One Year of Generative AI: What Has Happened and What's Next?
summary
Claims that generative AI reached mass use are concrete: more than 1 billion end users within a year, driven by the Transformer model (2017) plus GPU compute and web-scale data, and products like ChatGPT and Stable Diffusion. The economic argument is that the technology pushes the marginal cost of content generation → 0. Predicts personal and external digital twins, AI-augmented diagnostics surpassing top doctors, education transformed by infinitely patient tutors, and 3D movement/robotics enabling cheap, large-scale automation.
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chapters (7)
- 0:00Introduction
- 1:30What has happened in the last year
- 3:50The Holy Trinity
- 6:32Hype or New Platform
- 8:10Marginal Cost
- 9:00Value Capture
- 12:45Content Generation
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