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Radical AI connects hypothesis generation, robotic experiments and scientific judgment. The next challenge is carrying that feedback loop into manufacturing.

George Hotz’s computer company develops tinygrad and sells tinybox computers for AI training and inference, pursuing a software-first route toward cheaper, more accessible compute.

How examples, reasoning, automated optimization, and adversarial testing shape the behavior of language models—and where prompting becomes systems engineering.

Circuit tracing turns a model’s next-token prediction into a testable account of intermediate computation. Part 1 follows the tools, their limits, and the case for understanding models before relying on them.

Circuit tracing connects internal features to model outputs, then tests those connections by changing them. Part 2 explores shared concepts, advance planning and misleading explanations before turning to the tools’ limits and the trade-offs of publishing them.

Part 3 of 3 examines the work behind clear interpretability papers, the infrastructure that speeds up subsequent investigations, and the questions newcomers can pursue.