Stanford Lecture Maps Every AI Era's Bottleneck; Today's Is High-Quality Tasks
le_james94 · x · 2026-09-26
Lecture 6 of Stanford's MS&E 435 (Yash Patil) lays out each AI era's bottleneck and what broke it:
- Sequence: hand-designed features → data and GPUs → sequence architectures → compute and scale → usability.
- Today's row: high-quality tasks — evals, verifiers, RL environments.
- The author flags what's missing: no column for who pays to build them.
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