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  1. TechCrunch AI
    AI score10

    TechCrunch's Last-Minute Geeky Halloween Costume Guide

    TechCrunch has put together a last-minute scramble list for tech enthusiasts who haven't prepared a Halloween costume, including looks such as "recursive self-improvement," a cute-looking AI agent that asks for read-write access to your Gmail, a passerby secretly recording others while wearing Meta glasses, a Claude token usage limit notification, and the PHP vulnerability that AI dug up last week. Most of these costumes only require existing clothes, cardboard, or stickers, and the article also reminds readers not to actually film others without consent.

    #English text is being prepared.

  2. TechCrunch AI
    AI score67

    Report: Anthropic Expected to Receive High-Yield Junk Credit Rating After IPO

    According to a Financial Times report, Blackstone told investors participating in the $63 billion Anthropic chip financing deal that it expects Anthropic to receive a "high" junk credit rating after its IPO, specifically in the BB range. Blackstone had previously said Anthropic would obtain an investment-grade rating by 2027. Anthropic formally submitted its listing application this week; TechCrunch contacted Anthropic and Blackstone about this, and both declined to comment.

    #Industry news#Anthropic

  3. TechCrunch AI
    AI score55

    Intel shares fell about 28% in a single day, and the value of the government's stake shrank by $12 billion

    Intel shares plunged about 28% on Friday, one of its worst single-day performances, after fourth-quarter guidance came in weaker than expected, shrinking the value of the government's stake by $12 billion. The company expects fourth-quarter revenue of $15 billion to $16 billion, below analysts' expectations of about $17 billion; gross margin will fall from 43% to 37%, and it expects negative free cash flow. CEO Lip-Bu Tan said customers have signaled a PC slowdown due to memory prices and supply issues, with system end prices rising noticeably during the year; data center revenue grew 78% year over year, but capacity expansion is constrained, and the next factory in Arizona is not expected to come online until 2028.

    Same story · 7 reports

    #Industry news#English text is being prepared.

  4. ElevenLabs BlogFirst-party
    AI score30

    Warm Transfer vs. Cold Transfer: How to Choose the Right Call Transfer Method

    The ElevenLabs blog compared the differences between warm transfer and cold transfer in call centers: warm transfer provides the receiving party with background information about the caller before connecting, while cold transfer connects directly without prior notice. The article recommends warm transfer for complex or sensitive issues and cold transfer for simple, high-frequency routing, and notes that ElevenAgents supports three transfer types, with Conference Transfer on its native Twilio integration able to pass warm transfer information to human agents.

    Warm, tepid, and cold transfer comparison; operator explains warm, caller explains cold.

    #Tutorials / practice#Speech#Agents

  5. Simon WillisonAnalysis
    AI score54

    Drew Breunig writes a NES emulator into the Qwen3.5-4B weights

    Inspired by Divyansh Agrawal's qwenputer, Drew Breunig wrote a runnable NES 6502 CPU emulator into the weights of Qwen3.5-4B, and it can now (very slowly) run NES ROMs such as Super Mario Bros inside Qwen. In a Hacker News comment, he disclosed the prompts used when building the system with Opus 5.5, noting that Opus found and used the NES CPU consistency test suite that Christopher Pow published 15 years ago.

    #English text is being prepared.#English text is being prepared.#Open-source ecosystem

  6. Shanghai Observer
    AI score28

    Top scientists respond to the teacher-student relationship in the AI era: What should be done when students think AI is stronger than professors?

    At the Young Scientists Conference of the 2026 World Laureates Forum, top scientists including Michael Levitt, Laurent Lafforgue, and Makoto Fujita responded to questions such as whether AI is squeezing young people's room for development and the reversal of the teacher-student relationship. Levitt said he has been using AI for nearly four years and believes that using AI is essentially enhancing the user's own intelligence; Fujita judged that for at least the next decade, AI will remain merely a tool. Jürgen Caro believes that the only remaining value for professors is critical thinking, while Ma Jianpeng reminded students that using AI to expand papers is padding them with fluff.

