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Wednesday

  1. QbitAI

    The Father of OpenAI Reasoning Noam Brown's Latest Interview: Mathematics Is Just an Appetizer for the Multi-Agent Era

    OpenAI researcher and core o1 author Noam Brown said in the latest podcast that multi-agent systems are a way to change inference-time compute from serial scaling to parallel scaling, but in solving the Millennium Prize Problems, multi-agent systems account for at most 10% of the credit; the core is still that the model itself is sufficiently powerful. He revealed that when 5.6 was released, they had a truly formed multi-agent system for the first time, provided in the form of Ultra Mode, with 4 Agents by default and adjustable higher; with 4 Agents, the problem-solving speed is about twice as fast, and tests scaled up to as many as 16 Agents.

    OpenAI researcher and core o1 author Noam Brown said in the latest podcast that multi-agent systems are a way to change inference-time compute from serial scaling to parallel scaling, but in solving the Millennium Prize Problems, multi-agent systems account for at most 10% of the credit; the core is still that the model itself is sufficiently powerful. He revealed that when 5.6 was released, they had a truly formed multi-agent system for the first time, provided in the form of Ultra Mode, with 4

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    #chinese#Industry news#Agents#Reasoning
  6. The Verge AI

    Sam Altman says OpenAI will not go public until model safety standards are met

    In a press Q&A after the DevDay keynote, Sam Altman said OpenAI will not go public before it can make reliable commitments on model safety, and he did not give a clear timeline. He said waiting too long would be bad for the world, but that the current period of leapfrogging model capabilities and new safety requirements makes pushing ahead with an IPO unwise. He also mentioned that going public could bring pressure to disappoint Wall Street supporters for the sake of safety.

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    #tech-media#Industry news#OpenAI#Anthropic

Tuesday

  4. AIhub

    AIhub Monthly Roundup: September 2026 — Tracking Animal Populations, Recommender Systems, and an Interview with Ken Goldberg

    AIhub has published its September 2026 monthly roundup, covering an interview with roboticist Ken Goldberg, tracking wildlife populations with deep learning, early-stage ranker optimization for large-scale recommender systems, and research on how external knowledge flows through AI systems. This month, the new GPT-series model GPT-6 Astra was made available to paying users, and Sebastian Raschka wrote about his first impressions; several Fields Medalists signed a statement warning that using generative AI for mathematical research involves a misalignment between purpose and results.

    AIhub has published its September 2026 monthly roundup, covering an interview with roboticist Ken Goldberg, tracking wildlife populations with deep learning, early-stage ranker optimization for large-scale recommender systems, and research on how external knowledge flows through AI systems. This month, the new GPT-series model GPT-6 Astra was made available to paying users, and Sebastian Raschka wrote about his first impressions; several Fields Medalists signed a statement warning that using gen

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    #ai-vertical#Industry news#OpenAI#Hugging Face
  7. Latent Space

    Anthropic's Thariq on the Next Phase of Claude Code: Claude Mods, Projects, and Agent Security

    Anthropic's Thariq Shihipar introduced the next phase of Claude Code on the Latent Space podcast, including Claude Mods for customizable harnesses, Projects, Claude Tag, and recent releases such as Opus 5.5 and Sonnet 5.5. He calls prompting the core skill for using Claude Code, recommending that users first spend time filling in context and allocate effort by task—for example, high or maximum for code review and security, and low or medium for UI-type tasks. He also discussed agent security, including sandboxing, prompt injection, Auto Mode, and Anthropic's "Pacing the Frontier" position.

    Anthropic's Thariq Shihipar introduced the next phase of Claude Code on the Latent Space podcast, including Claude Mods for customizable harnesses, Projects, Claude Tag, and recent releases such as Opus 5.5 and Sonnet 5.5. He calls prompting the core skill for using Claude Code, recommending that users first spend time filling in context and allocate effort by task—for example, high or maximum for code review and security, and low or medium for UI-type tasks. He also discussed agent security, in

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    #newsletter#Industry news#Agents#Anthropic

Monday

  4. A6 a6-047 · Baseten Engineering Blog

    Baseten launches Blaxel Carbon sandbox private preview, supports NVIDIA OpenShell

    Baseten announced that Blaxel's fourth-generation infrastructure, Carbon, has entered private preview and will soon arrive on the Baseten platform, providing support for agent sandboxes and execution infrastructure. Carbon remains based on microVMs, with each sandbox equipped with an independent IPv6 address, and adds kernel capabilities and runtime policy enforcement, manual snapshots, forking, and a millisecond-level path from snapshot to production. Baseten is also a launch partner for NVIDIA OpenShell and the Open Secure AI Alliance, offering Carbon sandbox templates with OpenShell pre-installed.

    Baseten announced that Blaxel's fourth-generation infrastructure, Carbon, has entered private preview and will soon arrive on the Baseten platform, providing support for agent sandboxes and execution infrastructure. Carbon remains based on microVMs, with each sandbox equipped with an independent IPv6 address, and adds kernel capabilities and runtime policy enforcement, manual snapshots, forking, and a millisecond-level path from snapshot to production. Baseten is also a launch partner for NVIDIA

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    #a6-editorial#Product updates#Agents#English text is being prepared.