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AI Summary
- Scale AI's $14B Meta deal reflects how foundational training data powers every major AI lab; human experts remain essential for improving AI models beyond what benchmarks show
- Jason's contrarian approach to company building—built Uber Eats from zero to $20B by obsessing over restaurant economics and solving urgent daily problems—applies to AI infrastructure
- Enterprise data is largely useless for AI models today; Scale focuses on creating high-quality expert-validated data that actually moves model capabilities forward
Guests on This Episode
JD
Jason Droege
1 podcast appearance