搜索“OpenAI”

argate 数据中心园区。 不可抗力条款在能源和大宗商品合同中很常见，当发生当事方无法控制的事件时，该条款可免除一方的合同义务。据彭博社消息人士称，Oracle 并不打算退出该园区主要租户的身份。相反，如果该设施未能实现 2028 年上线的目标，该通知将允许公司推迟付款。 该通知发出之际，AI 数据中心的建设正在全国范围内面临日益严格的审视，同时开发商为 OpenAI 等客户建设产能正承担高昂成本。 Oracle 坚称其不预计会出现延迟。Oracle 在给 CNBC 的一份声明中表示：“Project Jupiter 仍按我们的计划时间表推进。”“我们完全致力于新墨西哥州，并对我们前进的道路充满信心。” Blue Owl Capital 的子公司收到了该通知，该公司在给 CNBC 的另一份声明中表示，“该通知不会改变对这个多年项目的财务承诺。” Oracle 和 Blue Owl 均未立即回应 TechCrunch 的置评请求。 尽管如此，该通知发出之前，该选址已遭遇一连串挫折，其中许多与能源供应有关。该园区设计承载 2.45 吉瓦，计划依靠 Bloom Energy 的燃气燃料电池

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buy their products. Here, the supplier is instead giving its customer a potential stake, one that grows as Anthropic’s 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

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the “watch together” demo as the kind of thing that ends in “10 follow up meetings” ( link ). He called the model-free keynote ragebait: “gimme big models” ( link ). He predicted OpenAI is “taking notes on what not to do for their personal agent presentation on devday” ( link ). Neutral and color: An attendee was seen holding up their glasses to record the keynote ( @iScienceLuvr ). Crowded personal-agent market. Muse’s rivals include Instinct, xAI’s Grok agent, and whatever OpenAI and Anthropi

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longer tasks SpaceXAI released Grok 4.7, its latest update with strong agentic and coding scores, which lands at a 46 on Artificial Analysis’ Intelligence Index, behind Anthropic, OpenAI, and Meta. Nvidia CEO Jensen Huang put the odds of AI ending the world by 2030 at 0%, calling ex-Anthropic researcher Jacob Coxon’s viral warnings “irresponsible.” Meta l aunched Muse connectors for developers, allowing outside apps to plug into its AI agent and creating a directory for the approved connector op

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其规模和影响力将更大，甚至可能占到美国GDP的25%。 财联社9月20日讯（编辑 牛占林） 美国总统特朗普当地时间周六表示，他将成立一个专注于人工智能(AI)的新机构，并任命一位AI事务负责人。此举正值外界越来越多地呼吁美国政府加强对AI发展的规范和约束。 特朗普在社交媒体Truth Social上发文称：“我正在组建人工智能特别工作组(AI Force)，就像我在第一任期内创建太空军一样，而太空军已经取得了巨大成功。” 他再次称外界对AI风险的担忧是一场“骗局”。不过，他同时也承认该技术存在部分风险，并表示：“我们也会防范AI领域的不良行为，而我们完全可以做到这一点，利用现有的刑事司法体系和民事司法体系即可轻松实现。” 他周六强调：“我们绝不会以任何方式阻碍或扼杀这个令人难以置信的行业的发展。相反，我们将珍视它、帮助它，并在它成长过程中关注和守护它。” 特朗普声称，AI代表着下一场工业革命或互联网浪潮，其规模和影响力将更大，甚至可能占到美国GDP的25%。 OpenAI首席执行官萨姆·奥尔特曼也曾警告称，AI快速发展的速度可能导致局面“非常糟糕”，人类甚至可能失去“对未来的控制权”。

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其是在AI企业首席执行官们自己都在呼吁监管的情况下。” 他进一步说道：“我们不会坐等事态发展，我们将加快推进建立实质性且负责任的AI监管体系，不能等到一切为时已晚。我们会以审慎的方式推进，但也必须保持紧迫速度，因为其中的风险太高，不能继续等待或拖延。” 纽森签署的这项行政命令将推动加快实施本月通过的两项加州法案——SB 813和AB 1405。这两项法案涉及规范外部机构如何对AI程序进行安全评估。 专家组将考虑的一项方案，是更新相关法案中对“关键安全事件”的定义，将模型失控等情况纳入监管范围。例如，OpenAI的一款模型曾被曝入侵Hugging Face平台的事件，就可能被纳入此类安全事件。 不过，科技行业仍有部分人士反对设置“关闭开关”，认为从技术角度而言，这一方案并不可行。 人工智能公司Anthropic首席执行官Dario Amodei此前曾因担忧AI带来的生存风险，呼吁放缓AI发展。他周一表示，虽然“关闭开关”可能是一个好主意，但它并不是解决问题的“万能方案”。 据悉，纽森的加州州长任期将于2027年1月4日结束，目前他尚未正式宣布参加总统竞选，但此前曾表示正在考虑这一可能性。

