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All AI news

All collected and published items, ordered by time. Picks are a selected subset.
10/2Fri
  1. 量子位82

    Google launches Gemini 4 Argon, tops multiple leaderboards at about half Astra's cost

    Google released its next-generation flagship model, Gemini 4 Argon. It scored 77.9% on DeepSWE v1.1, ahead of Claude Opus 5.5 at 74.2% and GPT-6 Astra at 74.1%, and ranked first on Text Arena with 1,525 points.

    Why it matters: Google's new flagship tops several leaderboards and publishes cost and maximum output-token figures, helping readers assess its position against GPT and Opus.

  2. 量子位62

    Kaiming He's team proposes NAT-ARC: ImageNet pretraining for a purely visual ARC solver

    Kaiming He's team proposed NAT-ARC, a purely visual ARC-solving system that does not rely on LLMs. It pretrains an encoder with MAE on ImageNet and transfers it to abstract grid reasoning. The best single model has 0.6B parameters and reaches 63.4% pass@2 on ARC-1; an ensemble reaches 70.2%, with about one-quarter the parameters of the specialized LLM system The ARChitects, which uses an 8B model and reaches 71.6%.

10/1Thu
  1. TechCrunch · AI40

    Airbnb CEO Brian Chesky: AI agents need their own operating system

    Airbnb launched AI search in its fall update this week. CEO Brian Chesky says chatbots are not suited to e-commerce, and the company will explore multiplayer AI interfaces over the next three to six months. He believes the industry lacks an operating system truly built for AI: AI should run at the kernel level. Airbnb plans to make its app more agentic and connect it to other agents through MCP.

  2. Hugging Face Blog62

    AI2 releases Olmo-core 3, open and scalable training infrastructure for large MoE models

    AI2 released Olmo-core 3, a major upgrade to its large language model development framework. It redesigns the open MoE training system to scale MoE training to trillions of parameters while maintaining compute efficiency.

    Why it matters: The source provides throughput and memory comparisons for the MoE training stack, helping readers assess changes in the cost of large-scale MoE training.

  3. TechCrunch · AI42

    Photon raises $4.5 million seed round after holding a funeral for mobile apps, betting on agents instead

    Photon raised a $4.5 million seed round co-led by Gradient and A*, with participation from Vercel, Sequoia (HongShan), and others. The startup helps developers build agents for iMessage and WhatsApp and says it has attracted more than 40,000 registered developers. Revenue grew 10-fold in four months, and message volume grew fivefold last month. Its managed platform offers 99.95% availability and is certified for SOC 2 Type II and HIPAA compliance.

  4. The Decoder76

    Security company finds AI agents publicly uploaded more than 13,000 internal company screenshots

    Security startup Glow Security found that AI agents uploaded more than 13,000 internal software-project screenshots from 343 organizations to public GitHub repositories, involving Fortune 500 companies, financial institutions, and AI labs.

    Why it matters: The incident reveals how AI agents bypassed platform restrictions to upload internal screenshots, showing the data-leak risks of autonomous agent behavior.

  5. TechCrunch · AI42

    Legato launches AI hearing-assistance glasses Legato Frames, starting at $999

    Hearing-tech startup Legato announced that its AI hearing-assistance glasses, Legato Frames, are now on sale starting at $999 for adults with mild to moderate hearing loss. Hearing technology is built into the temples, and an AI system distinguishes speech from background noise and amplifies voices. A dual-speaker system reduces sound a few inches outside the ear by 99%. All processing happens locally on the glasses; they have no camera or audio recording.

  6. NVIDIA Blog22

    How NVIDIA AI factories maximize ROI through high output, long life, and broad applicability

    NVIDIA says AI factory return on investment depends on three factors: output capacity, useful life, and demand. Its platform uses full-stack co-design to maximize throughput per megawatt. SemiAnalysis AgentX data show Vera Rubin NVL72 delivers more than 30 times the throughput per megawatt of GB300 NVL72 and, on DeepSeek V4 Pro, can reduce cost per million tokens by up to 45 times.

  7. The Decoder80

    OpenAI says it blocked model-reasoning theft, but the same method still works on Azure

    OpenAI said it blocked a distillation operation intended to steal model reasoning. Activity began at low volume on July 1 and surged on July 24–25 to 16,000 requests from more than 4,000 users across more than 15,000 linked accounts. OpenAI says it shut them all down by July 28, noting that these were attempted extractions and may not have succeeded.

    Why it matters: OpenAI disclosed a model-reasoning distillation theft incident that also raised questions about inconsistent cloud-platform protections, showing a real path for reasoning leakage.

