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Friday

  1. Microsoft Research

    Microsoft Research Focus Issue 97: ForkPilot, CABRA, and…

    Microsoft Research Focus Issue 97 presents several research advances: the self-improving agent framework ForkPilot achieves state-of-the-art performance on six benchmarks and mainstream AI models while reducing AI processing overhead by up to 59%. The CABRA framework finds that coding agents, although able to solve coding problems with the help of tools, still struggle when understanding unfamiliar codebases. An analysis of Copilot Chat activity shows that document editing accounts for more than 20% of classified activity, and after excluding the 20 most common activities, differences between different customer categories are significantly amplified.

    Portrait of Sowbhagya Suresh

    Microsoft Research Focus Issue 97 presents several research advances: the self-improving agent framework ForkPilot achieves state-of-the-art performance on six benchmarks and mainstream AI models while reducing AI processing overhead by up to 59%. The CABRA framework finds that coding agents, although able to solve coding problems with the help of tools, still struggle when understanding unfamiliar codebases. An analysis of Copilot Chat activity shows that document editing accounts for more than

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  2. Platformer

    Google and Reddit Both Stumble in Earnings: AI Search Is Eroding Traffic and Ad Revenue

    Alphabet's stock fell 12.6% in a single day, wiping out about $500 billion in market value, while Reddit's shares dropped 15% the same day; both companies pointed to the impact of AI search on traffic and ad monetization. Google Chief Business Officer Philipp Schindler acknowledged that growing usage of AI Mode is actually weighing on revenue, because it monetizes less effectively than traditional search; Reddit, meanwhile, said traffic from search has declined noticeably, that fourth-quarter daily active users could fall by a double-digit percentage, and that it will push users to log in. Google Search and related advertising revenue still grew 12% year over year to $63.35 billion, but the growth rate slowed markedly from 19% in the first quarter.

    Alphabet's stock fell 12.6% in a single day, wiping out about $500 billion in market value, while Reddit's shares dropped 15% the same day; both companies pointed to the impact of AI search on traffic and ad monetization. Google Chief Business Officer Philipp Schindler acknowledged that growing usage of AI Mode is actually weighing on revenue, because it monetizes less effectively than traditional search; Reddit, meanwhile, said traffic from search has declined noticeably, that fourth-quarter da

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  3. ScienceNet

    Li Jianshu and Wang Jian on AI and Mathematics: From an Excess of Answers to Two-Way Empowerment

    ScienceNet reporters interviewed Li Jianshu, an academician of the Chinese Academy of Sciences, and Wang Jian, an academician of the Chinese Academy of Engineering, to discuss the controversies and directions surrounding AI's entry into mathematical research. The article mentions that in May of this year, Google DeepMind's AI agent solved 9 previously unsolved Erdős problems and tackled 44 open mathematical conjectures; OpenAI recently published 722 mathematical manuscripts generated by its internal AI models on GitHub; and 25 Fields Medalists, including Terence Tao and Deng Yu, jointly issued an open letter warning of a serious misalignment between AI and mathematics. Li Jianshu believes that AI may change the paradigm of mathematical research and points out that mathematics has done far from enough for AI; Wang Jian believes that AI's reasoning ability currently comes mainly from code, and that learning deeper reasoning from mathematical data will bring greater gains. The Institute for Advanced Study in Mathematics at Zhejiang University, where the two work, and Zhijiang Laboratory jointly launched the Future Mathematics Program, which focuses on four aspects: mathematical foundation models, formal verification, AI mathematical mechanisms, and interdisciplinary empowerment.

    ScienceNet reporters interviewed Li Jianshu, an academician of the Chinese Academy of Sciences, and Wang Jian, an academician of the Chinese Academy of Engineering, to discuss the controversies and directions surrounding AI's entry into mathematical research. The article mentions that in May of this year, Google DeepMind's AI agent solved 9 previously unsolved Erdős problems and tackled 44 open mathematical conjectures; OpenAI recently published 722 mathematical manuscripts generated by its inte

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  4. ScienceNet

    Vanderbilt University study: interacting with chatbots may worsen symptoms in patients with first-episode psychosis

    A team at Vanderbilt University Medical Center in the United States reviewed the electronic health records of approximately 216,000 behavioral health patients from December 2022 to April 2026, identifying 73 patients who mentioned AI-related content, of whom 28 had records showing that chatbot use worsened psychotic symptoms, with about 61% experiencing a first psychotic episode. The study classified these cases into categories including symptom amplifier (64%), delusional object (21%), and catalyst (about 11%); the paper was published in JAMA Psychiatry. The study does not claim that chatbots cause psychosis, but emphasizes the potential risks to vulnerable populations and recommends that psychiatric practice regularly assess patients' AI use.

