Keynote: AI is having its moment ... again
summary
Argues this is the third AI summer, tracing concrete wins and failures: Dartmouth 1956 births symbolism and connectionism; Rosenblatt’s 1958 perceptron learns left vs right but fails to generalize; Minsky and Papert’s 1969 Perceptrons sinks single‑layer nets; Lisp machines and rival companies (Symbolics vs LMI) boom then collapse; expert systems like XCON save $25M/year but prove brittle; DARPA and corporate spending fuels bubbles; today companies spend $65–100B on frontier models while Nvidia posts +500% revenue growth and data‑center share rises to 89%; current LLMs hallucinate and lack multi‑step reasoning so they help narrow tasks but do not deliver AGI.
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chapters (8)
- 0:00AI hype introduction
- 3:57Origins of modern AI
- 12:04Symbolism vs connectionism
- 20:15First AI winter
- 24:31Expert systems and AI summer
- 33:02Are we in AI summer now
- 42:57Future of AI and winter risk
- 46:52Final thoughts
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