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Nov 5Thu
  1. The Verge · AI50

    Uber completed 4 trips solely through AI agents in the third quarter of 2026

    Uber executives disclosed during the earnings call on November 4, 2026, that only 4 trips were completed through third-party AI agents in that quarter, while the number of AI agent-handled orders in Uber Eats was approximately 500, constituting a very small proportion of total orders for that week. This is Uber's first disclosure of the number of deliveries or trips arranged by third-party AI agents on its platform.

Nov 4Wed
  1. a16z News

    Is Private Equity Investment in Trouble?

    The current technology M&A sector faces difficulties, but limited partner capital continues to flow in. Technology M&A performs best as a 'safe' investment in private markets when technological waves are stable and business models are predictable, but it faces risks under the impact of new technological waves. In contrast, venture capital performs better during periods of technological change, and the best performance of venture capital usually exceeds the best performance of private equity.

  2. Hacker News · 300+

    The PHP2Shell vulnerability highlights the crisis of 40 years of technical debt in the AI era

    The PHP2Shell vulnerability puts websites like NASA and Wikipedia at risk of data breaches and malicious code, exposing deep-seated issues with legacy software. In an independent audit sponsored by OpenAI, AI tools helped researchers exploit memory errors to achieve arbitrary code execution in two weeks, upgrading PHP2Shell from a regular bug to a high-risk vulnerability. Experts note that AI plays a significant role in vulnerability discovery and repair reasoning, but formal verification tools still need improvement. Current patches rely on LLM to generate code and proofs, with proof verification still requiring manual intervention.

  3. 36Kr · AI72

    After the decision model became popular, why does the physical world need fast on-device judgment?

    TypeSafeAI released decision model Jev in mid-September, which only outputs yes/no, scores, or probabilities, and within weeks of launch, user numbers broke a million, with about one-third of Fortune 500 companies starting to use it, and its valuation increased from about $200 million to $7.5 billion in 24 days.

    Why it matters: From the explosion in popularity of decision models to on-device judgment in the physical world, it shows an industrial change in AI capabilities shifting from generation to measurable decision-making.

  4. MIT Technology Review · AI18

    How to ensure the security of enterprise AI agents through data tracing

    Enterprise intelligent agents, due to the lack of data traceability when processing sensitive data, lead to information leaks that cannot be traced; dynamically establishing a data traceability mechanism is the key to ensuring the security of intelligent agents; enterprises need to manage floating, fragmented data to address data visibility issues in the workflow of intelligent agents.

  5. ITHome · AI65

    NIO Li Bin: Smart electric vehicles are the most shipped embodied intelligent agents

    NIO founder Li Bin stated at the Wuzhen Summit of the 2026 World Internet Conference that intelligent electric vehicles are the most shipped embodied intelligent agents. NIO's intelligent assisted driving system based on the world model architecture and closed-loop reinforcement learning has been deployed on over 950,000 intelligent electric vehicles, with a safety driving mileage of over 9.14 billion kilometers and a cumulative usage time of 112 million hours.

  6. The Verge · AI65

    Google has not yet solved the problem of how to profit from AI like its search engine.

    Google's search revenue year-on-year growth rate decreased from approximately 17% in the previous quarter to 12% in the third quarter, and paid clicks growth also slowed from 13% to 8%. Although AI model queries have grown rapidly, their monetization rate is lower than traditional search, and CEO Sundar Pichai stated that this is one of the main drivers of the slowdown in revenue growth.

  7. 36Kr · AI22

    Nokia predicts that by 2035, AI will drive 44% of global network traffic

    Nokia predicts that AI will drive 44% of global network traffic by 2035, with total monthly global traffic growing nearly fourfold to about 3,789 exabytes; agent-based AI traffic is expected to reach 160 times its 2026 level by 2035, while physical AI traffic will reach 105 times its 2026 level.

    Same story · 2 outlets
  8. The Decoder50

    A 2026 US midterm election poll shows AI at the bottom of voter priorities

    A 2026 US midterm election exit poll shows that 56% of respondents believe AI and data centers are decisive or important factors in voting decisions, ranking last among five surveyed topics. Government corruption leads with 90%, followed by the cost of living at 89%, the Iran war at 74%, and immigration enforcement at 73%. Despite recent surging public interest in AI, the issue still lags significantly behind all other issues.

  9. ITHome · AI65

    San Francisco tech professionals use workplace logic for dating, treating love as a project operation

    Some tech industry professionals in San Francisco import dating app data into spreadsheets to track matching situations and use ChatGPT to analyze love patterns. They describe the dating process using workplace terms like 'top of the funnel' and 'conversion rate', viewing love as a quantifiable project. This almost due diligence-style dating approach is exacerbated by busy work schedules and an efficiency mindset, making some people feel exhausted, but it also reflects the industry's expectation for efficient decision-making.

