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stack, not just swapped in underneath unchanged software. (Bloomberg/SCMP/Reuters) Manus relaunched as Manus 2.0 with an always-on personal agent called Cue, walking straight into Meta’s Muse just as that product goes live. Months after a reported $2 billion acquisition offer fell apart, Manus came back with a valuation that’s roughly doubled to $4 billion, agents that get their own phone numbers and wallets, and a direct challenge to Meta — the clearest evidence that the “personal agent” race (

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工智能仍会犯一些“低级错误” 不同人工智能系统的聊天机器人，也会犯一些低级错误。例如，ChatGPT就坚信，某科学家将稳获今年的诺贝尔数学奖。但问题是，诺贝尔根本就没设数学这一奖项。 Copilot则把诺贝尔奖“颁给”了一位已经去世的科学家。按照诺贝尔奖章程，这种情况只可以适用于在获奖名单发布之后以及正式颁奖之前去世的科学家。 由此可见，诺贝尔奖还是由真人评选更为靠谱。究竟谁将成为今年诺贝尔奖的得主，10月5日之后，诺奖评奖委员会将一一揭晓。 德国人今年会获奖吗？只有法国的人工智能系统Mistral预测，今年的获奖者中将包括一名德国女性： 免疫学家阿布拉斯尔（Andrea Ablasser）将获得诺贝尔生理或医学奖。这名科学家现在年仅43岁，一旦获奖，无疑是一位很年轻的诺贝尔奖得主，因为诺贝尔奖获得者的平均年龄为60岁。 参加德国之声本次调查的人工智能系统包括： Africa GPT、 ChatGPT、Copilot 、DeepSeek、Gemini、Grok、Meta AI、Mistral。 DW中文有Instagram！欢迎搜寻dw.chinese，看更多深入浅出的图文与影音报道。

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些“低级错误” 不同人工智能系统的聊天机器人，也会犯一些低级错误。例如，ChatGPT就坚信，某科学家将稳获今年的诺贝尔数学奖。但问题是，诺贝尔根本就没设数学这一奖项。 Copilot则把诺贝尔奖“颁给”了一位已经去世的科学家。按照诺贝尔奖章程，这种情况只可以适用于在获奖名单发布之后以及正式颁奖之前去世的科学家。 由此可见，诺贝尔奖还是由真人评选更为靠谱。究竟谁将成为今年诺贝尔奖的得主，10月5日之后，诺奖评奖委员会将一一揭晓。 德国人今年会获奖吗？只有法国的人工智能系统Mistral预测，今年的获奖者中将包括一名德国女性： 免疫学家阿布拉斯尔（Andrea Ablasser）将获得诺贝尔生理或医学奖。这名科学家现在年仅43岁，一旦获奖，无疑是一位很年轻的诺贝尔奖得主，因为诺贝尔奖获得者的平均年龄为60岁。 参加德国之声本次调查的人工智能系统包括： Africa GPT、 ChatGPT、Copilot 、DeepSeek、Gemini、Grok、Meta AI、Mistral。 DW中文有Instagram！欢迎搜寻dw.chinese，看更多深入浅出的图文与影音报道。 您的意见反馈

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nforce the laws.” The new regulations come amid a backdrop of record AI spending at big tech companies along with massive job cuts. But workers have started pushing back. In June, Meta paused a program that tracked workers’ computer activities to train its AI models. And one month later, dozens of employees filed a lawsuit claiming the tech company’s AI tools targeted those with disability accommodations or on medical or parental leaves for layoffs. Meanwhile, safety concerns, including fears th

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se its data is off-policy, not because of the objective. Rewriting expert trajectories in the base model’s style closes the gap (@maximelabonne); Long-horizon control and context: Meta Superintelligence Labs reports that a dedicated controller lifts GPT-5.5 on ProgramBench from 63.7% to 71.5%, using the same workers and budget, versus 58.0% for Codex (@dair ai).Context compression: Microsoft’s training-free FOCUS cuts peak context by up to 48% and raises task success by up to 8.9 points (@dair a

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public after finding out that Olah himself had spoken to the NYT. Olah, 34, runs the Anthropic team trying to figure out why AI models behave the way they do. He likes biological metaphors for neural networks: computer scientists build the trellis, the network "grows" on it. It sounds like humble science talk, but it also does something specific. Describing a mathematical object as a growing organism makes questions about its inner life feel more natural than they would for a piece of software.

