When AI Became ML, and then AI Again: Tracing the Evolution of Terms and Technologies
summary
Tracks how the label shifts: AI originates in 1955, machine learning surfaces by 1959 and gets framed as the pragmatic subset through the booms and winters, with Dragon Dictation (1987) proving speech limits and companies like Lucid Works and Atlas Vector Search selling ML features. The recent generative surge (ChatGPT, late 2022) rebrands systems as AI because large models behave like humans — probabilistic and error-prone — what the talk calls bewildering speculation, driving demand for purpose-built infrastructure such as Trace Machina for physical‑world AI.
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chapters (10)
- 0:00AI and ML terminology
- 3:35Ancient AI concepts
- 6:30First AI boom pioneers
- 8:39First AI winter causes
- 10:32Second AI boom cycle
- 13:21AI spring to ML
- 17:37AI in products before 2022
- 20:46Generative AI revival
- 24:48AI intelligence BS
- 26:34Q&A
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