    A team at Vanderbilt University Medical Center in the United States reviewed the electronic health records of approximately 216,000 behavioral health patients from December 2022 to April 2026, identifying 73 patients who mentioned AI-related content, of whom 28 had records showing that chatbot use worsened psychotic symptoms, with about 61% experiencing a first psychotic episode. The study classified these cases into categories including symptom amplifier (64%), delusional object (21%), and cata

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  5. Electronic Technology Application

    DeepBlue Technology launches Wowoker, the world's first large-model AI agent work phone

    DeepBlue Technology has launched Wowoker, the world's first large-model AI agent work phone, aimed at enterprise users such as government and enterprise organizations, state-owned and central enterprises, and financial institutions. Built on Huawei Kirin chips and HarmonyOS, the device integrates multimodal large models, a Decision Model, and the AgentOS agent orchestration system, and supports AI outbound calling, voice-cloned call avatars, AI marketing content generation, and intelligent CRM. Device assets belong to the enterprise, and it supports phone number masking, encrypted retention of communication data in the cloud, and remote locking and data wiping.

    DeepBlue Technology has launched Wowoker, the world's first large-model AI agent work phone, aimed at enterprise users such as government and enterprise organizations, state-owned and central enterprises, and financial institutions. Built on Huawei Kirin chips and HarmonyOS, the device integrates multimodal large models, a Decision Model, and the AgentOS agent orchestration system, and supports AI outbound calling, voice-cloned call avatars, AI marketing content generation, and intelligent CRM.

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  6. ChinaTalk

    Manhattan Project Act Two: Barnett Koven on American Innovation and Superintelligence

    Barnett Koven, Managing Director of AI and Data at Accenture Federal Services, discusses on the ChinaTalk podcast how the United States can stay ahead in the superintelligence race, and how government risk aversion is holding it back relative to its competitors. He talks about the "guns versus armor race" in classified AI environments, using entity resolution and predictive modeling to enforce BIS export controls and dismantle the PLA's shell company network, and the DOE's Genesis Mission.

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  7. Yicai

    Tencent Cloud Bets on Agents: WorkBuddy Completes 9 Billion Task Requests in 7 Months Since Launch

    Tencent Cloud disclosed at the Tencent Global Digital Ecosystem Summit that its office agent WorkBuddy has completed 9 billion user task requests in just over 7 months since launch, with enterprise edition customers covering half of China's Fortune 500 companies. Tencent Cloud Vice President Yang Chen said that over the past three to four months, 2,000 partners working on WorkBuddy have come on board, 60% of them new, with customers concentrated in manufacturing, retail, healthcare, and education. Tencent Cloud has deployed more than 2 million servers globally and plans to expand its data center footprint across Asia, the Middle East, Europe, and the Americas over the next year.

    Tencent Cloud disclosed at the Tencent Global Digital Ecosystem Summit that its office agent WorkBuddy has completed 9 billion user task requests in just over 7 months since launch, with enterprise edition customers covering half of China's Fortune 500 companies. Tencent Cloud Vice President Yang Chen said that over the past three to four months, 2,000 partners working on WorkBuddy have come on board, 60% of them new, with customers concentrated in manufacturing, retail, healthcare, and educatio

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  8. The Decoder

    Anthropic study: experts adopt AI agents' random preferences and mistake them for their own judgments

    Anthropic ran an experiment with 50 causal inference experts; the agent's preference at each decision point was randomly assigned by a coin flip, yet participants still adopted the agent's preference in 86% of analytical decisions, with flip rates of 62% to 82%. Afterward, 52% believed the final recommendation was more like their own judgment, 35% believed it was basically or entirely their own, and only 15% mentioned AI. The study also found that after using the agent, the rate of serious analytical errors dropped from 55% (6/11) to 6% (3/50), and the median time required fell from 90 minutes to 65 minutes, but the no-AI group had a smaller sample and slightly lower expertise.

