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Friday

  1. heise online

    Anthropic launches proactive AI agent Claude Duet

    Anthropic releases proactive AI agent Claude Duet, based on Claude Opus 5.5, running in a virtual machine with an independent browser, able to monitor email, calendars, and business software on its own and handle tasks in the background. The service is first available in preview to Pro and Max subscribers in the United States, requires joining a waitlist, and can be used via the iOS and Android apps and claude.ai. Duet connects to more than 6000 connectors and plugins, including Gmail, Slack, QuickBooks, Stripe, and others; actions such as payments, signing documents, and deleting files require explicit user confirmation, while securities trading and transfers between accounts are completely prohibited. Anthropic calls it an early version that may misread messages or misjudge urgency, and background checks consume existing Claude plan quotas.

    Anthropic releases proactive AI agent Claude Duet, based on Claude Opus 5.5, running in a virtual machine with an independent browser, able to monitor email, calendars, and business software on its own and handle tasks in the background. The service is first available in preview to Pro and Max subscribers in the United States, requires joining a waitlist, and can be used via the iOS and Android apps and claude.ai. Duet connects to more than 6000 connectors and plugins, including Gmail, Slack, Qu

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  2. Zhi Dong Xi

    Investors in DeepSeek's approximately RMB 100 billion second round of financing revealed: Meituan, Geely, NetEase and others on the list

    Investors in DeepSeek's approximately RMB 100 billion second round of financing include GigaDevice, Meituan, Geely, Midea and existing shareholder NetEase, with more than 15 investors in total; CATL and Tencent are the largest investors. This round sets the record for the largest financing in China's AI industry, with DeepSeek valued at approximately USD 74 billion before the financing. DeepSeek has engaged CITIC Securities as its listing advisor, targeting a listing on the Shanghai Stock Exchange in early next year.

    Investors in DeepSeek's approximately RMB 100 billion second round of financing include GigaDevice, Meituan, Geely, Midea and existing shareholder NetEase, with more than 15 investors in total; CATL and Tencent are the largest investors. This round sets the record for the largest financing in China's AI industry, with DeepSeek valued at approximately USD 74 billion before the financing. DeepSeek has engaged CITIC Securities as its listing advisor, targeting a listing on the Shanghai Stock Exchan

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  3. Hugging Face

    Hugging Face launches a Space to check whether models can run on AWS Trainium

    Hugging Face releases the torch-neuronx model support Space, which lets users view, by download count or trend, whether models on the Hub can run on AWS Trainium, and reports the number of sharded cores, compile-inclusive latency, and peak memory. Currently it only tests Transformers text-generation and image-text models, and only models that fit on 4 Trainium2 devices (up to 16 cores); each model generates 32 tokens for validation, comparing against CPU results in single-core mode, and in sharded mode a small model judges whether the English is fluent. Results come from the public dataset aws-neuron/torch-neuronx-model-support, and the Space also provides run scripts and a NEFF cache command that skips compilation.

    Hugging Face releases the torch-neuronx model support Space, which lets users view, by download count or trend, whether models on the Hub can run on AWS Trainium, and reports the number of sharded cores, compile-inclusive latency, and peak memory. Currently it only tests Transformers text-generation and image-text models, and only models that fit on 4 Trainium2 devices (up to 16 cores); each model generates 32 tokens for validation, comparing against CPU results in single-core mode, and in shard

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  4. ElevenLabs Blog

    How Immobiliare.it scaled from a single conversational agent to an agent network

    Italy's largest real estate platform Immobiliare.it, based on ElevenAgents, scaled from a single conversational agent to an interconnected agent network, increasing lead qualification conversion rate by 3.3x, raising the likelihood of users leaving a phone number for follow-up by 74%, and about 80% of users rated the feature positively. The first agent was deployed on listing pages, responding 24/7 in the local language and summarizing each interaction; subsequently it expanded to agents for private homeowner outreach, listing quality outbound calls, voice and chat customer service, and conversational search, orchestrated with sub-agent division of labor.

    Smiling young man with short brown hair and a trimmed beard, wearing a striped shirt.