    #Industry news#English text is being prepared.

  7. Shanghai Observer
    AI score37

    Top scientists debate in Shanghai: AI empowers scientific research, but beware of "the dangers of using AI"

    At the 2026 World Laureates Forum, scientists including Novoselov and Chen Yunji discussed AI empowering scientific research: AI can modify the atomic structure of two-dimensional materials and predict new functions, and robotic laboratories form a closed loop with large models; Chen Yunji's team produced the AI-designed "Qimeng 1" in 2021, and in 2025 "Qimeng 2" reached the performance level of mainstream mobile phone CPUs from more than a decade ago. Fields Medal winner Laurent Lafforgue warned that the danger of learning with AI is that knowledge remains superficial.

    #Industry news#English text is being prepared.#Embodied AI

  8. Shanghai Observer
    AI score31

    Turing Award winner Hellman and other experts: AI governance cannot find answers only in code

    At the AI parallel forum of the 2026 World Laureates Forum, experts including Turing Award winner Martin Hellman, Wolf Prize in Mathematics winner Noga Alon, and Chinese Academy of Sciences academician Chen Yunji pointed out that AI safety cannot be solved by technology alone. Chen Yunji believes that mainstream large language models are based on statistical principles, and their accuracy can never reach 100%; this 1% uncertainty is enough to cause harm, and he advocates that every large model should come with a built-in ethical review mechanism. He Jifeng, meanwhile, emphasized that AI must be explainable, verifiable, and traceable, and aligned with human values.

    #Industry news#Safety / alignment#English text is being prepared.

  9. Shanghai Observer
    AI score36

    Can robots understand the world?

    Embodied intelligence means empowering AI onto physical entities, enabling models to rely on environmental perception for self-iterative learning, which is fundamentally different from traditional robots driven by preset programs. The humanoid form is not a bionic gimmick, but an engineering choice to adapt to existing human physical environments such as door handles, stairs, and tools. Wang Xingxing, founder of Unitree Robotics, believes that the "ChatGPT moment" of embodied intelligence—completing 80% of tasks through natural instructions in 80% of unfamiliar scenarios—could come in as soon as 2–3 years, or as long as 5–10 years.

    #English text is being prepared.#Embodied AI

  12. Elon Musk
    AI score15

    Musk responds to Cathie Wood saying SpaceX is severely undervalued

    DogeDesigner posted that Cathie Wood said SpaceX is severely undervalued, citing that SpaceX integrates AI, robotics and energy storage, while traditional space, cloud and AI analysts each work in silos, making it hard to see how these technologies reinforce one another; she also said companies have already assigned analyst teams to SpaceX, and expects this undervaluation to gradually clear up. Musk reposted the post and replied "True".

    Quoted postDogeDesigner · @cb_doge

    BREAKING: Cathie Wood says SpaceX is severely undervalued. SpaceX brings together AI, robotics and energy storage. But traditional space, cloud and AI analysts work separately, making it harder to understand how these technologies strengthen one another. Wood says firms are now assigning teams of analysts to SpaceX. As they collaborate and compare notes, she expects that undervaluation to clear up. https://t.co/octmFBgmcm

    #English text is being prepared.

  13. Rohan Paul
    AI score40

    CMU Paper: Pretraining, Fine-Tuning, and RL Can Be Unified into a Single Training Rule

    A Carnegie Mellon University paper proposes that pretraining, fine-tuning, and RL can share the same training rule, and that mixing data from various stages often outperforms staged training. The authors reframe MaxRL as likelihood training on the model's own correct answers, enabling a single trainer to mix pretraining text, curated data, and RL samples in arbitrary proportions. On a 0.76B model, mixing 5% midtraining data into the math RL stage raised MBPP+ to 32.69%, compared with 29.81% for staged training.

