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Google / Gemini

AI at Google and DeepMind: the Gemini models, the Veo video models, research results and the product family.

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Oct 22

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Oct 15

Thursday
  1. GPT-6-Astra solves 49 of 50 physics research problems at $2.40 apiece

    On the TheoPhysEval benchmark, GPT-6-Astra solves 49 of 50 unpublished theoretical physics calculations as accurately as leading specialists. In some cases where the agent seemed to fail, the experts' own reference solutions turned out to contain errors. But the researchers say physics hasn't had a breakthrough like the ones in mathematics, because the agents lack "taste."

  2. The AI race is back on

    Last week, Anthropic and OpenAI looked like they had the AI race to themselves, pulling ahead with increasingly powerful models that left their rivals in the dust. Google seemed hopelessly far behind, while Meta, despite spending billions to revive its floundering AI ambitions, had yet to establish itself as a serious contender.

  3. Analyzing technical documents with Deep Review

    Today, we’re excited to announce the public release of Deep Review, an agentic AI system engineered to provide rigorous feedback and technical verification on complex documents. Initially designed for computer science academic paper analysis, the system’s capabilities have expanded to review documents across many domains, such as legal and finance.

Oct 14

Wednesday