    Italy's largest real estate platform Immobiliare.it, based on ElevenAgents, scaled from a single conversational agent to an interconnected agent network, increasing lead qualification conversion rate by 3.3x, raising the likelihood of users leaving a phone number for follow-up by 74%, and about 80% of users rated the feature positively. The first agent was deployed on listing pages, responding 24/7 in the local language and summarizing each interaction; subsequently it expanded to agents for pri

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  5. Huxiu

    What exactly are automakers aiming for by building humanoid robots?

    Automakers building humanoid robots aim to incubate new businesses using the funding, real factory tasks, and supply chain capabilities of their automotive operations—first validating them in manufacturing and store scenarios, then pursuing external customers. Tesla's Optimus has already begun production at the Fremont factory, with external delivery targets still around the end of 2027, and plans to build 10,000 to 20,000 units for training; Figure 02 has accumulated more than 1,250 hours of operation at BMW's factory, and a forearm failure prompted a wrist structure change in the third generation. Hyundai controls Boston Dynamics, XPeng develops IRON in-house, and Mojia leverages Chery's channels—the approaches differ, but whether internal trials can translate into sustained paying external customers remains to be verified.

    Automakers building humanoid robots aim to incubate new businesses using the funding, real factory tasks, and supply chain capabilities of their automotive operations—first validating them in manufacturing and store scenarios, then pursuing external customers. Tesla's Optimus has already begun production at the Fremont factory, with external delivery targets still around the end of 2027, and plans to build 10,000 to 20,000 units for training; Figure 02 has accumulated more than 1,250 hours of op

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  6. Zhidx

    Former OpenAI Chief Product Officer Kevin Weil founded Warp Sciences, raising a $215 million Series A at an $865 million valuation

    Warp Sciences, an AI scientific research startup founded by former OpenAI Chief Product Officer Kevin Weil, has emerged from stealth, completing a $215 million Series A funding round at a post-money valuation of $865 million, led by Lightspeed Venture Partners. The company, founded in San Francisco with a team of about 20 people, plans to use AI, robotics, and automated laboratories to help pharmaceutical companies screen molecular variants in drug development, without developing drugs itself. The approach is still at an early stage, and whether it can run stably and improve experimental efficiency remains to be verified.

    Warp Sciences, an AI scientific research startup founded by former OpenAI Chief Product Officer Kevin Weil, has emerged from stealth, completing a $215 million Series A funding round at a post-money valuation of $865 million, led by Lightspeed Venture Partners. The company, founded in San Francisco with a team of about 20 people, plans to use AI, robotics, and automated laboratories to help pharmaceutical companies screen molecular variants in drug development, without developing drugs itself. T

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  7. heise online

    W3C discussion draft proposes using Web standards to constrain AI agents

    The W3C Strategy team published a discussion draft, "W3C and the State of the Web in the AI Era," proposing the use of Web standards to make AI agents safer, focusing on Prompt Injection protection, controllable permissions, and accessibility. The article was published on October 21 to build momentum for the TPAC meeting; it is a proposal rather than an approved standard, with the official presentation scheduled for October 29. Using travel booking as an example, the article points out that letting an agent search for flights does not equal authorizing it to pay for tickets, and recommends setting spending limits, revocable authorization, and traceable credentials for payments.

    The W3C Strategy team published a discussion draft, "W3C and the State of the Web in the AI Era," proposing the use of Web standards to make AI agents safer, focusing on Prompt Injection protection, controllable permissions, and accessibility. The article was published on October 21 to build momentum for the TPAC meeting; it is a proposal rather than an approved standard, with the official presentation scheduled for October 29. Using travel booking as an example, the article points out that lett

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  8. Numerama

    1Password Launches for Agents, Letting AI Agents Log Into Accounts Without Touching Passwords

    1Password has released 1Password for Agents, allowing AI agents to log into user accounts, but the password is filled in by 1Password itself and immediately withdrawn after a successful login, so the agent cannot read or reuse it. The first batch of integrations is Meta's Muse and SpaceXSI's Grok Bot; integrations such as Claude Duet, ChatGPT Work, dots, and Perplexity have not yet been given a timeline. The feature is included in personal and family subscriptions and currently only supports accounts hosted on 1Password.com; 1Password.eu and 1Password.ca accounts are not yet supported.