  10. ITHome · AI60

    xAI and OpenAI use modified jet engines to power AI data centers

    xAI installs 8 modified jet engine turbines in its Memphis data center, while OpenAI adopts gas turbines in its Abilene Stargate project, both transformed by ProEnergy from General Electric engines. The modified engines are deployed quickly, allowing the data center to operate within 24 months, but their efficiency is lower than traditional gas power plant turbines, and they are expected to be only a short-term solution.

    Same story · 2 outlets
  11. ITHome · AI38

    Anthropic engineers warn: The more accurate AI is, the easier humans lose the ability to think independently, and the more dependent they become, the harder it is to stay alert

    Anthropic Claude Code engineer Addy Osmani warns that reducing AI model output errors makes it harder for humans to stay alert, and may lead to losing independent thinking and verification ability due to reliance on AI, forming a 'cognitive surrender'. He proposes three usage levels: 'cognitive offloading', 'postponing judgment', and 'cognitive surrender', suggesting users form preliminary hypotheses before accepting AI results, actively seek rebuttal evidence, and require Agents to list autonomous decisions and hypotheses.

  12. ITHome · AI65

    Yushu Wang Xingxing: 2027 Could Be the Critical Point for the Robot Industry/Models

    Yushu Technology founder Wang Xingxing stated at the 2026 World Internet Conference in Wuzhen Summit that 2027 is likely to be the critical point for the robot industry or robot models. He believes that with the release of GPT-6, physical AI might be broken through. Currently, the core challenge of embodied intelligence is the alignment between AI model input and output and real robots, and commercial service implementation will be faster than in home and industrial fields. Wang Xingxing revealed that Yushu Technology will focus on breaking through robot brain technology, has a positive view of physical AI, and seeks global cooperation.

  13. Cognition Blog42

    Claude Code Security Guide: Review of November 2026 Security Incidents and Response Measures

    A series of major security incidents occurred in November 2026, including a $634 million theft from Binance, the Claude Code Cursor extension being tampered with and backdoored, and critical vulnerabilities in PHP, GitLab, and edge devices. AI accelerates attacks but cannot stop basic attack paths, and enterprises need to take immediate security measures, such as enabling anti-phishing MFA and device-bound login, auditing public attack surfaces, deploying password managers and ad blockers, and completing all device MDM and EDR management, as well as locking browser and editor permissions within 30 days.

  16. TechCrunch · AI65

    xAI and OpenAI have already used modified jet engines to power AI data centers

    xAI has installed 8 modified jet engine turbines for its Memphis data center in Mississippi, and OpenAI will also use natural gas turbines at its first Stargate site in Abilene, Texas, in 2025. Due to the long grid connection and new turbine approval processes, some AI data centers have chosen to use jet engines modified from retired aircraft for power generation, but this is a short-term solution because their efficiency is lower than that of turbines designed for traditional gas power plants and they cause more pollution.

    Same story · 2 outlets
  17. The Verge · AI62

    OpenAI claims ChatGPT search volume accounts for 20% of Google

    OpenAI announces ChatGPT search volume accounts for 20% of Google, but still far from surpassing; the company defines search as queries that lead to web searches due to user input, and plans to achieve profitability through advertising, possibly going public early next year.

    Same story · 2 outlets
  18. Pragmatic Engineer58

    How software engineering is changing: A comparison of two eras

    Software engineer Neil Kakkar saw a jump in monthly PR submissions from 8-20 to 200+ at AI-native startup Tano, which is 11 times the PostHog period. Old constraints (communication, code reviews) disappeared, new constraints (frequent switching, lost shared context) emerged, and design focus declined. AI has changed software engineering, requiring everyone to adapt to AI and encourage experimentation, while existing technical processes face challenges.

  19. Hacker News · AI hot posts65

    Thinking without self in the AI era

    The development of AI is prompting mathematicians to reconsider the purpose of their work, focusing on whether the value of mathematical work is solely reflected in results and personal ability. There are two perspectives on mathematics: one is that humans create mathematics, and the other is that mathematics exists independently waiting to be discovered. The latter believes that mathematical truth is independent of human activity, and the role of mathematicians is to understand rather than create, with its value lying in its relationship with independent order rather than personal performance.

  20. Hacker News · AI hot posts65

    Professor Kate Devlin talks about AI resistance lists: using complaints to fight against poor AI applications.

    Professor Kate Devlin discussed the AI resistance list at EMFCamp, calling for public complaints about poor AI applications. She used the UK online supermarket Ocado as an example, where customers complained about AI-generated customer service responses, ultimately leading the company to commit to passing the issues to the technical team. Devlin emphasized that AI responses lack a human touch and contain grammatical errors, while human customer service's apologies and commitments to solving problems satisfied her, believing organizations should respect customer time and avoid using AI responses for real complaints.

