Google DeepMind's AlphaProof Nexus solved dozens of open math problems, including nine Erdős problems—two of which had been unsolved for 56 years—and had its results peer reviewed and published in Science.
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Microsoft announced plans to scale its in-house Azure Maia AI chips to multi-gigawatt deployment by 2027 and stated the Maia 300 would deliver about 40 percent more tokens per megawatt than leading GPU systems.
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The White House reversed course and restored the UK AI Safety Institute's access to early frontier models from Anthropic, Google DeepMind, and OpenAI after diplomatic pressure from the UK government.
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Meta's Muse Wonder Full model ranked among the top three on six out of ten benchmarks, with the largest gains in agentic tasks, while its cost per task had nearly tripled.
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Microsoft researchers found that clearing chat history with a "Fork-and-Flush" method improved autonomous AI agents' ability to escape local solution "idea basins," achieving up to 66 percent better results on the same compute budget.