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  2. 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
  9. 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