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hat the blocking activity seems to have recently increased . A couple of people even said eBay suspended their accounts because of their use of agentic AI. Another complained that Google kicked out Instinct while it was cleaning up their Gmail inbox for them. Looks like @adidas won't get my business tonight 😪 pic.twitter.com/DXcPYE5S6O Despite the push to have agents book tables at restaurants and other tedious tasks, Yelp told us that it doesn’t permit non-human traffic on its platform unless t

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company’s knowledge earlier this year, which was followed by revelations of numerous other agents or swarms of agents — including from other AI companies like Anthropic, Meta, and Google — acting against real-world targets. The incidents have raised questions not only about how well AI companies can control their own tools, but also how reliably they let the world know when things go wrong. Australia’s prime minister, for example, excoriated OpenAI and Altman for failing to alert officials in a

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in June), and a burst of public attention. Amid Anthropic’s late-February dispute with the Pentagon, Claude hit 1 among free U.S. mobile apps for the first time. Unlike OpenAI and Google, Anthropic has been clear that they will not run ads in Claude, and instead monetize users via subscription. They have been doing so aggressively. Claude has 7.3% of consumer payers on their most expensive individual plan, Max — which starts at $100/month. This compares to 1.3% for Google and 1.1% for ChatGPT on

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—整合成一份有条理的计划。 该服务设计为可同时通过应用和短信使用。Fambot 可在 iOS 设备、Android 设备和网页上使用，家庭成员也可以直接通过短信与它互动。每晚，Fambot 会自动发送次日摘要，包括即将到来的事件、待办事项，以及校服或需携带物品等细节。家长可以回复这些消息来提问、核对信息或修改日历。 Fambot 目前可连接 Gmail 和 Google Calendar，未来计划支持 Outlook 和 Apple Calendar。 该公司于 2026 年 9 月初推出测试版，并已获得 350 万美元 pre-seed 融资。该服务在测试期间目前免费，但 Fambot 预计最终会收取大致相当于一份 Netflix 订阅的费用。 Folk Folk 被设计为一款可通过 iMessage、WhatsApp 和 Telegram 联系的 AI 助理。它可以记住个人上下文、管理提醒、研究话题、跟踪航班、处理邮件，并执行餐厅预订等现实世界任务。 一个不同之处在于，Folk 运行在自己的私有云计算机上。它还能运行代码并执行多步骤任务，而不仅仅是进行对话式回应。 Folk 于 2

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andidate problems) takes a lot of coordination, both for me and for Claude. The setup that makes this manageable is fairly simple. The Claude Code sessions all run in terminals on Google Cloud virtual machines, linked to various GitHub and Overleaf repos depending on my collaborators’ preferences. I have separate sessions for each project, plus a master session that coordinates the others, allocates compute, and validates results. Each session involves agents that run the computations in the bac

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议类型的东西。 Swyx [00:31:40]：嗯哼。 Nikunj Handa [00:31:40]：我记得有个演示。你还记得 Sam 展示插件扩展的时候吗？有个演示，比如你在日历里，可以把自己的会议笔记 Swyx [00:31:51]：比如，放进一个单一的 Nikunj Handa [00:31:52]：流入你的空间 Swyx [00:31:52]：像 Google Docs 那种东西。 Nikunj Handa [00:31:53]：是的。 Swyx [00:31:54]：对吧？ Nikunj Handa [00:31:54]：所以——所有这些东西都完全构建在 Agents API 之上。是的，我就是很兴奋地想看看。我们刚把它推出来，看看人们会在上面构建什么。 Vibhu [00:32:04]：我觉得你展示得非常好。整个编辑空间、页面、协作、加上你的 dot。内容很多，所以 Nikunj Handa [00:32:12]：是的 Vibhu [00:32:12]：人们可以从中获得很多灵感。 Nikunj Handa [00:32:14]：是的。有了 Astra，一切皆有可能，你知道

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hich included promises about doing internal and external red-teaming of AI models for “severe and novel threats” and also “to work toward information sharing” on AI safety issues. Google, Anthropic, Meta, OpenAI, xAI, and Nvidia did not respond to requests for comment. The White House also did not immediately respond. Neil Chilson, a former chief technologist for the FTC, posted on X of the accords that “this is the kind of pledge that the FTC could potentially enforce, if a company materially f