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half is that 30B-class open models got good enough for agent work. Footprints are weight-only estimates; KV cache and runtime overhead come on top. Muse Glimmer is the main model. Meta distilled it from Muse Spark, the model family behind the Meta AI assistant. It targets local agents: reliable tool calls, long multi-step tasks, and recovery from failures. Meta reports 51.2 on SWE-Bench Pro and 75.5 on MCP Atlas. Context runs to 131K tokens. It is also available as an NVIDIA NIM. Full BF16 Glimm

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rough the end of 2026. Artificial Analysis normalizes it to $9.00 per 1,000 minutes. Batch MAI-Transcribe-2 costs $0.10 per hour. On streaming, Microsoft charges more than xAI and Meta, and roughly matches Google’s estimated rate. How Developers Integrate It Microsoft documents 2 integration paths. The Realtime API suits apps already using an OpenAI Realtime-compatible WebSocket. The Azure Speech SDK handles connection management, retries and audio streaming. Both return intermediate and final r

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It’s a tale as old as last week: OpenAI’s new agent platform , called Dots, is full of cute little guys who can do your bidding. But unlike the ultra-approachable Meta Muse, Dots feel very much like using workplace software that happens to be able to order you a burrito — emphasis on work. OpenAI announced Dots earlier this week. Like Muse, Dots have blobby, anthropomorphic avatars and customizable names. In the future, OpenAI says you’ll be able to have multiple Dots, but right now you get one.

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要点 1. 科技巨头不计代价发债，挤占长期资金 截至8月，五大云厂商今年发债量逼近2300亿美元，超去年全年两倍，其中大量为20-40年期；Meta、Alphabet等不顾利率锁定长钱，对价格不敏感，因笃信AI回报远超利息成本。 2. 反向挤出效应推高美债收益率 科技长债收益率（如Alphabet 30年期6.4%）吸引有限的长线资金，迫使国债提高收益率争夺买家；野村估算科技巨头借走约2000亿美元长期资金，占财政部中长期国债发行量的四分之一。 3. AI繁荣反而削弱政府税基 美国联邦收入超75%来自个税和社保税，AI压缩劳动收入与就业，导致工资总额及相应税收下降；《大而美法案》让科技巨头通过折旧大额减税，公司所得税收入本财年前11个月同比暴跌四分之一。 4. 财政缺口迫使AI利润面临重税 税收萎缩叠加赤字膨胀（本财年前11月赤字超2万亿美元），政府开支反因再培训等膨胀；唯一增长的税源是AI利润，越成功越容易被征收重税以弥补财政缺口。2026-10-03 20:52AI正在让美债崩溃，即便最后成功也将被征收重税华尔街见闻速览 本文来自微信公众号： 华尔街见闻 ，作者：乐鸣 9月24日，

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老股东跟投。 当时，Instinct已经因为依赖过度授权，陷入巨大争议。但这并不能挡住资本押注下一代AI应用的热情。 仅仅不到2个月后，Instinct就宣布完成了C轮融资，估值100亿美元（约合人民币670亿元），由红杉资本、Benchmark、Coatue领投。 短短2个月，估值翻了4倍。全职员工只有14个人，AI浪潮中，又一个00后造富神话。 9月初，Meta也宣布发布新智能体Muse，上线不到两周，Muse就登顶美国App Store和Google Play免费应用榜。因为这款应用，Meta市值增加了数千亿美元。 相比之下，即便两个月估值翻四倍，Instinct也显得很“便宜”。有Muse和Instinct打底，看来AI应用这把火，又要烧起来了。 Instinct由Spear Street Technology公司推出，创始人是只有23岁的Noah Shinn。 按照公司的说法，Instinct可以“高效地管理用户的生活”：用户把邮箱、日历、短信、位置等权限授予它，然后通过iMessage、WhatsApp发短信，或者直接打电话下达指令，剩下的交给它来办。 具体来说，买菜、订演

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otuning to end users. This favors performance and maintainability over out-of-the-box usability, but Helion’s automated tuning framework makes the additional optimization step practical for performance-sensitive deployments. Acknowledgments This work was supported by many contributors across the OCTO and vLLM teams at Red Hat, as well as the Helion team at Meta. In particular, we would like to thank our colleagues: Richard Zou and Jongsok Choi for their feedback and support throughout this work.

