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Early days of AI - by Elad Gil
This essay considers modern language and diffusion models in the context of earlier AI research and hype cycles.

About Early days of AI - by Elad Gil
Early days of AI (and AI Hype Cycle) is an essay by Elad Gil published on the Elad Blog on August 21, 2023. It argues that large language models, transformers, and diffusion models should be understood as a new era and a discontinuity from earlier machine learning work such as CNN, RNN, and GAN systems, rather than a continuation of it.
The essay traces the milestones that drew attention to the current wave, from GPT-3 in June 2020 to image-generation products like Midjourney and Stable Diffusion and the launch of ChatGPT, and frames adoption in four waves beginning with generative AI-native companies and early startup adopters. It concludes that most large enterprises are still evaluating what the technology means for them and that true enterprise adoption remains many quarters or years away.
Key features
- Argues LLMs, transformers and diffusion models mark a discontinuity from earlier AI waves
- Traces milestones from GPT-3 in 2020 through ChatGPT and GPT-4
- Frames adoption in four waves, from generative AI-native companies onward
- Compares the shift to the arrival of aviation, not faster cars
- Draws on the author's ML work at Google and Twitter and investing experience
- Written by someone with hands-on ML product work at Google and Twitter and a decade of ML investing
- Offers a structured four-wave framework for thinking about AI adoption
- Explicitly credits prior ML and deep learning waves while arguing the current one is different
- Presents the author's own argument and anecdotal slides rather than original research data
- Reflects the state of AI only up to its August 2023 publication date
Early days of AI - by Elad Gil at a glance
- Official website
- blog.eladgil.com/p/early-days-of-ai
- Category
- News & Media › Tech News
- Type
- Publication
- Platforms
- Web
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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