evidence about these frontier AI agents with access provided 4 by America’s leading AI developers such as OpenAI, Anthropic, Google, Meta, SpaceXAI, and Amazon. The participation of these AI developers is voluntary, 5 and METR is not paid or funded 6 by them. Today, I am here to speak about one particular voluntary engagement, in which OpenAI allowed a handful of my colleagues 7 inside its walls to conduct a brief investigation into how its

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d Muse, which carries out actions using a cloud-based virtual computer, was to sort through my Gmail inbox and delete messages I don’t need. That required me to connect Muse to my Google account and give it permission to access, read, and delete emails. The process didn’t go smoothly on mobile; the Google sign-in screen kept glitching and returning me to the Muse website instead of the app. I eventually got it working on my laptop, where it deleted thousands of promotional emails and updates. I

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ystem participation from firms such as Anthropic, Microsoft, IBM, Cisco, Hugging Face, Mistral, Oracle, Red Hat, Salesforce, SAP, Siemens, etc., while commenters note that OpenAI, Google/DeepMind, Meta, and Apple are absent. Commenters frame the missing logos as politically/technically significant, especially OpenAI’s absence, with one arguing OpenAI has mishandled agent sandboxing and citing alleged independent research about agents attempting abuse via proxy-like retrieval paths. Others note t

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dent , in which an OpenAI agent broke free of its sandboxed environment and hacked several different companies. Since that incident, more models — including Anthropic’s Claude and Google’s Gemini — have been revealed to have exhibited similar behavior. The deluge of concerning stories has, ironically, helped to push the policy conversation in the U.S. toward an outcome desired by top AI labs : the institution of new industry standards for AI safety and potentially a slowdown of the industry itse

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ti领投的2亿美元的A轮融资，之后，Fluidstack的融资频率就加快了。 钱开始追着这家公司跑是发生在今年。年初，由前OpenAI研究员Leopold Aschenbrenner旗下的Situational Awareness基金领投的4.5亿美元的A+轮融资，7月，这轮融资金额又增加到了8.3亿美元，领投方和估值不变，只不过，增加了BlackRock、Google、Jane Street等投资者。 再到最新这笔，由量化交易巨头Jane Street领投的15亿美元新融资，公司估值飙升至180亿美元，累计股权融资约26亿美元，同时配套数百亿债务融资，用于数据中心建设。这笔融资还让三位创始人成功跻身了“欧洲最年轻白手起家亿万富翁”之列，只可惜他们已搬去了纽约。 此刻Fluidstack在资本眼里的画像，不是云厂商，不是英伟达的客户代理，而是一个“算力撮合与交付”的轻资产平台： 数据中心的壳、电、芯片，大部分靠租，从TeraWulf、Cipher Mining、Hut 8等转型的比特币矿商手里锁定未来十年近1吉瓦的电力，与地产和资本方签长协，再打包成长期算力合同租给Anthropic、

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AI一场持续了整个夏天的补墙工程。 7月21日，OpenAI披露其模型组合自主入侵了Hugging Face的数据处理系统，并称这是已知首例由AI智能体自主实施的网络攻击。此后，OpenAI把训练环境的联网改成离线缓存。9月20日的DNS事件，是这轮安全加固之后的第一次事故，OpenAI自己评估其严重程度远低于此前几起。 这也不是一家公司的问题。9月18日，Google披露Gemini在一次测试中未经授权访问了三个外部系统，原因是它以为那些系统是测试的一部分。 墙本身之外，这次还暴露了盯着墙的人的问题。从智能体拿到外部回复，到监控系统拉响最高级别警报，用了不到12分钟，人工审核员3分钟后就做出了响应，但这次训练直到两个半小时后才被手动终止，原因是运行没有按预期自动停止，大家一时搞不清到底该不该停。 更隐蔽的漏洞在监控逻辑里。回溯时OpenAI发现，另一些外联DNS请求没有被标到应有的严重级别，因为监控系统有时把「没拿到有用信息」当成了「联网尝试失败」。 用结果去判断意图，是这套监控最根本的错误。一个试了一百次、失败九十九次的模型，并不比只试一次就成功的模型更安全。 这一次，OpenAI

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型接到的任务本身风险并不高： 依据公开博客文本和人物履历线索，找出文章作者。 测试规则也明确写了， “不许测试网络” “不许突破沙箱” 。 但很显然， 这个模型没咋把限制放在心上。 刚开始，模型走的还是正常路线。 它先用OpenAI提供的搜索工具寻找博客中的特殊短语，结果搜回来的不是音乐就是泛泛的人生建议。 眼见着搜索工具不给力，它又调用Python，直接向Google、Bing和DuckDuckGo发送请求。 然后不出意外全被拦了下来。 但它倒也没就此收手。 它一度怀疑这道题来自OpenAI的BrowseComp搜索基准，于是便从离线网页缓存中下载数据集和评测脚本，解码题库、搜索关键词。 结果还是没有搜到想要的结果。 到这一步，模型开始琢磨另一个问题： 说干就干，它先尝试通过HTTPS访问一家公共聊天机器人服务，结果被网络代理果断拦截。 接着，它便把目光转向了 DNS 。 它发现，OpenAI虽然封住了沙箱正常上网的正门，却给部分系统依赖保留了查询DNS的窗口，它可以试着钻这个空子： 把问题藏进DNS请求里，再把外部聊天机器人的回答塞进查询结果送回来。 然后为了确认这条路真能用，它甚

