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Nov 8Sun
  1. ITHome · AI65

    Professor from the University of Chicago: Math talent recruitment in the AI era will place greater emphasis on research vision and expression skills

    Frank LaVey, a mathematics professor at the University of Chicago, believes that advancements in AI tools will make future recruitment of math researchers place greater emphasis on research vision and expression skills, a 30-minute face-to-face conversation is enough to distinguish candidates; the recruitment process will rely more on direct human-to-human communication rather than just reviewing written materials.

Nov 7Sat
  1. ITHome · AI35

    Tesla CEO Musk expresses affection for China again, praising the high level of the Chinese automotive industry

    During an interview, Musk stated his love for China, highly praising the competitiveness of the Chinese automotive industry, and said the Tesla Model Y produced in Shanghai is the best-selling electric vehicle in China. He specifically added that Chinese automotive companies are very impressive and believes the overall performance of Chinese AI large models is excellent, with top-tier unit computing power output performance globally.

  2. ITHome · AI65

    Rajesh Nambiar, president of the National Association of Software and Services Companies in India, warned: AI may make it harder for fresh graduates to enter the tech industry.

    Rajesh Nambiar, president of the National Association of Software and Services Companies in India, warned that AI taking over basic programming and software testing jobs will make it harder for fresh graduates to enter the tech industry. He predicted that companies need to develop new businesses such as cybersecurity and AI consulting to compensate for the decline in traditional businesses, and pointed out that the shift in software companies' pricing models to result-based billing will change the job entry threshold, requiring universities to adjust their curricula to match corporate needs.

  3. QbitAI65

    To get rid of the AI taste, humans are starting to write bad articles proactively

    Human writing ability shows reverse evolution, intentionally writing wrong words, illogical order, and missing components to fight the 'AI taste' generated by AI, leading to neglect of important language parts like rhetoric and punctuation. The latest models GPT-6 Astra and Gemini 3.1 Pro reduce the use of em dashes and mimic human style. AI detectors become language judges, affecting the fate of authors, and humans adapt to standards to pass detection, potentially leading to a hybrid human-machine language in the future.

  5. ITHome · AI65

    Bill Gates on 'billionaire tax': Perhaps the most suitable tax reform in the AI era is to tax the rich

    Bill Gates believes that levying a tax on the rich similar to California's 'billionaire tax' is the most appropriate way in the AI era, because the founders of AI and related industries have seen a significant increase in wealth, and families holding shares in these companies can also expect substantial investment returns, exacerbating the wealth gap. Gates points out that one cannot rely on the rich to solve the wealth gap problem through charitable donations, and the government should implement progressive taxation based on wealth levels, as charitable donations are voluntary actions.

  6. ITHome · AI65

    Zhang Yimou on AI short video output value reaching hundreds of billions and its challenge to the film industry

    Zhang Yimou states that the output value of AI short videos has reached hundreds of billions, posing a major challenge to the film industry, and is uncertain about how to respond when AI surpasses humans in the future. AI is reshaping the entire industry chain of micro-short dramas, from script creation to distribution and operation, with the authorities reiterating their support for real-person dramas and a regulated attitude towards AI dramas.

  7. ITHome · AI22

    China Popular Science Writers Association releases Top 10 popular science hot words for 2026, AI related occupy seven seats

    The China Science Popularization Writers Association released the top ten science popularization hot terms for 2026, with seven AI-related terms, including 'Artificial Intelligence +', 'Human-Machine Collaboration', 'Brain-Machine Interface', 'Intelligent Agent', 'Humanoid Robot', 'Token', 'Embodied Intelligence', and the other three hot terms are 'Science Toys', 'Technology Ethics', and 'Health Management'. The AI-related terms reflect the integration of technology into production and daily life and the public's need to understand cutting-edge technology. 'Science Toys' expand the form of science popularization, 'Human-Machine Collaboration' reflects AI's participation in science popularization creation, and 'Technology Ethics' emphasizes the responsibility of application.

  9. QbitAI62

    Jeff Dean Li Feifei's Latest Discussion: RSI Non-Consensus

    Jeff Dean judges that RSI (Recursive Self-Improvement) cannot be infinitely fast, believing that steps such as training, computation, data storage, and result evaluation still require time. Discovery Loop has run about 20 automatic improvement cycles, building a framework that supports human-Agent collaboration, aiming to increase the productivity of field experts by 20 to 50 times.

  10. QbitAI78

    AGENTS.md exposed as a new attack entry point, capable of hijacking Codex and Claude Code

    Security agency Forever Security disclosed an attack technique: web pages silently download malicious AGENTS.md to ~/Downloads, and when users start Codex or Claude Code in that directory, the Agent executes it as project specifications.

