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The author has more experience in the field than me, so gotta defer to him for the most part, and while I generally agree with the post, I disagree strongly wit
by joewferrara 3y ago
The author has more experience in the field than me, so gotta defer to him for the most part, and while I generally agree with the post, I disagree strongly with one point. The author frames this new era of AI about using transformer models (and diffusion models) but transformer models have been around for a while and have been useful from before GPT3, the model the author claims as the starting point for this new AI. BERT is a transformer model that came out in 2018 and is a very useful transformer style model, which showed the promise of transformers before GPT3.
Edit: Going back through the post, the author’s slide has Transformers labeled as 2017, so he is aware of the history and he’s just emphasizing that GPT3 was the first transformer model that he thinks had something interesting and related to the current AI explosion. I think BERT style models would be worth a mention in the post as the first transformer models found to be widely useful.
- whimsicalism 3y agoFrom the article, > The biggest inklings that something interesting was afoot came kicked with GPT-3 launching in June 2020 Yes, I agree with you that if you were in this field, this is quite late to the realization. Most of my grad seminar in NLP in 2018 imagined ChatGPT-style tech would be possible as "language modeling is essentially world modeling."
- eladgil 3y ago100% agree the theory on AI is old and actually dates back to the early days of "cybernetics". But the real difference is at what point do we considered it sufficiently reduced to practice? I chose GPT-3 but undoubtedly people can point to earlier examples as glimpses of what was coming for sure.