    1Password has released 1Password for Agents, allowing AI agents to log into user accounts, but the password is filled in by 1Password itself and immediately withdrawn after a successful login, so the agent cannot read or reuse it. The first batch of integrations is Meta's Muse and SpaceXSI's Grok Bot; integrations such as Claude Duet, ChatGPT Work, dots, and Perplexity have not yet been given a timeline. The feature is included in personal and family subscriptions and currently only supports acc

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  9. Computerworld

    7 hidden highlight features of Googlebook

    Googlebook hides 7 hard-to-notice practical features, including "Look up" instant definitions in the right-click menu, Circle to Search that must be enabled in system settings, customizable shortcut actions at the four corners of the screen, keyboard shortcuts that can be customized and created for any app, and automatic summaries of local files. Automatic summaries only cover locally stored files and do not apply to Drive or a connected Android phone. These features come from the author's short-term trial of a Lenovo Googlebook review unit.

    Googlebook hides 7 hard-to-notice practical features, including "Look up" instant definitions in the right-click menu, Circle to Search that must be enabled in system settings, customizable shortcut actions at the four corners of the screen, keyboard shortcuts that can be customized and created for any app, and automatic summaries of local files. Automatic summaries only cover locally stored files and do not apply to Drive or a connected Android phone. These features come from the author's short

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  10. Fortune AI

    AI Is Everywhere, Yet Not in GDP Data—What Will Trigger the Inflection Point

    AI has permeated every earnings call and boardroom deck, with enterprise generative AI spending reaching $30 billion to $40 billion in 2025, yet productivity statistics show almost no change. The only exception is data center construction: in 2025, hyperscalers invested more than $300 billion in data centers, chips, and power grids, which is already counted in GDP as private nonresidential fixed investment. The author believes AI will not take 15 years to show up in productivity data the way computers did, but only 5 to 8 years.

    AI has permeated every earnings call and boardroom deck, with enterprise generative AI spending reaching $30 billion to $40 billion in 2025, yet productivity statistics show almost no change. The only exception is data center construction: in 2025, hyperscalers invested more than $300 billion in data centers, chips, and power grids, which is already counted in GDP as private nonresidential fixed investment. The author believes AI will not take 15 years to show up in productivity data the way com

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  11. CTech

    Anthropic is hiring human writers at an annual salary of $345,000 to write speeches for executives

    Anthropic is hiring an "Executive Communications Writer" with an annual salary of up to $345,000, requiring at least 8 years of experience, with the work location in San Francisco or New York, and at least 25% of time in the office each week. The role is responsible for writing speeches, public appearances, and strategic messaging for executives, and requires the courage to challenge executives' ideas. Anthropic CFO Krishna Rao once said that AI has already written 90% of the company's code.

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  12. heise online

    The data governance farce before test kickoff and how to resolve it

    Test data problems often stem from a lack of a clearly defined owner rather than poor communication: in data architecture planning, test data has no owning party, and only as test kickoff approaches do insufficient volumes and inability to cover business scenarios come to light. The article proposes introducing a three-tier responsibility model early in architecture design to resolve this dilemma.

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  13. Tessl: Product and Engineering Blog

    When agents write code, who should get deployment permissions?

    The Tessl blog proposes that agents can write code and suggest fixes, but should not have permission to deploy to production; deployment permissions should be given to the CI/CD pipeline. The article cites a case from the Cline repository: a malicious issue title can induce its triage agent to install a package from an attacker's fork, and via a shared build cache steal an npm token to publish an unauthorized version. The author advocates treating everything an agent reads as untrustworthy, and replacing manual code review with short-lived OIDC identities, hash-locked dependencies, and an independent verifier.

