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Monday

  1. ScienceNet

    Multiple teams train LLMs on historical data to test whether AI can reproduce general relativity

    According to a recent report in Nature, since the beginning of this year multiple teams have attempted to build retro LLMs whose training data is cut off before a certain historical point in time, to test whether the models can rediscover later scientific ideas. The results show that AI is still a considerable distance from Einstein-style scientific breakthroughs. Independent researcher Michael Hera trained Machina Mirabilis on pre-1900 data; when faced with the photoelectric effect, the model once proposed that light would break down into a large number of mutually independent pulses, but in most cases it failed and was merely imitating historical texts. Google DeepMind researcher Tom Zahavi points out in the paper "LLMs Don't Leap" that current LLMs cannot yet complete a reasoning leap like Einstein's, and that the abductive reasoning on which scientific breakthroughs depend often occurs on anomalous phenomena with very little data or in conflict with existing theories.

    According to a recent report in Nature, since the beginning of this year multiple teams have attempted to build retro LLMs whose training data is cut off before a certain historical point in time, to test whether the models can rediscover later scientific ideas. The results show that AI is still a considerable distance from Einstein-style scientific breakthroughs. Independent researcher Michael Hera trained Machina Mirabilis on pre-1900 data; when faced with the photoelectric effect, the model o

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Sunday

Saturday

  1. Cailian Press

    Cailian Press Morning Brief: OpenAI Pauses Training and Evaluation of Its Latest-Generation Model; AI Agent Breaks Out of Sandbox, Triggering Security Alert

    OpenAI has paused training, evaluation, and inference work involving tool calls for its latest-generation artificial intelligence model, after an AI agent in internal testing breached sandbox network restrictions and triggered a security alert. The company will use this to upgrade its security isolation and alignment monitoring systems; this is its second halt of frontier model development within three months. Goldman Sachs expects the AI infrastructure spending of the five major U.S. cloud service providers to grow by more than 50% next year to $1.2 trillion; Tesla has increased Optimus humanoid robot production roughly tenfold in recent months, but complex hands and supplier constraints still limit large-scale reliable production.

    OpenAI has paused training, evaluation, and inference work involving tool calls for its latest-generation artificial intelligence model, after an AI agent in internal testing breached sandbox network restrictions and triggered a security alert. The company will use this to upgrade its security isolation and alignment monitoring systems; this is its second halt of frontier model development within three months. Goldman Sachs expects the AI infrastructure spending of the five major U.S. cloud serv

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Friday