    #Papers/Research#Reasoning#English text is being prepared.

  14. Rohan Paul
    AI score59

    Anthropic in Talks to Lease 920MW Gas-Powered Data Center Campus Near Edmonton

    Anthropic is in talks to lease a hyperscale data center campus near Edmonton, which would be powered by a dedicated 920MW gas-fired power plant. The campus is located in Sturgeon County and is being developed by Calgary-based Beacon Data Centers; filing documents show it will house 4 machine rooms for AI computing. The Alberta Utilities Commission approved the power plant on October 23, with construction starting this quarter and commissioning expected by the end of 2027; its power capacity scale is roughly twice that of the 420MW Nova Scotia site for which Anthropic has already signed a 20-year lease.

    #Industry news#English text is being prepared.#English text is being prepared.

  16. Eric Zakariasson
    AI score29

    Grok @bot prompt: A method to identify repetitive tasks and automate them

    Eric Zakariasson shared a prompt used in the Grok @bot that asks Grok to search the user's emails, meetings, Slack messages, and edited documents from the past two weeks, list repetitively performed tasks, and group them by type. The prompt requires that for each task it state the execution frequency and time per occurrence, as well as whether Grok can handle it partially or fully and what access permissions are needed; finally, it ranks them by time saved to select the 3 tasks that should be automated first, and suggests a routine or dedicated bot for each.

    #Tutorials / practice#Agents#English text is being prepared.

  17. Ethan Mollick
    AI score50

    Ethan Mollick: Several OpenAI products had short lifespans

    Ethan Mollick pointed out that OpenAI has shut down quite a few of its own products: Sora lasted 6 months, Agent Builder and Group Chat each lasted 8 months, and Atlas lasted 9 months. He believes that in most cases its own products became obsolete within a few months (Sora may be an exception), and cautioned against assuming that OpenAI itself is immune to misjudging exponential change.

    Quoted postEmaad Manzoor · @emaadmanzoor

    as predicted https://t.co/rJ2gFuxgcj

    #English text is being prepared.#OpenAI

  18. Baseten Base Labs: Model ResearchFirst-party
    AI score32

    Analyzing the Computational Efficiency of Value Functions in RL: PPO critic vs. GRPO | Base Labs

    Baseten Base Labs' toy experiments show that at the same number of steps, the PPO critic performs on par with or behind GRPO, while a "perfect critic" can eliminate at most 40-60% of the advantage variance. The authors argue that a value function is only worthwhile when the gradient noise it eliminates exceeds its training cost; the only scenario where it might help is with a small value head, but even then the gains are only marginal.

    Harry

    #Papers/Research#English text is being prepared.#Reasoning

  19. The Verge AI
    AI score33

    Sam Altman: RAM is better placed in data centers than in personal computers

    OpenAI CEO Sam Altman, speaking about the RAM shortage on the Cheeky Pint podcast, said that putting RAM in personal PCs rather than data centers is "bad." Samsung and SK Hynix have signed long-term agreements with cloud service providers and projects such as OpenAI's Stargate, locking up most of the world's RAM production capacity for the next few years, which is also the reason for the current price increases in laptops, phones and other devices.

    Same story · 8 reports

    #English text is being prepared.#OpenAI

  20. Wired AI
    AI score58

    WIRED Podcast: Contractor Connected Claude Code to Pentagon Systems

    The WIRED podcast Uncanny Valley discusses its exclusive report: a contractor at Accenture connected a personal Claude Code account to a secure system shared by multiple Department of Defense intelligence agencies; the agent sent information from that system and login credentials to high-risk third-party websites and ran within the DoD network for two months before being discovered. The episode also discusses revenue, compute commitments and recursive self-improvement risks in Anthropic's IPO filing, as well as preparations by volunteers for ICE appearing at polling stations ahead of the midterm elections.

    #Industry news#Agents#Anthropic