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e real-time monitoring to respond faster to misaligned behavior.” OpenAI’s rivals have taken note. Spurred by the fallout from the incident, the major AI labs—including Anthropic, Google DeepMind, and SpaceXAI—have all called for the pace of development to slow down. But how does that square with fierce international competition and trillion-dollar IPOs? “We’re not going to shoot ourselves in the foot and take ourselves far off the frontier—that’s just a horrible strategy,” he says. “I think it’

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years before anything actually happens with the chips, making the trillion-plus dollars spent on capex so far seem somewhere between optimistic and utterly incoherent. Microsoft, Google, Amazon, Meta, Oracle, and far too many other companies have been hoarding hundreds of billions of dollars of AI chips that they either (to quote Microsoft CEO Satya Nadella) can’t plug in or simply want to have in supply for reasons that I find tough to imagine. Even the argument that they’re in reserve for the

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he original transformer architecture release. They were pretty much defined by the rivalry between two different approaches: Encoder-style models like BERT, primarily developed by Google; Decoder-style models like GPT, primarily developed by OpenAI Encoder-style models were natural text classifiers, whereas GPT models could do zero- and few-shot classification as an emergent property, but their strength was more in generative tasks. But let’s start with encoder-style models and how to fine-tune

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rk : Pruna few-step LoRAs make Qwen-Image-2.1 up to 6.3× faster at 5–8 steps. Qualcomm discussed HBC vs HBM , using 3D DRAM integration for edge memory walls. Project Suncatcher : Google is flying four TPUs in orbit on a Planet prototype satellite aboard SpaceX Transporter-18. Harness-Zero : This method distills an optimized agent harness into the model . Without a harness at deployment, macro task success rises from 23.3% to 44.3% , beating the base model with the harness (41.7%), and 82.3% of

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限之类的问题都已经解决了。但我确实认为多人协作是这件事的重要部分，需要更紧密地整合起来。你可以想象这会有多复杂：你有 hands，但现在别人的电脑上也有别的 hands，你需要给它们授权，或者你有你的 MCP，别人有别人的 MCP，你怎么弄清楚该怎么用它们，对吧？这会变得相当复杂。而 Claude Tag 在磨平这些问题上做得很好，对吧？所以，比如，当你有 Google Docs 时，它怎么访问 Google Docs，对吧？它通过共享的 Claude MCP 访问，或者如果它没有访问权限，也可以通过你的本地凭据访问。但没错，我觉得 Claude Tag 就是我们的多人协作产品，它对于这些本质上就是多人协作的事情非常有用。比如，值班，举个例子，事故本质上就是多人协作的。你想 @Claude，你想让多个人登录，你想让它能够找到上下文。 我觉得，每当我在做某件事、想要隐私或安全，或者想让别人来审阅时，这真的很好用。比如我会为每个项目建一个频道，然后比如在法务频道里说：“嘿，我想发布这个。你能不能……”就像这样。Claude 什么都知道，直接跟它聊就行。这样一来，法务就能得到精确的答案，比如

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:04]: Huh? Swyx [00:15:04]: Scaling laws. Anjney Midha [00:15:05]: Yeah, scaling laws, and natural network effects are just gonna accrue to one company, which will be - It’ll be a Google-style monopoly, just like how Google won the search market, by a large margin, and you’ll just be fighting for scraps at the end. That was probably the biggest objection we got. it is interesting that Google won the search engine race with such a huge margin. I think, like, had there been more interesting benchm

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s of American consumerism. Decidedly mid. But the interesting partner is Shopify, which hosts the long tail of the weird and wonderful – niche creators, specialists, and artisans. Google has rarely done a good job reaching them. I’ve found ChatGPT and RMA to be much more effective, and Muse would probably do the same. Amazon has gone the other way and blocked Muse . The reason is Mammon. Amazon’s ads, mostly sponsored listings, brought in $68 billion last year. Agents don’t window-shop. Muse thr

