NAll news

Saturday482 items

  1. Google BlogFirst-party
    AI score67

    Google Receives First AI Reply from Project Suncatcher Prototype Satellite's On-Orbit TPU

    Google received the first reply from the Project Suncatcher prototype satellite, with the on-orbit data-center-class TPU successfully running the open Gemma 4 model and returning a haiku about space. The satellite was launched on October 1, and the host and TPU tray have previously completed power-on and early machine learning tests. Next, Google will test how the TPU performs under orbital thermal stress and radiation exposure, paving the way for the 2027 two-satellite interconnection goal.

    Same story · 8 reports

    #Industry news#Google#Reasoning

  2. TechCrunch AI
    AI score59

    Google Suncatcher's first data center satellite goes online and completes in-orbit inference

    Google Suncatcher's prototype space data center satellite has gone online and communicated with the ground; earlier this month it launched aboard a SpaceX Falcon 9 rocket along with more than 100 other spacecraft. The satellite carries a single Google TPU with a maximum power generation of 1 kW, and due to power constraints it can only be powered on for about twenty minutes at a time; after about three weeks of in-orbit commissioning, ground engineers this week sent the first prompt, asking the pre-installed Google DeepMind Gemma 4 model to write a haiku about space and to report on the orbital conditions around the satellite. Subsequent tests will examine the chip's performance under thermal stress and the space radiation environment; if this TPU performs up to standard, Google plans to launch two more satellites carrying the chip in 2027 to validate higher power generation and inter-satellite optical links.

    Same story · 2 reports

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

  3. n8n BlogFirst-party
    AI score27

    What's the difference between rate limiting and throttling: n8n explains workflow backoff strategies

    n8n's post distinguishes API rate limiting from throttling: the former typically returns a 429 error when exceeded, while the latter delays or queues requests. When encountering a 429, you should first follow the Retry-After header in the response; otherwise, use exponential backoff to progressively lengthen the wait, set a maximum delay and retry limit, and add jitter to prevent multiple workflows from retrying simultaneously and creating new traffic spikes.

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

  4. AYi AI NotesOpinion
    AI score51

    The Full Story of the $6.3 Billion Binance Hot Wallet Hack: How Hackers Used EIP-7702 Delegation Authorization to Bypass Signatures

    AYi AI Notes used Claude Opus 5.5 to generate a retrospective video laying out the on-chain process by which $6.3 billion was moved out of Binance's hot wallet. The author argues that the key point is that the hackers did not steal private keys; instead, they exploited Ethereum's EIP-7702 delegation authorization to make Binance's signing system sign for the hackers' contract. The authorization contained no amount or recipient address, making it hard for traditional risk controls to detect. The article states that the hackers signed 50 authorizations in succession, with the 16th taking effect after matching the nonce, and then a single call moved out 167,000 ETH, 1.62 billion USDT and more than 60 other tokens, leaving only 1 ETH in the wallet.

    English text is being prepared.

    #Safety / alignment#OpenAI#Anthropic

  5. Karina Nguyen
    AI score28

    BallotBench adds a trading track

    Karina announced that BallotBench is adding a trading track. The cited Thoughtful post explains: they gave 9 models $50 each in real money on Kalshi plus $10K each in simulated funds, and had them place bets on the midterm elections based on their own forecasts; after 24 hours, Claude Fable was up $1.59 (+3.2%) and Gemini was up $0.80 (+1.6%).

    Our AI forecasters now trade the midterms! We gave 9 models $50 each in real money on Kalshi + $10K each in simulation to place bets based on their forecasts. 24 hours in: Claude Fable is up $1.59 (+3.2%), Gemini $0.80 (+1.6%) Watch live: https://t.co/YgKV75W0fC https://t.co/vmtVan8ydc

    #Evaluations / benchmarks#Agents

  6. Fei-Fei Li
    AI score37

    Fei-Fei Li shares I3L robot imitation learning research

    Fei-Fei Li shared the I3L (Iterative Interactive Imitation Learning) research posted by Wensi Ai, calling it the team's latest work on closing the "last-mile" gap in long-horizon robotic tasks. The original post noted that long-horizon whole-body robot policies still fail during deployment.

    Long-horizon, whole-body robot policies still fail during deployment. How do we best close this last-mile gap? 🤖 🚨 Introducing I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation Website: https://t.co/C58RmOS7Oq Paper: https://t.co/DZXnXLF1bI https://t.co/JbK5Dn5Jig

    #Papers/Research#Embodied AI

  7. Rohan PaulProduct release
    AI score51

    Subvocal launches glasses for silent mouthing input that can transcribe 200+ words per minute

    Subvocal has launched a pair of glasses that can convert silently mouthed words into text at a speed of over 200 words per minute. The principle is that radar passes from the frame through the face, and based on changes in the reflected signal as each word is silently mouthed, AI decodes it into text; at most, bystanders see only slight mouth movements. The product is now available for pre-order, and the team previously raised $1.3 million in funding from YC and Afore Capital.