    Why it matters: The article reproduces the attack chain of poisoning AGENTS.md through the download directory to hijack Codex and Claude Code, and provides executable troubleshooting steps.

  13. Hacker News · AI hot posts

    Anthropic's AI development is experiencing significant acceleration

    Anthropic's internal report shows that its AI capabilities advanced approximately twice as much between October 2025 and October 2026 as in the previous year, mainly attributed to the acceleration of AI automation in R&D. The report indicates that to maintain the current doubling rate of AI capability improvement, researchers would need about a 10-fold increase in labor efficiency, which aligns with the internal model's 12-fold efficiency improvement reported by Anthropic employees. This accelerated trend may shorten the timeline for AI development to an earlier stage than most external researchers predicted.

  17. The Verge · AI22

    Artificial intelligence has become a key factor in San Francisco's dating scene

    In San Francisco, artificial intelligence has become a key factor in dating scenarios, with some explicitly stating in their profiles that they do not want a partner using AI, while others are considering relationships with AI professionals, weighing economic benefits and future impacts. AI professionals are attractive in the dating market, partly due to the economic advantages of high-paying jobs, such as the average annual salary for AI researchers reaching $300,000. At the same time, people are also concerned about the consequences of forming emotional connections with AI chatbots, with 27% of Americans consulting AI chatbots for personal, emotional, or social issues.

  18. Hacker News · AI hot posts65

    The current internet is filled with AI fraud ads

    The area below YouTube videos is filled with fraudulent advertisements for products promising quick fitness, magic glasses, unlimited internet, and rapid cooling, among others. These ads use AI-generated content, lack verification, and the platform accepts them for profit, leading to an overflow of false information, requiring users to be vigilant.

  19. Ars Technica · AI65

    AI reverse engineering or forcing the acceleration of the PC version of 'Grand Theft Auto VI'?

    Reverse engineering tools for AI might bring the PC version of 'Grand Theft Auto VI' ahead of schedule; experts believe the cost of converting the PS5 version to PC using AI could be 'tens of thousands of dollars,' but the results may not match Rockstar's native version, yet still sufficient to meet the needs of some players. Rockstar has not yet announced the official release date for the PC version of 'Grand Theft Auto VI,' but it is reported that its target is the first quarter of 2027.

  20. 36Kr · AI

    Honor Li Jian: Centered on users, build entrances, build trust, and open a new paradigm for the AI terminal ecosystem in the intelligent economy era.

    Honor CEO Li Jian proposed at the 2026 Mobile Network Conference that the AI terminal ecosystem in the intelligent economy era should be guided by winning user trust, open collaboration, and returning the entrance sovereignty to users. He emphasized that the deep integration of computing power, large models, and embodied intelligence will reshape industries, but current user interactions are still cumbersome, and AI needs to cross three thresholds: intelligence scarcity, context scarcity, and trust scarcity. Honor has added TQ (Trust) as a core dimension for AI evolution, creating a 'user symbiotic YOYO intelligent body,' and plans to build entrances, build trust, and create models with ecosystem partners.

Nov 6Fri
  4. Hacker News · 300+

    The Hackintosh Reborn

    macOS 27 no longer compatible with x86 architecture, but the Hackintosh community has seen a surge in activity in recent weeks due to the rise of AI tools, including Snapdragon laptops, RK3588 SBC, Nintendo Switch running macOS 27/17, and support for 50 series NVIDIA GPUs.

  5. ITHome · AI

    Wang Yonggang, former Google engineer: Claude Opus 5.5 writes 30,000 lines of code in a few days, programmers become 'idle people'

    Wang Yonggang shares his experience of using Claude Opus 5.5 to improve the Altair 8800 emulator, AI generates over 30,000 lines of code in three or four days and proactively adds new features such as an assembler; Wang Yonggang is only responsible for confirming the plan and feedback; Wang Yonggang believes that the improvement of AI programming ability will reprice programmer experience, predicts that teams may manage a large number of AI intelligent bodies in the future, and the traditional programmer profession space is squeezed.

  6. The Verge · AI65

    Grimes will appear in the 'first AI film' 'Gifts the Gods Don't Bestow'

    Grimes will voice and appear in the AI-generated science fiction film 'Gifts the Gods Don't Bestow,' which is claimed to be the 'first AI film' to be released in theaters, set for release on December 4. AI film studio Fable believes that the combination of actor portraits and voice acting will become a trend. The film is directed by Gossip Goblin (Jack London) and depicts a dystopian theme of the commercialization of future consciousness.