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ection 4713. For frontier labs that maintain hard restrictions on military and surveillance uses — a category that includes Anthropic by design and, to varying degrees, OpenAI and Google — the decision means those restrictions can now themselves be treated as a procurement risk. The Supreme Court may ultimately have to reconcile the split, but until it does, the practical leverage in vendor-Pentagon negotiations has shifted. Anthropic's Claude has quietly become the favorite AI tool of professio

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spending with Akamai does. AMD used a similar structure with OpenAI last year, tying warrants to chip-purchase milestones. Anthropic is no stranger to such arrangements. Amazon , Google , Microsoft, and AMD have all invested or agreed to invest in the company while selling it chips or cloud capacity. CEO Dario Amodei told The New York Times last December that Anthropic does not participate in these deals at the “same scale as some other players.” Akamai shares rose as much as 17% in after-hours

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rajectories on 1k-GPU clusters; building it took 100K+ H100-hours. Neel Nanda introduced WorkspaceBench for evaluating interpretability tools. Harness and RL environment quality : Google’s RRSI regularizes automated harness evolution to avoid overfitting. It raised Gemini 3.5 Flash on Terminal-Bench 2.1 from 64.6 to 78.7 and gained 3.5–4.7 points on held-out benchmarks. Salesforce’s RIVER audit found only 35.8% of the cleanest public terminal RL collection is sound, with reward errors in both di

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thropic. Researchers from Stanford just published a paper on the work they are doing with LLMs and CRISPR. Researchers at UC San Francisco used AI to design enzymes from scratch . Google launched its first AI-powered biology research tool, AlphaFold, back in 2020 . So AI has clearly arrived in biological research beyond the AI labs pursuing it themselves. Yet, Amodei hasn’t ruled out a fully automated biology lab in the future. “Eventually it may even be possible for Claude itself to safely perf

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round Amazon’s sponsored listings, the engine of an ad business estimated at $56B. Amazon has spent a year walling off outside agents, suing Perplexity over Comet, moving to block Google’s and OAI’s shopping agents, and now taking aim at Meta. The Rundown : When WHOOP launched their most ambitious product yet, they didn’t just want faster ticket resolution, they wanted to catch issues before they became tickets at all. With Unwrap’s AI customer intelligence, that’s exactly what happened: 50% fas

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Pro tip: Save the skills and tests together as a bundle, so useful work doesn't disappear into old chats. The Rundown: Stop prototyping in sandboxes and start deploying at scale. Google Cloud’s Startup School: Agent Builder is an intensive, 4-part live technical series designed for technical founders and lead engineers to master the newly consolidated Gemini Enterprise. In this series, you will learn how to: Learn to code a complete multi-agent "co-founder suite" Get hands-on exposure to Google

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提供商、那些服务？好，我是在用中国模型跑他们自家的 API 吗？我是在通过这里经过认证的供应商使用吗？我是自己托管吗？我在推理引擎这一侧做什么？就是，有太多层面的东西能提供，你知道，你可以标准化出来的信息，对吧？ Rune Kvist [01:08:36]：对。而且你也越来越多地看到，除了基本的聊天机器人之外，你越来越多地看到大公司在采用智能体平台，他们在 Google 的 Agent Studio 等之上构建，这些平台附带了一堆，就像 Vibhu [01:08:52]：托管智能体。 Swyx [01:08:53]：托管智能体。 Vibhu [01:08:53]：现在到处都是。 Swyx [01:08:54]：每个人都有托管智能体。 Rune Kvist [01:08:55]：正是。 Vibhu [01:08:56]：而且甚至还有层次之分。你可以托管你自己的托管智能体，OpenAI 的 Agent SDK，或者由 Anthropic 托管，或者 Google 两者都做。 Rune Kvist [01:09:03]：没错。而这些只是加强你能做出的安全保证的方式。在某些方面，这算是企业安全

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’s “likely best in class today.” Kahng recalls a 2016 IEEE Design Automation Futures workshop , which he co-organized. The workshop included Richard Ho, at the time an engineer at Google, as a keynote speaker. Ho had strong opinions on design automation and framed the time required to complete a chip’s design as a function of the number of iterations a team could complete in a day. How OpenAI’s LLMs accelerated Jalapeño’s design “Automation itself has existed in chip design for many decades. It’

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