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All news · Today66 items

All AI news

All collected and published items, ordered by time. Picks are a selected subset.
Today10/17Sat
  1. The Decoder74

    China proposes export controls on large models and 23 key AI technologies

    China's commerce and science ministries released draft export controls covering 23 key AI technologies, including large models, agents, compute clusters, and data processing. Controls on core model technologies would apply at 10^26 FLOPs of training compute, at least 2 trillion parameters, or a global top-10 ranking. Open-source publication would qualify for automatic licensing, while installations on local servers abroad would require a standard export license; access through APIs, apps, websites, SaaS tools, and lightweight on-device versions would remain exempt.

  7. 量子位87

    Google releases Gemini 4 Argon with temporary half-price API access

    Google is rolling out Gemini 4 Argon globally to developers, enterprises, and paid subscribers, emphasizing coding, professional knowledge work, multimodal understanding, and sustained task execution. API pricing is $2 per million input tokens and $10 per million output tokens through November 30, rising to $4 and $20 on December 1. Google reports that Argon worked unattended for 11 hours on ADK optimizations, with engineers merging two changes; Ethan Mollick described improvements but noted remaining weaknesses in complex multi-agent tasks.

  8. 量子位15

    Baidu World 2026 Reveals Five Highlights for Businesses and Developers

    Baidu’s official WeChat account announced five highlights for Baidu World 2026, including Robin Li’s keynote, upgrades to Baidu’s “chip, cloud, model, agent” AI stack, and sessions on how organizations can adopt AI. The event will be held on November 12 at the Beijing National Convention Center Phase II, with 12 breakout sessions, more than 30 AI classes, and a 6,000-square-meter AI exhibition area. Registration is open through the Baidu World 2026 website.

  9. 量子位37

    EIR Raises More Than 100 Million Yuan to Scale Its Humanoid Robot

    Sichuan Embodied Humanoid Robotics Technology Co. (EIR) has completed a Pre-A funding round of more than 100 million yuan. The company says it will use the funds to develop its “Ai Qiu” humanoid robot, build a production base planned for capacity of up to 10,000 units, and establish a sales system. Ai Qiu starts at 98,000 yuan, and EIR says its new funding round has also begun.

  10. 量子位58

    Amazon CTO Werner Vogels urges companies to keep fear out of AI decisions

    Amazon CTO Werner Vogels argues that companies should understand their business problems and AI’s capabilities before rushing to adopt it. Speaking in Shenzhen, he emphasized task suitability, operating costs, explicit limits on Agent actions, and developers’ responsibility for outcomes. He also warned that AI-generated code can accumulate verification debt and stressed that junior engineers still need experience reading and reviewing code.

  11. 量子位65

    Paradigm and Ruisizhilian Launch ModelSphere, an Open-Source AI Deployment Platform

    Paradigm and Beijing Ruisizhilian announced ModelSphere, a free, open-source platform combining enterprise compute management, model deployment, and runtime optimization. Released under Apache 2.0, it supports heterogeneous chip scheduling and cluster operations alongside inference engines such as vLLM and SGLang, including cache-aware routing, autoscaling, and automated performance tuning. The company-provided announcement links to the repository at https://github.com/modelsphere/modelsphere.

  12. 量子位67

    UBTECH introduces Thinker-WM, unifying video, depth, and robot actions in one world model

    UBTECH introduces Thinker-WM, a multimodal world model that jointly models RGB video, depth, and robot actions through a shared Unified Dynamics Transformer. In material supplied by UBTECH and republished by QbitAI, the company reports leading results on WorldOlympiad, EWMBench, and WorldArena1.0 Track-1, including scores of 0.740 on WorldOlympiad and 4.66 on EWMBench. The model supports six capability modes through shared weights, and adding depth improved RoboTwin single-task success by 15 percentage points over a baseline without depth.

  13. 量子位17

    NetEase Bageshu Offers 100,000 Yuan for User Product Suggestions

    NetEase Youdao’s AI voice Agent NetEase Bageshu launched a user co-creation program offering 100,000 yuan in total rewards for product suggestions, with 11 spots and a top individual award of 50,000 yuan. There are no education or professional-background requirements. Selected contributors also receive a co-creator certificate, a NetEase commemorative ID card, and direct interview access.