  21. Microsoft Research

    Microsoft Research researcher Mike Walker shares insights on the hacker mindset and cybersecurity

    Microsoft Research researcher Mike Walker believes that understanding rules is the core of the hacker mindset, and he has achieved success in the field of cybersecurity due to his research on rules, including the development of the first all-machine hacking competition. He emphasizes that effective security depends on trust and contextual understanding, and believes that whenever a security system requires user trust, trust becomes valuable.

Nov 3Tue
  1. ITHome · AI

    China's AI development speed and application scale are globally leading

    China's AI development speed and application scale are globally leading, with over 10,000 intelligent factories built in the industrial sector, significantly reducing the use of pesticides and fertilizers in the agricultural sector, and intelligent agents in the service sector capable of automatically completing tasks such as contract review. China's AI inference data volume has exceeded its training data volume for the first time, entering the stage of large-scale industrial application.

  2. 36Kr · AI65

    Deutsche Bank predicts SpaceX's AI computing power will reach 2.7GW by the end of the year, with strong prospects for cloud computing power rental business

    Deutsche Bank predicts SpaceX's AI computing power will reach 2.7GW by the end of the year, meeting its 2.5 to 3.0 GW target. The expansion of computing power will support cloud computing power rental contracts and AI inference applications like Grok, and Deutsche Bank expects SpaceX may sign more large-scale cloud computing contracts in the future.

  4. ITHome · AI65

    VRChat refuses to label AI-generated content, sparking user outrage

    VRChat users unhappy with the decision not to add labels to AI-generated content. Survey shows about 95% of participants want increased labeling, but the official stated that this move might be more harmful than beneficial, and finally decided not to implement it. This has led to a decrease in Steam platform user reviews to 'mostly negative' in the past 30 days, with an approval rate of only 30%.

  5. ITHome · AI60

    Anthropic warns: Claude will soon have recursive self-improvement (RSI) capabilities.

    Anthropic warns in the S-1/A prospectus supplement that Claude is about to develop a model with recursive self-improvement (RSI) capabilities, which may soon reach the 'AI-driven explosive technological advancement' defined in the 'Responsible Scaling Policy'. Currently, Claude has not yet crossed the RSI threshold, but the company commits that in the foreseeable future, the R&D process will retain human involvement and consider revising the policy to ensure that the development of cutting-edge models is always under human control.

  7. ITHome · AI65

    JPMorgan Chase Vice Chairman Daniel Pinto: AI sector valuations are still high, expects a correction

    JPMorgan Vice Chairman Daniel Pinto believes the AI sector is overvalued and expects a correction. He cautions to be cautious about growth rates, AI companies need to prove the rationality of the current valuation given the massive investment scale. Market expectations for revenue and profit growth of AI companies may be too steep, potentially leading to a re-pricing of the industry.

  8. ITHome · AI

    YC's leader Gary Tan spends at least 100,000 US dollars annually on AI: even privacy from 20 years ago is handed over to it.

    YC's CEO Gary Tan spends $100,000 to $200,000 annually on AI agents for completing work, reading emails, and private notes, even including psychological counseling records from 20 years ago. He publicly shares Claude Code skills and believes AI agents should be as flexible as humans in assisting tasks, rather than just focusing on repeatability and safety. Tan points out that the current usage costs are too high, expecting the costs of AI agents to decrease and achieve personal control.

    Same story · 2 outlets
  9. MIT Technology Review · AI65

    The US government plans to rename artificial intelligence as 'superintelligence', sparking controversy in the tech industry

    The US government has renamed artificial intelligence to 'super intelligence' and requires federal agencies to use the new term in tenders and websites, but the Pentagon and some agencies still use the old term. Tech giants have responded differently; only Meta and Elon Musk of xAI continue to use the new term, while most companies still use 'AI', raising concerns about political loyalty tests.

  10. TechCrunch · AI65

    Y Combinator CEO Garry Tan spends up to $200K a year on Claude Code tokens

    Y Combinator CEO Garry Tan spends $100K to $200K a year on AI tokens, primarily using Claude Code to complete work projects and coding tasks, and open-sourcing his skill pack gstack. He uses the agent to handle daily tasks, including reading emails, notes, and even medical records, and believes that personal AI agents will become mainstream, but only if the cost comes down.

    Same story · 2 outlets
  11. ITHome · AI65

    OpenAI calls on 2028 US election candidates to prioritize AI governance issues

    OpenAI's Chief Global Affairs Officer, Ilya Sutskever, privately suggested to about six potential 2028 US presidential candidates and political figures that AI will be a key issue in the election, requiring a comprehensive AI governance philosophy. Sutskever warned that those opposing the construction of AI infrastructure might be at a disadvantage, advocating for candidates to propose a middle-ground approach that neither lets AI develop unchecked nor completely hands control over to elites. He urged candidates to explain how to ensure human oversight of major decisions and address issues like taxation and child protection in the AI era.