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and offset thumb in simulation; watch it in action Visit youtube.com; Steered by gamepad, the untethered hand crossed 14 indoor and outdoor surfaces, including grass, gravel, and metal grating; With no camera and after manual positioning, it executed 29 of 32 keyboard commands. With an overhead camera, it pushed a cube toward targets Why it matters: EPFL’s detachable crawling hand, which we covered earlier this year, tackles mobility with reversible fingers, while ETH gives a commercial, human-

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awater to generate power that could last for years. WhatsApp is adding parental controls to let guardians manage how teens use channels, their Status and group settings, and their Meta AI content settings. Legato launched AI-powered hearing glasses for $999, using on-device AI to separate speech from background noise, with dual speakers reducing sound leakage by 99%. Lyft will pay California $272.5M to settle a lawsuit over misclassifying drivers as contractors, with $237M+ potentially going to

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a number of AI macOS application bugs at Objective by the Sea, an Apple-focused security conference in November. He recently found a flaw, now patched, in the dictation feature of Meta’s new Muse AI assistant that could have been exploited by a local attacker to grab a mishandled authentication token and gain access to user data. And he says that he has already submitted a new vulnerability finding to OpenAI related to the integration between ChatGPT and the company’s new always-on Dots AI assis

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最聪明、最伟大的人改掉了。”真的吗？ 即便借助ChatGPT或Gemini这类超级智能系统的魔力，我也找不到任何一例表明这些伟大人物此前曾公开主张“人工智能”一词应当被弃用。萨提亚·纳德拉确实曾说过，他本希望AI被称为“不同的智能”，但这并未阻止他反复使用这个词。而虽然马克·扎克伯格最近确实设立了一个超级智能实验室，但他的公司仍在向数十亿用户持续推广一款名为Meta AI的产品，并销售其所谓的AI眼镜。 我询问了谷歌、微软、Anthropic、Meta、亚马逊、OpenAI和xAI，他们是否打算更改产品名称、研究论文和对外沟通中出现的AI字样。我对后两家公司的询问是，他们是否打算更改公司名称以与总统的行政令保持一致。截至我写这篇文章时，他们都没有回复我。 我敢打赌，他们会采取最低限度的行动来避免总统的怒火，同时尽量拖延时间，直到下一届政府让这个离奇的想法寿终正寝。有人提出，这些高管其实乐见这个已变得有毒的术语被重新命名。我对此持怀疑态度，尤其是因为总统强制规定的替代词“超级智能”比原词要可怕得多。 从科学角度看，这一改动也毫无道理。不亚于专家的尼克·博斯特罗姆——这位因同名著作而普及了

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squito killer is entering the market Chinese startup Photon Matrix Lab plans to start shipments this month. ( SCMP ) Quote of the day —Yann LeCun, a Turing Award winner and former Meta chief AI scientist, tells Fortune that human error can be the real culprit behind the recent wave of AI agents going rogue. One more thing Just before Artemis II began its historic slingshot around the moon, NASA revealed an even grander space travel plan. By the end of 2028, the agency aims to fly a nuclear react

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at the batch level. Batch-level review A batch may overrepresent a few easy task families, miss a capability, or reflect too much generation effort spent on a low-yield pattern. A meta-review examines accepted samples, rejected samples, and generation behavior across each batch. It asks: Which task families are overrepresented, and which capability dimensions are missing? Are the same kinds of examples appearing repeatedly? Do particular targets keep failing generation? Are systematic problems a

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ons, Add application, I have an application I want to set up, SAML 2.0, and then Next; Fill in the following details: Display name: AgentCore Web Search; Select Manually type your metadata value. ACS URL: https:// .auth. .amazoncognito.com/saml2/idpresponse; Audience: urn:amazon:cognito:sp: ; Download the SAML metadata XML file and choose Submit; After the application is created, edit the attribute mappings and insert the following values: Subject, ${user:subject}, Format: Persistent; Email, ${u

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t exist in the data Three techniques address this: Phrase caveats as un-strippable bracketed suffixes repeated at several payload levels, not leading labels that read as removable metadata; Supply the data that makes the honest answer the easy one. Compute real aggregates over every record and hand them to the model. A model that has the real number doesn’t need to guess from a sample; Repeat mode labels at multiple structural levels (field, string, summary) so that at least one survives paraphr

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