    We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again. Typing is slow. Talking into your computer is awkward. Subvocal fixes both Our glasses give you the speed of speech without you making a sound or touching a keyboard. It tracks your internal speech muscles with non-contact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min. Pre-orders are now live at: https://t.co/DzrwIpg3GR

    #Product updates#Speech#English text is being prepared.

  8. The Verge AI
    AI score45

    Pope Leo calls for disarming AI: “Machines are tools, not people”

    In his papal address on Friday, Pope Leo XIV called for the “disarming” of AI and urged UN member states to “take concrete steps to ban lethal autonomous weapons” at next month’s Geneva conference. He stressed that “machines are tools, not people,” warning that AI systems should not be granted rights or legal personhood, and that decisions involving human life, freedom, and the use of force must always remain under effective human oversight.

    Same story · 3 reports

    #English text is being prepared.#Safety / alignment

  9. Google Developers BlogFirst-party
    AI score12

    DevFest 2026 Returns: 800+ Community Events Focus on the Agentic Era

    DevFest 2026, hosted by Google Developer Groups, will take place from October 1 to December 31, covering 115 countries with 800+ events and an expected nearly 1 million developer participants. The events revolve around generative AI, autonomous agents, Google Cloud, Android, and the Web, under the theme of building, securing, and scaling in the agentic era. Local events are organized by communities in local languages, with Google Developer Experts and Google engineers participating as speakers.

    Developers_Blog_Header (1)

    #Industry news#Google

  10. Leitech
    AI score28

    Huawei Router X2 Pro Goes on Sale: Why Router Design Is Becoming Increasingly Important in the AI Era

    Huawei has released the Router X2 series. The X2 Pro is priced at 588 yuan for a single router and 1,108 yuan for a two-router set. It uses the Lingxiao 760 series chip plus four high-performance signal amplifiers, supports NearLink and Wi-Fi 7+, and features a "book" design with no exposed antennas, emphasizing integration into the home. Leitech believes that Mesh networking requires routers to be placed in prominent locations, and that AI requests forwarded over the intranet by AIoT devices are pushing routers into the foreground, making design increasingly important; however, upgrading devices early for whole-home AI in 2030 is not wise.

    #Product updates#English text is being prepared.

  11. Tomasz Tunguz's blogOpinion
    AI score65

    Tomasz Tunguz: Who Will Cross the Trillion-Dollar Revenue Chasm First

    Tomasz Tunguz analyzes the $1 trillion revenue targets separately proposed by Andy Jassy and Elon Musk. Extrapolating at current growth rates with 15% annual decay, Google Cloud and SpaceX will reach $250 billion in quarterly revenue ($1 trillion annualized) in 2030, with AWS following in 2032. He notes that the market has sold off some cloud providers out of concern that cash flow from legacy businesses cannot sustain capital expenditures; Google's search advertising growth has already slowed from 19% in Q1 to 12% in Q3, and AI Mode's monetization rate is lower than that of traditional search. Microsoft is the only hyperscaler to boost ARPU through AI faster than seat growth slows, while ServiceNow's market value has fallen 29% on concerns that its seat-based business will be eroded by AI.

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

  12. TechCrunch AI
    AI score31

    Theranos whistleblower Tyler Shultz warns: the AI boom is "a great opportunity to deceive people"

    Theranos whistleblower Tyler Shultz warns that the AI boom is "a great opportunity to deceive people," because doing due diligence on AI companies is extremely difficult, and it is hard to distinguish genuinely unique new technology from a ChatGPT wrapper. He also criticized Theranos founder Elizabeth Holmes for seeking sympathy through the documentary "You Can See Everything," and has been preparing a diagnostics company called Haemanthus, dubbed "Theranos 2.0," which has reportedly raised about $20 million.

    Same story · 3 reports

    #Industry news#Safety / alignment

  13. Lauren Tan
    AI score36

    lauren: AI makes code flow like a torrent, software needs to be rewritten to adapt to agents

    lauren believes that code is shifting from arriving drop by drop to a continuous flow like a rushing river, and software needs extensive rebuilding and rewriting to adapt to this faster pace. She points out that AI brings every engineer an extremely elastic and capable workforce, and the only way forward is to evolve systems so that agents lacking context can also work smoothly, turning what is easy to do into what is right to do. Codebases are becoming organic architecture, where agents' contributions grow around the constraints and guardrails you design, so good software engineering is more important than ever.

    Here is Proton CTO's AI manifesto, that I obtained multiple copies of https://t.co/6o7G2teu9A https://t.co/d92L1kv8AU

    #English text is being prepared.#Agents#English text is being prepared.