  14. 量子位43

    How VLA and World Models Give Robots an Embodied Brain

    The article describes how VLA models and world models are being developed and deployed in Shanghai: VLA enables robots to perform tasks, while world models predict what may happen before an action. Ant Lingbo’s “Lingbo General Brain” has been adapted to 17 robot brands and 20 configurations, and robots using it are working in multiple Shanghai pharmacy locations. The article says the two approaches are beginning to converge, while planning, standards, and evaluation are advancing.

  18. Aravind Srinivas · X59

    Computer integrates @morluto’s Reverse-Engineer-Anything skill with up to 10000 credits

    Aravind Srinivas announced that Computer has integrated @morluto’s Reverse-Engineer-Anything skill and is offering up to 10000 credits for anyone to reverse-engineer an app of their choice. The quoted @AskPerplexity post says Computer inspects apps without their source code and builds working versions, with /reverse-engineer tasks free through October 31, up to 10,000 credits per user. https://twitter.com/askperplexity/status/2111120664543596957

  19. Sam Altman · X55

    Sam Altman welcomes Nick Cammarata’s optimistic outlook on mechanistic interpretability

    Sam Altman says he is very happy to see Nick Cammarata’s post on interpretability. Cammarata says early work at OpenAI left him pessimistic, with primitive tools making about 2% of neurons legible. He now claims modern agentic tools make the vast majority legible in models up to trillions of parameters, and believes ambitious interpretability could be solved quite soon as automated scientists improve. https://already-clean.goodfire.com/

  20. Google DeepMind · X72

    Four Gemini 4 Argon agents beat Minecraft from scratch in 27 hours

    Google DeepMind reports that four Gemini 4 Argon agents beat Minecraft from scratch in 27 hours. Operating in a sandbox using only code and text, they wrote 2,783 programs, divided up jobs over chat, shared notes, and debugged errors together, all with no human help. https://t.co/uyIhDOQXGT

    Why it matters: The account offers a concrete example of agent coordination through code, chat, shared notes, and collaborative debugging during a task lasting 27 hours.

  21. TechCrunch · AI59

    Elorian releases Glimpse, its first AI model built around visual reasoning

    Elorian released Glimpse on Friday as a research preview with API access and a waitlist-only chat interface. Its visual scratch space lets it crop image regions, retrieve video frames, and run code to measure or compare visual content during reasoning. Pricing is $0.60 per million input tokens and $3 per million output tokens; Elorian’s evaluations report performance above GPT-6 Astra on scientific chart reasoning and short-form video captioning.

  22. TechCrunch · AI39

    Nvidia Veteran Says Physical AI Is More Than Robots

    Amulya Vishwanath, a former NVIDIA robotics product marketing leader and founder of Techable VC, says robotics is in its “Lego era,” with basic building blocks still being rebuilt. On TechCrunch’s Equity podcast, she discusses investing in physical AI across robotics, materials science, and life sciences, and defines it broadly to include “a molecule, a material, a medicine,” or a factory machine.

  23. TechCrunch · AI32

    Former Nvidia robotics executive says the field is still in its “Lego era”

    Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is still rebuilding basic components such as actuators, robotic hands, software, and safety standards. On TechCrunch’s Equity podcast, she discussed where she is investing through Techable VC, the early-stage firm she founded to back physical AI across robotics, materials science, and life sciences.

  24. Ars Technica · AI66

    Meta’s new commercial terms could grant broad AI training permissions over linked websites

    Meta’s updated commercial terms, effective October 30, authorize crawling linked business website content and using it to train and improve its products, raising legal experts’ concerns about AI licensing rights. Ars found broader permissions than in existing advertising terms, including provisions for test credentials. Meta says its crawler practices are unchanged and content owners can still block access through robots.txt; experts say whether courts would enforce the terms is unclear.

  25. The Verge · AI65

    Meta’s new terms may allow it to train AI on news sites for free

    Meta’s commercial terms taking effect October 30th may authorize AI training on websites associated with businesses using its platforms, according to Nieman Lab’s reporting cited by The Verge. Legal experts say the terms could let Meta argue that contractual permission overrides blocking instructions such as robots.txt. Meta disputes that interpretation, saying its crawler practices are unchanged and the update concerns product information for ad and content recommendations.

  26. The Verge · AI77

    A week with Nvidia RTX Spark laptops reveals performance strengths and practical compromises

    The Verge’s three reviewers spent a week testing five Nvidia RTX Spark laptops, finding capable graphics and generally workable Windows on Arm apps alongside high prices, weaker CPU performance than Apple rivals, and demanding local AI workloads. Sean Hollister’s Asus ProArt P16 lasted roughly 5 hours to 5 hours and 40 minutes during everyday work. Their local AI experiments encountered substantial battery drain, heat, slow responses, and uneven results, despite configurations offering up to 128GB of unified memory.