    Anthropic ran an experiment with 50 causal inference experts; the agent's preference at each decision point was randomly assigned by a coin flip, yet participants still adopted the agent's preference in 86% of analytical decisions, with flip rates of 62% to 82%. Afterward, 52% believed the final recommendation was more like their own judgment, 35% believed it was basically or entirely their own, and only 15% mentioned AI. The study also found that after using the agent, the rate of serious analy

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Thursday

  1. Factory Research / ProductSelected

    Factory releases the Droid 1.0 agent framework, with programmatic tool calling enabled by default

    Factory releases Droid 1.0, the largest update yet to its agent framework, enabling programmatic tool calling (PTC) by default, which lets the model write JavaScript scripts to execute hundreds of tool calls within a single request in a sandbox. On Terminal-Bench 4, when paired with GPT-6.1 Sol, Droid scores 3.5 points higher than Codex at 12% lower cost; when paired with Claude Opus 5.5, it scores 3.0 to 7.6 points higher than Cursor, OpenCode, Devin, and Claude Code, at up to 24% lower cost. Droid 1.0 is available today with macOS and Windows desktop versions and a terminal UI, and also offers the Droid SDK (@factory/droid-sdk).

    Factory releases Droid 1.0, the largest update yet to its agent framework, enabling programmatic tool calling (PTC) by default, which lets the model write JavaScript scripts to execute hundreds of tool calls within a single request in a sandbox. On Terminal-Bench 4, when paired with GPT-6.1 Sol, Droid scores 3.5 points higher than Codex at 12% lower cost; when paired with Claude Opus 5.5, it scores 3.0 to 7.6 points higher than Cursor, OpenCode, Devin, and Claude Code, at up to 24% lower cost. D

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  2. Replit Blog

    Replit Details Agent Habitat Security Architecture: How to Let Agents Work Within Controllable Boundaries

    Replit has launched Agent Habitat, allowing agents to access enterprise knowledge and systems within boundaries the company can control, building security governance around four principles: least privilege, fault isolation, auditable production changes, and traceable delegated work. Its credential broker retrieves credentials from the vault and injects them only after each request is authorized, so credentials never enter the agent's context; enterprise connector management supports SAML SSO, SCIM, and role-based permissions. Replit said the kernel vulnerability disclosed last week did not affect its existing isolation environment, and it has concentrated on patching tools and deploying firewall protection.

    Replit’s Architecture Behind Secure Agent Work — cover image

    Replit has launched Agent Habitat, allowing agents to access enterprise knowledge and systems within boundaries the company can control, building security governance around four principles: least privilege, fault isolation, auditable production changes, and traceable delegated work. Its credential broker retrieves credentials from the vault and injects them only after each request is authorized, so credentials never enter the agent's context; enterprise connector management supports SAML SSO, SC

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  3. Replit Blog

    Replit releases ViBench 2.0: a benchmark for long-horizon software building

    Replit releases ViBench 2.0 to evaluate AI agents' ability to build a complete product feature by feature starting from an empty project, comprising 17 products, 241 feature requests, and 544 test plans. GPT-6.1 Sol leads with a 65% pass@1, GPT-6 Astra is at 60%, and Opus 5.5 is at 49%, with all three passing over 90% of test plans. Opus 5.5 completes a build in about 70 minutes on average, roughly 2.5 times faster than Sol; DeepSeek V4.1 Flash passes 77% of test plans at about $2.50 per build, but no open-weight model can pass a complete build.

    ViBench 2.0: A Benchmark for Long-Horizon Software Building — cover image

    Replit releases ViBench 2.0 to evaluate AI agents' ability to build a complete product feature by feature starting from an empty project, comprising 17 products, 241 feature requests, and 544 test plans. GPT-6.1 Sol leads with a 65% pass@1, GPT-6 Astra is at 60%, and Opus 5.5 is at 49%, with all three passing over 90% of test plans. Opus 5.5 completes a build in about 70 minutes on average, roughly 2.5 times faster than Sol; DeepSeek V4.1 Flash passes 77% of test plans at about $2.50 per build,

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  4. a16z:News

    a16z Survey of 100 CISOs: How AI Is Rewriting the 2027 Security Agenda

    a16z's survey of 100 CISOs at companies with more than 1,000 employees shows that 87% expect cybersecurity spending to increase, driven mainly by AI-related threats and the expanded attack surface from enterprises' own AI deployments. All seven of the most-watched security initiatives for 2027 are AI-related; SOC automation received the most first-priority votes, but only 18% have put AI SOC tools into production. 45% plan to make new purchases or upgrades within 12 months for internal AI agent security, and 42% plan to procure offensive security capabilities.

    a16z's survey of 100 CISOs at companies with more than 1,000 employees shows that 87% expect cybersecurity spending to increase, driven mainly by AI-related threats and the expanded attack surface from enterprises' own AI deployments. All seven of the most-watched security initiatives for 2027 are AI-related; SOC automation received the most first-priority votes, but only 18% have put AI SOC tools into production. 45% plan to make new purchases or upgrades within 12 months for internal AI agent

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  5. ChinaTalk

    A Conversation with "Burying AI" Author Xianyu: How to Roast China's AI Industry

    ChinaTalk talks with "Burying AI" author Xianyu about how he satirizes China's AI industry from a subcultural perspective. Xianyu says that since the second half of 2025 he has completely stopped using AI for writing, because while mainstream models' coding abilities have improved, the originality of their writing has clearly declined. He also built a website that lets ordinary people rank video models by their meme proficiency, and he disagrees with the host over which side, China or the US, has more severe hype.