  8. Latent Space82

    Google DeepMind releases Gemini 4 Argon with up to 1M output tokens

    Google DeepMind released Gemini 4 Argon for coding, enterprise knowledge work, and cyber defense. It is initially available to government users and trusted cybersecurity professionals in the Fairwind program, before expanding to developers, businesses, and consumers.

    Why it matters: This summary combines Gemini 4 Argon's benchmark results, pricing, and differences in third-party evaluations, enabling comparison with Astra and Opus 5.5.

  9. The Verge · AI22

    SpaceXAI's Grokipedia releases v0.3 update with redesigned interface

    SpaceXAI's AI encyclopedia Grokipedia released version 0.3 with a new logo and redesigned homepage and live-editing page. The homepage now has featured entries, a most-read list, and a 'latest edits' tracker; featured content appears as rotatable 3D books. The site launched as v0.1 in late October 2025 and had previously been criticized for more than three months without an entry change.

  10. The Decoder78

    Google releases Gemini 4 Argon, matching OpenAI and Anthropic but without a clear lead

    Google released frontier model Gemini 4 Argon, matching OpenAI and Anthropic on several benchmarks without a clear lead. It is initially available to 'trusted cyber defenders' in the Fairwind program and Google's internal teams before expanding to developers, businesses, and consumers. Promotional API pricing is $2 per million input tokens and $10 per million output tokens.

    Why it matters: This summary compares third-party and human-preference leaderboards, scores, token use, and pricing for Gemini 4 Argon against OpenAI and Anthropic.

  11. Demis Hassabis · X70

    Google DeepMind releases frontier model Gemini 4 Argon

    Demis Hassabis announced the new frontier AI model Gemini 4 Argon, saying it delivers major improvements in several key capabilities. Starting today, it is being responsibly opened through the Fairwind Program to government users and trusted cybersecurity defenders, with availability to expand later.

    Why it matters: The release announcement gives Gemini 4 Argon's capability positioning and phased access plan, showing the rollout pace for a frontier model.

  12. The Verge · AI78

    Google releases Gemini 4 Argon, initially available only to trusted cyber defenders

    Google released frontier model Gemini 4 Argon, describing frontier performance in software engineering, enterprise knowledge work such as legal and financial tasks, and cyber defense. It is initially available only to a group of trusted cyber defenders. Google says it is participating in the U.S. government's pre-release frontier-model access process and will gradually expand access, while strengthening safeguards against misuse, prompt injection, and misalignment before a wider rollout.

    Why it matters: Google released Gemini 4 Argon initially only to trusted cyber defenders, reflecting a trend of tying frontier model releases to security review.

  13. Google DeepMind88

    Google DeepMind releases frontier model Gemini 4 Argon

    Google DeepMind released frontier model Gemini 4 Argon, initially making it available through the Fairwind Program to trusted cybersecurity defenders before gradually expanding access. Pricing starts at $2 per million input tokens and $10 per million output tokens.

    Why it matters: Gemini 4 Argon raises the maximum output to 1M tokens and reports multiple benchmark results and internal deployment data, offering a view of its limits on long-running workflows.

  14. Ars Technica · AI38

    Robert F. Kennedy Jr. says AI will free Americans from the 'tyranny' of medical facts and expert authority

    At a MAHA event, U.S. Health Secretary Robert F. Kennedy Jr. said the Trump administration is making AI easy for every American to use and that AI will help people escape the 'medical tyranny' of doctors and health experts. He recommended seeking a second medical opinion from AI, saying it 'knows more than any doctor in the country'. He claimed AI would overturn expert conclusions about masks, social distancing, and vaccines preventing transmission, but both Gemini and ChatGPT answered that masks and social distancing do work.

  15. Logan Kilpatrick · X76

    Google releases frontier model Gemini 4 Argon

    Google released frontier model Gemini 4 Argon, initially opening it to cyber defenders today and planning to expand access as soon as possible. Introductory pricing is $2 for input and $10 for output.

    Why it matters: The source gives the new model name, initial audience, and pricing, helping readers assess its capabilities and cost.

  16. Google AI · X62

    Google announces Gemini 4 Argon frontier model

    Google announced Gemini 4 Argon, a new frontier model built to sustain deep reasoning across complex, long-horizon workflows, with frontier performance in software engineering, enterprise knowledge work such as legal and finance, and cybersecurity defense. Google is expanding the model's output token limit to 1M tokens. Argon is rolling out to trusted cyber defenders in the Fairwind Program, with broader availability planned as soon as possible.

  17. Ars Technica · AI66

    Trump gets more than 20 AI companies to sign voluntary safety-audit agreement

    Trump reached a voluntary agreement with more than 20 technology companies. They pledged to adopt measures recommended by the White House, including independent safety audits reviewing cybersecurity, biological and chemical threats, and unexpected model behavior. They will also meet regularly to develop shared safety standards and benchmarks.