    DevCon NYC

    The Tessl blog proposes that agents can write code and suggest fixes, but should not have permission to deploy to production; deployment permissions should be given to the CI/CD pipeline. The article cites a case from the Cline repository: a malicious issue title can induce its triage agent to install a package from an attacker's fork, and via a shared build cache steal an npm token to publish an unauthorized version. The author advocates treating everything an agent reads as untrustworthy, and

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  14. Shao Meng

    How OpenAI defines FDE: consolidating customer-customized Harness into a unified Codex

    OpenAI's FDE team was established in early 2025, with the goal of filling the deployment gap between model capabilities and customers' real-world constraints; the approach is to first get results into production, then consolidate customized solutions into reusable products. In the early days, every use case required extensive customized integration; after Codex became stronger, the team rebuilt the application on Codex, turning customized applications into plugins and skills based on Codex primitives, and self-reports that about 90% of the customized code for each project was removed. In a semiconductor customer case, about 15 FDEs covered 10+ use cases, self-reporting about 48% time savings in targeted test generation and about 22% median performance improvement in kernel optimization; in a telecom customer service voice case, the key evaluation rose from about 60% to 90%+ in about six months.

    OpenAI's FDE team was established in early 2025, with the goal of filling the deployment gap between model capabilities and customers' real-world constraints; the approach is to first get results into production, then consolidate customized solutions into reusable products. In the early days, every use case required extensive customized integration; after Codex became stronger, the team rebuilt the application on Codex, turning customized applications into plugins and skills based on Codex primi

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  15. Shao Meng

    SkyRL extends GLM-5.3-Flash training context to 1 million tokens

    Through four types of system optimizations, SkyRL achieves a single-sequence training length of 1 million tokens for GLM-5.3-Flash on B200, with a peak of about 144.5 GiB, roughly 64 times that of the out-of-the-box Megatron baseline. The optimizations include running DSA on sparse kernels, chunking by query and sharding the indexer by TP, recomputing full-layer activations and CPU offloading layer inputs, and removing redundant fp32 upcasting. On real book data, the 512k peak is about 122 GiB, and 1M (CP=4) is about 109 GiB; the mean absolute difference in logprob between the trainer and vLLM is about 0.04–0.07.

    Through four types of system optimizations, SkyRL achieves a single-sequence training length of 1 million tokens for GLM-5.3-Flash on B200, with a peak of about 144.5 GiB, roughly 64 times that of the out-of-the-box Megatron baseline. The optimizations include running DSA on sparse kernels, chunking by query and sharding the indexer by TP, recomputing full-layer activations and CPU offloading layer inputs, and removing redundant fp32 upcasting. On real book data, the 512k peak is about 122 GiB,

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  16. Rohan Paul

    Meta's new paper proposes RSD: agents can learn from unlabeled historical trajectories

    Meta's new paper proposes the RSD method, which lets AI agents review each step after knowing the task outcome and learn from historical attempts that no one labeled as right or wrong. On ScienceWorld, Qwen3-14B's success rate rose from 12.9% to 20.6%; on ALFWorld, Qwen3-8B reached 76.6%, surpassing all tested methods, including those that received rewards or standard answers. The authors recommend keeping agents' unlabeled run records (including failures) and regenerating the review notes each round, because when notes were frozen at round 3 the ALFWorld success rate stayed at 59.7%, while updating notes each round gave 67.9%.

    Meta's new paper proposes the RSD method, which lets AI agents review each step after knowing the task outcome and learn from historical attempts that no one labeled as right or wrong. On ScienceWorld, Qwen3-14B's success rate rose from 12.9% to 20.6%; on ALFWorld, Qwen3-8B reached 76.6%, surpassing all tested methods, including those that received rewards or standard answers. The authors recommend keeping agents' unlabeled run records (including failures) and regenerating the review notes each

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  17. 36Kr · AI

    Exiting after just 188 days, big-company AI products are accelerating their reshuffle

    36Kr sorted through the product moves of eight companies—Tencent, Alibaba, Baidu, ByteDance, and Moonshot AI, Zhipu, MiniMax, DeepSeek—across ten AI tracks over four years, finding that competition cycles have shortened, product lifecycles have grown shorter, and renaming, integration, and shutdowns have become the norm. Tencent QClaw went from public beta on March 20 to announcing service shutdown arrangements on September 24, just 188 days, with user data to be migrated to WorkBuddy; Alibaba's Qwen announced the upcoming release of its personal assistant product Qwen Go!. Alibaba and ByteDance cover all ten tracks, Tencent and Baidu each cover nine, and DeepSeek covers only two.