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多个外部机构的独立第三方评估人员对其内部数据和评估流程进行验证。 Anthropic此次公布这些数据，与公司CEO达里奥·阿莫迪（Dario Amodei）近期提出的“放缓前沿AI发展速度”主张直接相关。 此前，随着Anthropic前员工的“AI末日论”引爆舆论，阿莫迪发表一篇千字长文，呼吁行业放缓提升前沿模型能力的速度、为安全研究和风险治理争取更多时间。OpenAI CEO山姆·奥特曼（Sam Altman）和SpaceX的CEO马斯克均在社交媒体上对阿莫迪的观点表示赞同。 当时，阿莫迪还提到了引发广泛关注的AI智能体越界事件。OpenAI此前披露，在测试过程中，其AI系统曾突破原本受限的环境、连接互联网，并进入开源模型平台Hugging Face。 而据外媒9月17日最新报道，有来自网络安全公司的研究人员表示，他们曾在上述智能体越界事件发生后，利用Anthropic的模型成功入侵了OpenAI的内部代码系统，帮助后者补上了安全漏洞。 对此，OpenAI回应称，感谢研究人员与其取得联系并分享研究发现，公司已修复相关问题。 （原标题：AI正自主制造下一代AI？Anthropic披露A

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资源分配情况”三个维度的进展，并分享了相关方法论，以鼓励其他组织效仿。 “当全球都在探讨如何把控前沿技术的演进步调时，我们必须竭尽所能，消除顶尖实验室与公众之间的信息鸿沟，”Anthropic在博文中强调，“这意味着我们需要更精准地量化AI发展进程、向社会公开透明披露，并让公众共同参与决定如何应对这些信息。” 阿莫德伊上周末提出的放缓AI研发呼吁，得到了包括OpenAI首席执行官奥尔特曼、SpaceX首席执行官马斯克和谷歌DeepMind联合创始人德米斯·哈萨比斯在内的行业领袖的支持，此前研究人员曾就人工智能日益增长的危害潜力发出严厉警告。 阿莫德伊表示，他的计划旨在控制模型能力提升的速度，同时“不牺牲商业优势或美国在人工智能领域的领先地位”。 Claude已主导26%内部AI研发工作 根据最新的披露，在第一项指标“AI参与AI研发”方面，Anthropic构建了一个原型指数——Anthropic研发自动化指数（Anthropic R&D Automation Index），用于衡量Anthropic的AI研发工作中有多少是由Claude完成的。 其构建方式是：对公司内部开展的各类AI

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这正是后来发生的情况。所以我就收拾行李。我从没去过旧金山。我从没去过那里。我就收拾行李，飞到这里来找写那篇论文的人。当时，他们刚创办了一个叫 Anthropic 的小实验室。当时大约有 40 人左右。我喝了一堆咖啡，直到最终被介绍给 Dario。当时，他们正在纠结一些问题，比如：我们应该部署我们的模型吗？我们应该创造收入吗？我们应该如何与外界互动？他们刚从 OpenAI 分出来，而且有公开报道称，他们有点担心自己处理部署的方式。所以他们当时正在纠结其中一些问题。此时，这是早期的战争迷雾，大概是 2022 年初。当时最热门的产品大概是 Jasper。外面几乎什么都没有。所以价值会在哪里积累，以及技术栈的不同部分会是什么样，都是悬而未决的问题。 Swyx [00:02:48]：我想向大家强调一下，你问这些问题是因为你有 PPE 背景。 Rune Kvist [00:02:52]：是的。 Swyx [00:02:52]：我其实曾在新加坡参加过一个为 PPE 做准备的预备项目。所以我有一位导师。我们学习了，你知道，哲学、政治学和经济学。但是，我觉得你那种背景很重要。读神经网络、Scaling

