Focus on Data, on the Road to AI
summary
Claim that AI is a revolution driven by an explosion of data, citing ChatGPT's November 2022 release as the fastest public adoption ever and saying 64.2 zabs of data existed in 2020 with an expectation to exceed 118 gigabits by 2025. Argues training models creates heavy cloud workloads and carbon costs and points to a European sustain machine learning project to cut energy use. Advises starting from well‑organized performance data, treating AI as a tool not a lasting moat, and keeping human judgment central.
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chapters (8)
- 0:00Introduction
- 2:16AI as 4th revolution
- 3:58Data drives AI
- 6:27Data explosion risks
- 8:57AI productivity lag
- 10:42AI and data strategy
- 12:49Lego’s AI transformation
- 15:38Human intelligence in AI
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