    36Kr sorted through the product moves of eight companies—Tencent, Alibaba, Baidu, ByteDance, and Moonshot AI, Zhipu, MiniMax, DeepSeek—across ten AI tracks over four years, finding that competition cycles have shortened, product lifecycles have grown shorter, and renaming, integration, and shutdowns have become the norm. Tencent QClaw went from public beta on March 20 to announcing service shutdown arrangements on September 24, just 188 days, with user data to be migrated to WorkBuddy; Alibaba's

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  18. 36Kr · AI

    Musk says superintelligent compute capacity will be in long-term shortage, SpaceX plans to expand compute to 13 gigawatts by end of 2027

    At SpaceX's Q3 2026 earnings call, Musk said superintelligent compute capacity will face a long-term shortage, with power, cooling and infrastructure constraining supply more than chips. SpaceX's superintelligence business revenue for the quarter was $7.56 billion, surpassing the connectivity business led by Starlink; compute scale rose from 0.6 gigawatts a year earlier to 1.7 gigawatts, with plans to reach 13 gigawatts by the end of 2027. Musk said paid weekly active users of Grok Bot reached 800,000 in early October, and the company also plans to build its own gas turbine blade casting and chip factories to ease bottlenecks.

    At SpaceX's Q3 2026 earnings call, Musk said superintelligent compute capacity will face a long-term shortage, with power, cooling and infrastructure constraining supply more than chips. SpaceX's superintelligence business revenue for the quarter was $7.56 billion, surpassing the connectivity business led by Starlink; compute scale rose from 0.6 gigawatts a year earlier to 1.7 gigawatts, with plans to reach 13 gigawatts by the end of 2027. Musk said paid weekly active users of Grok Bot reached 8

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  19. 36Kr · AI

    AI mass-generates e-commerce videos: a 5-person team produces over a thousand per day, at under 5 yuan each

    Yunying Research Society analyzes that AIGC is taking over the mass-production stage of e-commerce recommendation videos; a team of about 5 people can generate over a thousand videos in a few minutes, at under 5 yuan each, while manual shooting costs about 100 to 200 yuan per video. The specific approach is to first break out fixed blocks and variable blocks to form a template, then use low-cost models such as Grok Video and the Seedance entry version to test hooks and directions, and after getting data, switch to Veo, Sora, and the Seedance HD version to produce finished products. The article also mentions that Douyin, Xiaohongshu, and Video Accounts all tightened AIGC content review this year, and that Ocean Engine reported at the end of August that it had shut down more than 50,000 violating accounts, and holds that once materials are no longer scarce, judgment and aesthetics become the new threshold.

    Yunying Research Society analyzes that AIGC is taking over the mass-production stage of e-commerce recommendation videos; a team of about 5 people can generate over a thousand videos in a few minutes, at under 5 yuan each, while manual shooting costs about 100 to 200 yuan per video. The specific approach is to first break out fixed blocks and variable blocks to form a template, then use low-cost models such as Grok Video and the Seedance entry version to test hooks and directions, and after gett

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Thursday

  1. Latent Space

    Moshi CEO Anekha Sokhal: Turning market data into actionable insights for traders

    Moshi CEO Anekha Sokhal said on the Latent Space podcast that Moshi is a recommendation engine that connects market information with traders' positions, describing it as a combination of Bloomberg, Claude and Netflix. She previously traded energy derivatives at JPMorgan, and the startup idea came from the fact that while trading, the volume of information far exceeded what one person could read. She also discussed trusted sources, document extraction (using Reducto), and the trade-offs between building models in-house and buying them.

    Moshi CEO Anekha Sokhal said on the Latent Space podcast that Moshi is a recommendation engine that connects market information with traders' positions, describing it as a combination of Bloomberg, Claude and Netflix. She previously traded energy derivatives at JPMorgan, and the startup idea came from the fact that while trading, the volume of information far exceeded what one person could read. She also discussed trusted sources, document extraction (using Reducto), and the trade-offs between b

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