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Sunday

  1. Story1 reports · 1 facts

    Google DeepMind and Cambridge paper demonstrates AI agent autonomously discovering mathematical rules

    Google DeepMind and Cambridge have published a paper demonstrating that a Gemini-based AI agent can autonomously discover new mathematics. The agent found and provided exact rules for 11 Busy Beaver Turing machines that had no prior analysis records. According to the paper, the agent first tested edge cases in a simulator, drafted informal proofs, and then completed the proofs in the Lean proof checker; all the relevant rules were verified through Lean. The paper states that this reflects AI moving from answering mathematical questions posed by humans toward open-ended discovery. Currently, this work is presented as a paper, and there have been no reports of further progress.

    Google DeepMind and Cambridge have published a paper demonstrating that a Gemini-based AI agent can autonomously discover new mathematics. The agent found and provided exact rules for 11 Busy Beaver Turing machines that had no prior analysis records. According to the paper, the agent first tested edge cases in a simulator, drafted informal proofs, and then completed the proofs in the Lean proof checker; all the relevant rules were verified through Lean. The paper states that this reflects AI mov

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  2. Story1 reports · 1 facts

    Four Gemini 4 Argon agents complete Minecraft without human intervention

    The Google DeepMind team had four AI agents running on Gemini 4 Argon autonomously complete Minecraft in a randomly generated world, killing the Ender Dragon with no human input throughout. The team did not assign them roles, strategies, or game-specific tools; the four agents divided the work among themselves, warned each other of threats, recovered items from fallen teammates, and recorded mistakes in a shared memory. The entire run took 27 hours and 14 minutes, during which they wrote a total of 2,783 JavaScript programs, exchanged 229 chat messages, and died 605 times, costing $1,620 at the standard Gemini 4 Argon pricing that takes effect in 2027.

    The Google DeepMind team had four AI agents running on Gemini 4 Argon autonomously complete Minecraft in a randomly generated world, killing the Ender Dragon with no human input throughout. The team did not assign them roles, strategies, or game-specific tools; the four agents divided the work among themselves, warned each other of threats, recovered items from fallen teammates, and recorded mistakes in a shared memory. The entire run took 27 hours and 14 minutes, during which they wrote a total

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Thursday

  1. FactRelated story

    Google DeepMind and Cambridge paper demonstrates AI agents autonomously discovering mathematical rules

    Google DeepMind and Cambridge have published a paper demonstrating that a Gemini-based AI agent can autonomously discover new mathematics. The agent found and provided exact rules for 11 Busy Beaver Turing machines that had no prior analysis records. According to the paper, the agent first tested edge cases in a simulator, drafted informal proofs, and then completed the proofs in the Lean proof checker; all the relevant rules were verified through Lean. The paper states that this reflects AI moving from answering mathematical questions posed by humans toward open-ended discovery. Currently, this work is presented as a paper, and there have been no reports of further progress.

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    View story:Google DeepMind and Cambridge paper demonstrates AI agent autonomously discovering mathematical rules

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