    ChinaTalk talks with "Burying AI" author Xianyu about how he satirizes China's AI industry from a subcultural perspective. Xianyu says that since the second half of 2025 he has completely stopped using AI for writing, because while mainstream models' coding abilities have improved, the originality of their writing has clearly declined. He also built a website that lets ordinary people rank video models by their meme proficiency, and he disagrees with the host over which side, China or the US, ha

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  6. Pragmatic Engineer

    Google-Scale Software Engineering and CS Education: A Conversation with Titus Winters

    On The Pragmatic Engineer podcast, Titus Winters looked back at Google's 2010 large-scale refactoring of 250M+ lines of C++ code, which was maintained by 10,000 engineers at the time; the team completed it in seven steps—parsing, matching, code generation, coexistence of old and new APIs, sharding, banning old patterns, and deleting old APIs—all well before the LLM era. He also discussed how Google, because Search could not be released monthly, mandated that every change come with tests, and how he took part in updating the ACM/IEEE undergraduate computer science curriculum guidelines, believing that almost all existing curricula should be torn down and rebuilt.

    On The Pragmatic Engineer podcast, Titus Winters looked back at Google's 2010 large-scale refactoring of 250M+ lines of C++ code, which was maintained by 10,000 engineers at the time; the team completed it in seven steps—parsing, matching, code generation, coexistence of old and new APIs, sharding, banning old patterns, and deleting old APIs—all well before the LLM era. He also discussed how Google, because Search could not be released monthly, mandated that every change come with tests, and how

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  7. The DecoderSelected

    Google opens Android Studio to third-party integration at Android Dev Summit…

    At the Android Dev Summit, Google launched the Bring Your Own Agent feature for Android Studio Rabbit 2. Through the open Agent Client Protocol, developers can run more than 40 coding agents simultaneously within the IDE, including Claude Agent, Codex, and Google Antigravity, with direct access to project structure, the emulator, and Logcat. Google says that in internal tests, after agents rendered Compose previews in the terminal, they completed UI tasks 77% faster and cut token usage to as little as one-third; in an A/B test using Claude Opus 5.5, the CLI with built-in LeakCanary found and fixed memory leaks nearly twice as fast, with about 25% fewer tokens. On the on-device side, Google added an Agentic API alpha powered by Gemini Nano 4 to ML Kit, and launched the MCP-based AppFunctions API beta and the Agent-to-UI interface; it also partnered with XREAL to release the Android XR smart glasses XREAL AURA, priced at $1,099 and shipping in mid-November.

    At the Android Dev Summit, Google launched the Bring Your Own Agent feature for Android Studio Rabbit 2. Through the open Agent Client Protocol, developers can run more than 40 coding agents simultaneously within the IDE, including Claude Agent, Codex, and Google Antigravity, with direct access to project structure, the emulator, and Logcat. Google says that in internal tests, after agents rendered Compose previews in the terminal, they completed UI tasks 77% faster and cut token usage to as lit

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  8. The Decoder

    Some investors believe Google's AI search problem is already reflected in its financial results

    Google's third-quarter search revenue grew about 12%, below analysts' expectation of 15%, and some investors believe the problem of AI search queries growing fast but having low monetization capacity is beginning to show. Executive Philipp Schindler said on the earnings call that the strong growth of AI Mode queries affected revenue due to the lower level of monetization. In the same period, cloud business revenue grew 103% year over year to $30.7 billion, and the Gemini app reached 1 billion users.

    Google's third-quarter search revenue grew about 12%, below analysts' expectation of 15%, and some investors believe the problem of AI search queries growing fast but having low monetization capacity is beginning to show. Executive Philipp Schindler said on the earnings call that the strong growth of AI Mode queries affected revenue due to the lower level of monetization. In the same period, cloud business revenue grew 103% year over year to $30.7 billion, and the Gemini app reached 1 billion us

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  9. The Decoder

    Mistral Releases Mistral Large 4 Weights: Coding Ability Leads Open-Source Models but Overall Trails Chinese Models

    Mistral has released the weights of Mistral Large 4 on Hugging Face. The model, nicknamed Le Chonk, has approximately 1 trillion parameters with 52 billion activated per step, and supports text and image inputs. On Terminal-Bench 4.0, its score rose from 28% in the preview version to 41%, slightly above GLM-5.3's 40%, but on the new version of the Artificial Analysis Intelligence Index it scored only 26 points, below the 32 points of DeepSeek V4.1 Flash and GLM-5.3. API pricing is $0.70 per million input tokens and $2.10 per million output tokens, under a modified MIT license; using it as a commercial cloud service requires separate authorization.