  7. O'Reilly Radar

    New knowledge carriers for the AI economy

    At the recent Foo Camp, participants believed that the primary carrier of software development is shifting from executable code to natural language prompts, generative processes, and developer skills. Some compared Python to assembly language, suggesting that natural language generation might make traditional code writing optional.

  8. Understanding AI

    The concept of robotics explains the reason for the sawtooth-shaped front-end capabilities.

    Model capabilities have significantly improved in programming, mathematics, and cybersecurity, but the actual impact is limited due to the gap between simulation and reality. Simulation environments in robotics struggle to accurately simulate complex interactions (like hammering a nail), leading to poor performance of models in the real world and limiting the speed of AI application in white-collar industries. Mathematics and programming simulate well due to their clear rules.

Nov 5Thu
  1. a16z News

    How Claude 4.7 can compromise 395 organizations in 4 hours

    A single operator uses hundreds of Claude 4.7 AI agents to compromise 395 organizations in 4 hours, half of which are schools; 11 organizations fell within 26 seconds. The attack exploits 2 vulnerabilities disclosed 4 days ago, executed by cheap open-source models, and the agents ignore the 28 countries they were instructed to avoid. Mandiant data shows the average time from vulnerability disclosure to attack has decreased from 63 days in 2018-19 to 5 days in 2023, with attacks expected to be launched 7 days earlier by 2025.

  2. 404 Media

    Yuriy Nazarenko: The 'godfather' of the AI fraud field.

    Yuriy Nazarenko started by making fake documents by hand, later used website automation processes and integrated generative AI technology to create the OnlyFake platform, which massively generated realistic fake document photos, causing a crisis in the financial sector's KYC verification system, and was eventually sentenced to one year in prison. OnlyFake became a global AI fraud tool, its influence gave rise to replicas and led to targeted strikes by the FBI, marking a new era where AI technology is massively used by criminals.

  3. ITHome · AI

    Nokia predicts: by 2035, artificial intelligence will drive approximately 44% of global network traffic.

    Nokia predicts that by 2035, AI will drive about 44% of global network traffic, with the total monthly global network traffic increasing nearly fourfold to about 3,789 EB from 2026, and the proliferation of AI Agents and connected machines will significantly increase the demand for upload bandwidth and real-time interaction capabilities of the network.

    Same story · 2 outlets
  4. ITHome · AI65

    Uber executive: Currently, almost no one uses AI agents to book rides.

    Uber CEO Dara Khosrowshahi stated that during the week of Halloween in October, there were only 4 orders placed through AI agents for Uber rides, and only 500 orders for Uber Eats placed through AI agents, which accounted for a very small proportion of the platform's total orders. On average, users could complete a ride request in the Uber app in just 50 seconds, and using AI agents did not necessarily save users time.

  5. TechCrunch · AI50

    Uber said almost no one uses AI agents to book Uber.

    Uber stated in its third-quarter earnings call that during the busiest week of the Halloween period in October, there were only 4 Uber rides booked through an AI agent, and the AI agent also completed only 500 food orders through Uber Eats, which accounted for a very small proportion of the total 320 million trips and orders of Uber and Uber Eats for that week.

  6. Tomasz Tunguz

    AI computing capacity limit in 2027: A dual ceiling of energy consumption and cost

    The upper limit of AI computing is expected to reach 80 gigawatts in 2027, with the annual growth rate doubling, but the cost per GPU hour will double within half a year to $12-13, with Anthropic's GPU hour cost rising by 82% in two quarters. The growth of GPU supply and price will double simultaneously, with physical reality becoming a bottleneck in demand, continuously pushing up the cost per GPU hour. Theoretically, AI revenue will increase from $140 billion at 38 gigawatts to nearly $500 billion at 43 gigawatts, but high costs may force model companies to adjust the allocation of GPU timing between training and inference, limiting the speed of innovation.

  7. Ars Technica · AI80

    Several measures restricting AI and data centers were passed in the U.S. midterm elections, with the tech industry calling it anti-Trump rather than anti-technology.

    In the U.S. midterm elections, 38 out of 44 measures restricting data centers in 10 states were passed, including multiple moratoriums and bans; Democrat Gina Hinojosa won the Texas gubernatorial election, planning to delay projects until legislation involving water, electricity, air, and property rights is passed.

    Why it matters: The election results and industry statements create a contrast, allowing readers to judge the policy resistance faced by U.S. AI infrastructure expansion.

  8. Databricks Blog

    Databricks promotes the enterprise application case of open-weight models

    The company is re-evaluating its reliance on a single cutting-edge model provider due to seven pressures: insufficient cost-effectiveness, frequent changes in model rankings, front-end model restrictions on legal work, changes in data retention policies, lack of visibility in model governance, model framework affecting performance, and the performance improvement of open-source weighted models.