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Reading Stanford CS329A

A lecture-by-lecture reading of Stanford CS329A on self-improving AI systems, grounded in materials attributable to each official session and paused where evidence is missing.

Stanford CS329A: A Course on Self-Improvement That Says Out Loud What It Can't Improve

CS329A is built around the generation–verification gap: models can produce the right answer but can't tell which one it is. The conclusion the course draws about itself matters more — today's methods make models more consistent, not smarter. Nine lectures are public, out of twenty.