    Why it matters: The hands-on comparisons show how large unified memory and capable graphics translate into everyday tradeoffs in local AI workloads, battery life, and software compatibility.

10/16Fri
  1. AWS Machine Learning Blog73

    Introducing Reflection Beam, an open-weight model for agentic coding on AWS

    Reflection AI introduced Beam, an open-weight model for agentic coding and multi-step tasks, with 501 billion total parameters and 23 billion active parameters. Reflection reports an effective context length of 1 million tokens and releases Beam 1.0 under Apache 2.0 in BF16, FP8, and NVFP4 variants. The guide explains deployment through Amazon SageMaker JumpStart or HyperPod Inference with JumpStart, SGLang, or vLLM, including capacity planning, invocation, performance measurement, and cleanup.

    Why it matters: The deployment comparison clarifies when managed endpoints suffice and when Kubernetes infrastructure or custom runtimes offer useful control over serving configuration, distributed execution, and scaling.

  2. The Decoder78

    Google's Gemini 4 Argon is closer to the AI frontier than any Google model in months

    Google DeepMind’s Gemini 4 Argon scored 97.5 percent on ARC-AGI-3 using the Provider Adapter Harness at a cost of $4,800, behind GPT-6 Astra’s 99.9 percent. Its score fell to 49.8 percent at low reasoning in the Standard Harness, where API problems prevented completion of all games. Epoch AI placed Argon at 165 ECI points, close to Opus 5.5 and GPT-6 Astra, although early estimates ranked it eighth in math and sixth in software engineering.

    Why it matters: The comparison shows how testing environments can change benchmark standings, providing context for interpreting Argon’s proximity to leading models alongside its weaker math and software engineering results.

  5. Aravind Srinivas · X70

    Perplexity adds Gemini 4 Argon, citing a new WANDR benchmark high

    Aravind Srinivas says Gemini 4 Argon has set a new SoTA on the Wide-And-Deep-Research (WANDR) benchmark and is now available to all Perplexity users in fast search and Computer (agent) modes. https://t.co/0U671BhbMj The quoted @perplexity_ai announcement specifies availability for Pro and Max subscribers. https://t.co/n1TyI9RhBX

    Why it matters: The post identifies availability across fast search and Computer modes, while its broader access claim differs from the quoted announcement limiting availability to Pro and Max subscribers.

  7. vLLM · X75

    Reflection-Beam-1.0 gets Day-0 support in vLLM

    Reflection-Beam-1.0 from @reflection_ai has Day-0 support in vLLM. 501B total parameters, 23B active per token, and a 1M-token context window. Beam combines hybrid attention with Harmony-format reasoning and tool use. Beam also has Day-0 RL support in SkyRL (@NovaSkyAI): https://t.co/3SjWJKKgpH https://t.co/EkmA1L6B3H

    Why it matters: Day-0 support in vLLM and SkyRL connects Beam’s release to inference and RL workflows, providing concrete context for developers considering how to run or train with the model.

  10. TechCrunch · AI73

    Jev is Vercel’s fastest-adopted AI model ever

    Jev reached 35% of paid teams within two weeks of launch, the fastest adoption recorded by Vercel and nearly twice the reach of Sonnet 5.5. Typesafe AI’s lightweight decision model selects among predetermined outputs for cheaper, faster classification. The figures come from Vercel’s AI gateway, which may undercount providers with their own APIs; open-source models now represent more than 70% of gateway tokens and nearly 25% of spending.

  11. Ars Technica · AI45

    “Super Scam Me” Shows How to Catch a Romance Scammer

    In the National Geographic documentary “Super Scam Me,” investigative journalist Mariana van Zeller uses a social experiment to expose how romance scams work and try to meet a scammer face to face. In an Ars-exclusive clip, she and ethical hacker Arman the Cyber use a fake bitcoin receipt to bait a fake Jon Bon Jovi account, helping a victim get closure. The documentary airs Saturday at 9 pm ET and streams on Disney+ and Hulu.

  13. Nathan Lambert · X46

    Nathan Lambert Says MOCOM’s Statement Could Ease Open-Source Technology Exports

    Seems very important, as tons of people are tweeting about the end of bigger open models from China due to this from MOCOM, but there's a statement intending to make it easier for open source technology. Much hinges on implementation and how "near automatic" approval would work. https://twitter.com/ZilanQian/status/2111073916194013274