In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Valued at $1.6 billion, a tiny start-up called Axiom is building A.I. systems that can check for mistakes. Axiom Math’s founder and chief executive, Carina Hong, right, and the chief technology ...

When a worker thread completes a task, it doesn't return a sprawling transcript of every failed attempt; it returns a compressed summary of the successful tool calls and conclusions.

Hidden instructions in content can subtly bias AI, and our scenario shows how prompt injection works, highlighting the need for oversight and a structured response playbook.

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