Explainers on machine learning for people who intend to build with it: what the architectures do, what the benchmarks measure, and which claims survive contact with data you did not choose.
The foundational topics in artificial intelligence.
AI, machine learning, deep learning and generative models are nested, not synonymous. Here is what distinguishes each layer, and which one people now mean when they say AI.
Four serious positions on AGI, what each treats as the binding constraint, and — for each — the observation that would refute it. A guide to holding the question rather than picking a side.
3 pieces published.
