WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

The company is positioning this approach as a turning point for robotics, comparable to what large generative models have done for text and images.

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Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

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Not everything has to be one size fits all; some forks are better for specific projects than others.

Newer models are more prone to silent but deadly failure modes ...

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If your AI is stuck in demos, the problem isn’t the model — it’s that you don’t have forward-deployed engineers.