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AI Is Getting Good at Math. Here’s Why.

AI models are solving more mathematical problems. A pattern is emerging in their successes that could help us predict which problems they’ll solve next.

Latent Space

Trust in Depth: Giving agents more autonomy without losing control

Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on their own when their actions can be verified, reserving human judgment for the decisions that need it.

AWS Machine Learning Blog

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.

The Verge · AI

State of Open Models: Summer 2026 Observations

Hugging Face published its open-source model observatory report for January–August 2026. Hub data shows Chinese labs released the largest open-source models by parameter count in most months, with Chinese monthly peaks between 754 billion and 2.78 trillion parameters, while US models stayed below 130 billion in five of seven months.

Hugging Face Blog

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