I think that's exactly the standpoint of Yann LeCun.
> The progress using narrowly intelligent algorithms to drive cars in a generalizable way was not as fast as the early gains in places the narrow algorithms could solve, thus the progress in using generally intelligent algorithms for any other field must also slow down.
Man, is this how 99% of the population works? They have a heuristic for anything that sounds computer sciencey and apply it for anything and everything that sounds similar without bothering to check if their heuristic actually applies?
> I’m reminded of
They were drawing a comparison, not saying "x will definitely happen because y"
The breathless astroturf articles, the brain-dead talking head conversations, the endless flood of obvious misinformation about industry uptake, the nauseating LinkedIn puff-pieces about PREPARING YOUR ENTERPRISE OR ELSE... it's a hostile information economy at best, and its being driven by the same people who brought you bullshit like self-driving, crypto and the Metaverse... for the exact same reasons (to get rich).
There's no epistemic credibility left in the tech industry in general. Maybe the Dario's or whoevers of the world believed what they were talking about at one point, but I don't believe a single word I read from Anthropic or OpenAI for the same reason I don't believe anything I read from Russian state media. I know it's being produced for reasons that have nothing to do with the truth.
As someone who interacts with the technology on a daily basis at a non-trivial level... I'm not seeing anything that would cure my skepticism about GenAI. The information economy surrounding it is broken. The fundamentals don't line up. The hype about "nearby capabilities" is identical to the hype of generations after generations of hype in the AI space (dating at least back to Turing). It smells like a bad bet.