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AI Research

Experiments, evaluations and notes on machine learning systems — what I tried, what the numbers said, and what I think it means.

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Subcategories

Interpretability

Opening up models: probing, feature attribution, mechanistic analysis.

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Agents & Tooling

Agent architectures, harnesses, tool-use patterns and the infrastructure around them.

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Evaluation

Benchmarks, eval design, and the ways measurement goes wrong.

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