Don't Buy the "A.I." Hype
summary
Argues that current "A.I." is large machine‑learning models not intelligence, warns of hype-driven harms and concrete costs: cites 97% of 200 US business leaders expecting immediate impact, models with billions of parameters, and Microsoft reporting 1.7 billion gallons extra water use; recounts a working experiment selling real goods for Linden dollars in Second Life and later collapse of hype bubbles like crypto and FTX, concluding models often make stuff up and responsibility rests with builders and deployers.
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chapters (11)
- 0:00Welcome
- 1:46Speaker intro
- 3:12AI hype history
- 6:00Defining machine learning versus AI
- 8:08Hype cycle effects
- 10:13Past hype cycles
- 13:23Second Life case
- 16:58Blockchain hype
- 19:46AI costs
- 20:53AI dangers
- 23:33Q&A
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