zlacker

>>davidb+(OP)
Ilya booted him https://twitter.com/karaswisher/status/1725702501435941294

>>johnwh+Uc1
Jeremy Howard called ngmi on OpenAI during the Vanishing Gradients podcast yesterday, and Ilya has probably been thinking the same: LLM is a dead-end and not the path to AGI.

https://twitter.com/HamelHusain/status/1725655686913392933

>>dwd+zL1
Did we ever think LLMs were a path to AGI...? AGI is friggin hard, I don't know why folks keep getting fooled whenever a bot writes a coherent sentence.

>>erhaet+1O1
It's mostly a thing among the youngs I feel. Anybody old enough to remember the same 'OMG its going to change the world' cycles around AI every two or three decades knows better. The field is not actually advancing. It still wrestles with the same fundamental problems they were doing in the early 60s. The only change is external, where computer power gains and data set size increases allow brute forcing problems.

>>Rugged+9P1
> Anybody old enough to remember the same 'OMG its going to change the world' cycles around AI every two or three decades

Hype and announcements, sure, but this is the first time there's actually a product.

>>antifa+5J3
> Hype and announcements, sure, but this is the first time there's actually a product.

No, its not. Its just once the hype cycle dies down, we tend to stop calling the products of the last AI hype cycle "AI", we call them after the name of the more specific implementation technology (rules engines/expert systems being one of the older ones, for instance.)

And if this cycle hits a wall, maybe in 20 years we'll have LLMs and diffusion models, etc., embedded lots of places, but no one will call them alone "AI", and then the next hype cycle will have some new technology and we'll call that "AI" while the cycle is active...