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You are conflating Illya's belief in the transformer architecture (with tweaks/compute optimizations) being sufficient for AGI with that of LLMs being sufficient to express human-like intelligence. Multi-modality (and the swath of new training data it unlocks) is clearly a key component of creating AGI if we watch Sutskever's interviews from the past year.

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Yes, I read "Attention Is All You Need", and I understand that the multi-head generative pre-trained model talks about "tokens" rather than language specifically. So in this case, I'm using "LLM" as shorthand for what OpenAI is doing with GPTs. I'll try to be more precise in the future.

That still leaves disagreement between Altman and Sutskever over whether or not the current technology will lead to AGI or "superintelligence", with Altman clearly turning towards skepticism.

Fair enough, shame "Large Tokenized Models" etc never entered the nomenclature.

Some terms I've seen used for the technology:

Big-Data Statistical Models

Stochastic Parrots or parrot-tech

plausible sentence generators

glorified auto-complete

cleverbot

"a Blurry JPEG of the Web" <https://www.newyorker.com/tech/annals-of-technology/chatgpt-...>

and just plain ol' "machine learning"

Do you have a link to one of these talks?

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