Let's Terminate Climate Change with AI
summary
Argues that AI and data are applied to three concrete problems: scheduling heavy industrial processes by region-specific emission forecasts (models use wind, seasonality and grid mix and must be trained per region), computer vision to map reforestation and estimate stored carbon for certification (trees measured, carbon per area modeled, seven-year verification delay), and direct air capture economics (roughly $500/ton today versus ~\$100/ton needed); also simulates solar geoengineering before any field tests.
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chapters (12)
- 0:00Climate change and AI intro
- 2:18Why data pros must act
- 4:24Emission sources explained
- 7:01ESG progress in companies
- 8:54Predicting energy use
- 11:24Carbon emissions persistence
- 12:58Direct air capture challenges
- 14:03Reforestation with computer vision
- 16:11Climate risk management
- 18:26Geoengineering simulations
- 20:32Need for tech and creativity
- 21:58Call to action
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