    Mistral has released the weights of Mistral Large 4 on Hugging Face. The model, nicknamed Le Chonk, has approximately 1 trillion parameters with 52 billion activated per step, and supports text and image inputs. On Terminal-Bench 4.0, its score rose from 28% in the preview version to 41%, slightly above GLM-5.3's 40%, but on the new version of the Artificial Analysis Intelligence Index it scored only 26 points, below the 32 points of DeepSeek V4.1 Flash and GLM-5.3. API pricing is $0.70 per mill

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  10. MIT News · Artificial Intelligence

    MIT Professor Ali Jadbabaie on why infrastructure is entering a critical era: the triple pressure of AI, climate and geopolitics

    Ali Jadbabaie, head of MIT's Department of Civil and Environmental Engineering, believes that climate change, AI's energy demands and aging power grids, and supply chain vulnerabilities caused by geopolitics are arriving at the same time, pushing infrastructure into a critical period. He noted that AI is expected to accelerate and lower the cost of exploring engineering designs, but the outcome still depends on how it is done. The World Infrastructure Forum, co-founded by the MIT department together with UPM, the World Bank Group and the University of Texas at Austin, was held in Madrid on October 28.

    Ali Jadbabaie, head of MIT's Department of Civil and Environmental Engineering, believes that climate change, AI's energy demands and aging power grids, and supply chain vulnerabilities caused by geopolitics are arriving at the same time, pushing infrastructure into a critical period. He noted that AI is expected to accelerate and lower the cost of exploring engineering designs, but the outcome still depends on how it is done. The World Infrastructure Forum, co-founded by the MIT department toge

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Wednesday

  1. Data Center Knowledge

    The Role of Solid-State Micro-Cooling in Data Centers: xMEMS Chips Target SSD Local Hot Spots

    xMEMS has mass-produced the XMC-2400 and XMC-4800 solid-state micro-cooling chips, which use a silicon-based piezoelectric MEMS platform to generate directed airflow, cooling hot spots in subsystems such as SSDs, memory, and optical modules that liquid-cooling cold plates and system fans struggle to cover. The XMC-2400 provides up to 28 cubic centimeters per second of airflow and 1300 Pa of back pressure, with power consumption of about 150 mW; the XMC-4800, aimed at enterprise-grade SSDs, delivers 48 cubic centimeters per second, 1100 Pa, and about 240 mW. xMEMS positions it as a supplement to, rather than a replacement for, the overall cooling architecture, and expects it to be deployed pre-installed inside subsystems such as SSDs.

    xMEMS has mass-produced the XMC-2400 and XMC-4800 solid-state micro-cooling chips, which use a silicon-based piezoelectric MEMS platform to generate directed airflow, cooling hot spots in subsystems such as SSDs, memory, and optical modules that liquid-cooling cold plates and system fans struggle to cover. The XMC-2400 provides up to 28 cubic centimeters per second of airflow and 1300 Pa of back pressure, with power consumption of about 150 mW; the XMC-4800, aimed at enterprise-grade SSDs, deliv

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  2. Data Center Knowledge

    Oracle Cloud to Offer Google TPU and Inference Chips from OpenAI, Cerebras, and Others

    Oracle announced that it will deploy Google TPU on OCI, along with inference chips from OpenAI, Cerebras, SambaNova, and Positron AI, giving customers more computing options beyond Nvidia GPUs. Oracle says it will become the first hyperscale cloud provider other than Google Cloud to offer TPU; TPU and the Cerebras wafer-scale engine are planned to launch in 2027, and Positron Atlas is already available. At the same time, Oracle is expanding its partnership with Nvidia, with the Vera Rubin NVL72 system and Vera CPU now generally available on OCI.

    Oracle announced that it will deploy Google TPU on OCI, along with inference chips from OpenAI, Cerebras, SambaNova, and Positron AI, giving customers more computing options beyond Nvidia GPUs. Oracle says it will become the first hyperscale cloud provider other than Google Cloud to offer TPU; TPU and the Cerebras wafer-scale engine are planned to launch in 2027, and Positron Atlas is already available. At the same time, Oracle is expanding its partnership with Nvidia, with the Vera Rubin NVL72

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