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Evaluation Measuring whether an AI system does the right thing: golden sets, structural checks, LLM-as-judge, and regression suites.
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Topic Aerospace AI-assisted engineering AI for operations AI platforms Antiquity Applied security Architecture Art history Chess Cryptocurrency Cryptography Cybernetics Distributed systems Edge systems Energy Enterprise architecture Finance Game AI Games Genetics Geography Go History Insurance Life sciences Linguistics Literature Machine learning Mathematics The open web Operating systems Palaeontology Philosophy Physics Platform automation Policy Programming languages Psychology Reliability Semiconductors Shogi Simulation Sovereignty Space StarCraft Synthetic biology
Technology Durable execution Elixir GPUs Haskell Kubernetes Linux OpenBSD OpenTelemetry Pingora Rust TypeScript WebAssembly Zola
Length Under 10 min 10 to 20 min Over 20 min
2026 Nov 07 An open question: can intelligence be measured anywhere but in performance? My hunch is that it shows only when an agent acts.
Intelligence Language Linguistics Semiotics Evaluation Agents Legibility
Nov 05 Moving from assembly to C changed what we read. Coding agents change whether we read. What psychology learned about black boxes, and what it got wrong.
AI-assisted engineering Abstraction Evaluation Psychology Neuroscience Trust Observability
