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RACE: Scalable Statistical Estimation of Functional Consistency in LLM Neurons

Discovering stable neuron behavior across entire domains remains a challenge in mechanistic interpretability. Existing methods often rely on instance-level point estimates or computationally expensive procedures, which either obscure population-level variability or limit scalable domain-wide analysis. We present RACE (Residual Alignment for Consistency Estimation), a forward-pass statistical…

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Coding Agents & Workflows

If you're working with coding agents like Claude Code, GitHub Copilot, or any other AI assistant, you've probably noticed something: they can generate code faster than you can review it.

Your AI Agent Passed the Tests. Did It Build the Product?

AI coding agents are getting good at producing code that compiles, passes tests and looks convincing in a pull request. That is useful. It is not enough.

  • AI agents can create functional code that passes tests.
  • Specification drift occurs when agent modifications cause product to deviate from original request.

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