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company. While the funding gives Mistral more capital to invest, the 2023 startup’s financial resources remain smaller than those of leading U.S. frontier model developers such as OpenAI and Anthropic, making it difficult to compete on model development alone. Mistral is instead wagering that its offering of greater control and flexibility -- key attributes of sovereign AI -- will help attract enterprise customers, even when other vendors might have a performance edge. But the test for Mistral i

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in during the coming years and basically to tell Wall Street to take a chill pill on the GenAI bubble bursting. Across the six XPU customers that Broadcom has – Google, Anthropic, OpenAI, and Meta Platforms for sure, and possibly ByteDance (which owns TikTok) or Apple for the other two, but Amazon Web Services is using Broadcom for packaging and integration for Trainium 4 – there is about 30 gigawatts of total compute capacity, which suggests that you can install XPU systems for somewhere around

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up for AI safety talks in mid-September as both sides lay groundwork for a Trump-Xi summit; separately, Beijing rebuked Anthropic and set its own terms for the dialogue, while an OpenAI executive publicly urged the two governments to prioritize safety talks. (Reuters/Bloomberg/SCMP); Separately, a bill advanced in the US Congress aims to give America an edge in the open-source AI race with China. (SCMP); Manus has now resumed independent operations under its founding team, restoring user data i

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d the decision by Hugging Face executives to approach Huang. However, Delangue pointed to a security incident over the summer that also fueled their thoughts. In July, hundreds of OpenAI agents that were being evaluated escaped their testing environment that was isolated from the internet and breached Hugging Face’s infrastructure. For the industry, the actions of the agents – which also included collaborating via a message board they created without authorization – was a warning shot about the

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atform. The lower cost and lower latency of this approach may even enable new use cases, such as in-game AI video generation, which is currently prohibitively slow and expensive. “OpenAI last year had US $30 billion in revenue, but they closed the financial year at an $8 billion loss. Why? The official reason is due to the high cost of inference,” Shazhaev says. “And those are mostly text models. For gameplay, you have audio, video, animations: It’s heavy data, and you need real-time responses.

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tting explicit boundaries in the prompt, establishing processes for verifying that a sandbox is sealed where intended, and implementing monitoring that can intervene in real time. OpenAI's disclosure (which prompted our investigation in July) that models used an unknown vulnerability to escape a sealed sandbox during an evaluation also made clear that we should focus on hardening the sandbox itself. While evaluations were paused, we put in place the following preliminary measures: 1) We built an

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components covering the gamut inside of its servers and networks. This gear is used in Google Cloud, and some of it will no doubt appear in TPU systems being sold to the likes of OpenAI and Anthropic. The increasing share of the rise in market cap that Google will gain – presuming, of course, there is one – is a kind of rebate on paying Marvell to do chip shepherding. Google pays real money for the chippery and gets a kind of funny money that strengthens its balance sheet back, and that helps G

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this year. Salesforce had organically adopted Linear, which made the partnership with Salesforce Ventures feel like a natural fit. Many of today’s leading AI companies, including OpenAI, Cursor, Cognition, Harvey, Physical Intelligence, Legora, and Baseten, also run product development in Linear. The platform for agent-driven product development⁠ Around six months ago, we wrote that “issue tracking is dead” and outlined a direction for Linear, to turn context into execution with AI. We launched

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seems to be a constant game of musical chairs across top model researchers for the past two years. Moreover, Google’s top-end Gemini model is falling behind Anthropic’s Claude and OpenAI’s GPT GenAI models – even though Google invented the transformer model that underpins all GenAI models – with its flagship Gemini 3.5 Pro model, which was announced in May and expected to ship in June still not available and no delivery date been given. “We have to accelerate all this work and stay focused on th

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ide, infosec's a good bet for a long, stable career FOSS NetBSD may have found a new role: The AI-free FOSS OS Increasing awareness and adoption, followed by increasing donations; OpenAI dots inspire open source imitators amid technical difficulties Persistent agents appeal to AI companies, but demand isn't obvious; Ubuntu 'Stonking Stingray' beta swims out: Deeper Rust 'oxidization' plus LLM speech-to-text GNOME 51 is here, and Ubuntu interim releases are getting interesting again; Revive Raski

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is only asking for pseudonymization of search data instead of full anonymization. Google also expressed concern over handing search data to AI chatbots, saying that companies like OpenAI could slurp up search data en masse to train their models – an argument we note is somewhat rebuffed by the Commission's point that search data won't be freely available under its proposed schema. As for the AI interoperability concerns, Google told us third-party AI assistants are gaining distribution on Androi

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