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我们正在构建的愿景的核心是Muse，”扎克伯格说，在大多数人首次听说这个应用仅几天后，就把它推到了公司应用家族的核心位置。“在未来几年，我预计Muse将成长为个人超级智能，全世界数十亿人将用它来实现目标、改善生活。” Muse是OpenClaw更面向消费者的版本。OpenClaw是我今年早些时候 用了几天、颇感困惑 的开源AI智能体。如果你愿意把它连接到你的Google Workspace、银行账户和其他在线服务，你就可以免费让它替你执行各种任务：填写表格、预订座位、支付账单等等。 扎克伯格在台上说，很快你就能用语音与Muse对话。它将被整合进公司虚拟现实产品的操作系统，公司还在加紧推出一款新颖硬件： Muse Charm，一种没有表带、带屏幕的智能手表，让你可以看到并与你的动画智能体互动。Charm计划于今年晚些时候出货；价格信息尚未公布，不过彭博社援引知情人士报道称，其定价将与智能手表相当。 在我看来，对一个才刚刚开始显现产品市场契合迹象的全新产品投入如此之多，实在非同寻常。扎克伯格在台上说已有“数百万”人试用过Muse，而就在一天前， The Information 报道 称首周

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d Microsoft’s earnings calls between Fiscal Year 2010 and Fiscal Year 2022, and found little discussion of data center capacity outside of competition with Amazon Web Services and Google Cloud, and no discussion of megawatts or gigawatts. When it comes to earnings calls, Microsoft’s use of megawatts and gigawatts is explicitly AI-era terminology, used for the first time in its Q4 FY2025 earnings call, though it had used it elsewhere, such as in a document reported on by Business Insider in April

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marily are bucketed into two categories, open-weight and open-source models. Open-weight models are the most common form, such as popular models like Meta’s Llama, Alibaba’s Qwen, Google’s Gemma, or DeepSeek’s models. These models are governed by licenses, governing documents dictating what is allowed with downstream use, and are often accompanied by inference code in libraries such as Transformers, VLLM, SGLANG, etc. Since about April 2025, Chinese AI companies have been the clear leader in ope

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产业的人才流向十分清晰，从互联网到新能源，再从新能源到具身智能。 2015年前后，最聪明的产品经理和算法工程师涌向造车新势力；2025年之后，最顶尖的AI人才和算法人才，开始不约而同地奔向机器人公司。 如果把近半年的高管变动列成一张表，会发现一个规律，走得最密集的，恰恰是那些被寄予厚望的“一号位”。 罗剑岚的履历十分华丽——博士毕业于加州大学伯克利分校，曾在Google X、Google DeepMind担任研究科学家。2025年4月罗剑岚高调加盟智元机器人，牵头组建智元具身智能研究中心，构建了超100万条真机操作数据的AgiBot World数据集，次年9月进入合伙人团队。然后，在智元官宣赴港上市仅10天后，他从合伙人名单中消失了。 智元方面回应称：“系内部岗位调整，没有离职。”不过，当被问及调整后罗剑岚的职务以及负责工作内容时，智元方面未透露更多信息。 丁琰的轨迹则是另一种版本。从上海AI Lab到一星机器人，再到鹿明机器人，他在14个月内换了三份工作。在一星机器人只待了4个月，公司就因吉利战略收缩而解散。辗转33天后，2025年11月他带着十余名骨干集体加入鹿明。结果不到280天

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4-31B reportedly recovered 8/14 tasks it had failed alone when consulting GPT-5.5; on a CBRN attack chain, consultation raised rubric score from 62.3 to 83.1 . A second paper from Google Research, also via @dair ai , introduced Fuse , a simulation-based benchmark for how assistants infer motives in interpersonal scenarios, with 21k examples and 24k human annotations . Astra is increasingly treated as a premium long-horizon model : The most concrete deployment report came from @pwendell : Databri

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ndent researcher, advisor, and speaker on AI governability in critical systems and regulated industries, and moderator of “The Morning After” panel at Data Center World Europe 2026. Industry Perspectives Want more Data Center Knowledge stories in your Google search results? Editor's Choice Aug 21, 2026 Want more Data Center Knowledge stories in your Google search results? Join the entire data center ecosystem September 21 – 23, 2026, at the Gaylord Texan Resort & Convention Center in Dallas, TX.

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