Grok 4 Wows, The Bitter Lesson, Elon’s Third Party, AI Browsers, SCOTUS backs POTUS on RIFs
All-In with Chamath, Jason, Sacks & Friedberg
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AI: The Bitter Lesson
- General learning approaches in AI, scalable with computation, are more effective than human-labor intensive methods.
- This is because general computation always wins when compared to approaches using human knowledge, as seen in chess, Go, speech recognition, and computer vision.
- Elon Musk applied this lesson by building a massive GPU cluster and betting on Tesla FSD with cameras only, collecting vast driving miles and applying general compute.
- Other companies like Meta, Google, and Anthropic are betting on human knowledge, which may prove less effective in the long run.
- Travis Kalanick also applied the bitter lesson by scaling food using a general-purpose compute approach.
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