The Great AI Game
summary
Argues that raw data alone doesn’t win AI — algorithms must learn context and be more data‑efficient, not just scale. Notes GPT‑3’s 175 billion parameters and vendors building high‑bandwidth chips, creating lock‑in, while China’s strength includes access to 12 million chest scans and a regulator mindset of let the bullets fly. Calls for funding smaller teams and DARPA‑style bets to fuse deep learning with symbolic approaches, because many advances require fewer data, not more.
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chapters (8)
- 0:00Introductions and context
- 2:00China versus US in AI race
- 4:00Data as the new oil
- 6:37Data specificity and regulation
- 8:54Moving beyond deep learning
- 12:22Corporate AI research constraints
- 15:34Role of governments and teams
- 21:25Scaling innovation in Europe
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