The Impact of LLMs on the Circular Economy and Beyond
summary
Claims that LLMs scale faster and broader than any prior tech: zero to 100 million users in two months, trained on “all” written math, physics, chemistry, biology, history and more and running with hundreds of billions of parameters. Reported productivity gains are concrete — around 30% broadly and 70% for programmers via tools like GitHub Copilot (built by ~10 people). A separate effort aims to build a reason‑based evidence engine for realtime fact‑checking.
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chapters (7)
- 0:00Introduction
- 1:11Herman Hauser on AI and quantum computing
- 2:16Five LLM aspects
- 4:27LLMs productivity revolution
- 6:14AI regulation and cooperation
- 7:19Balancing AI risks
- 9:06AI fact-checking future
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