@cstross @KevinMarks Like that's basically saying the LLM bubble is an opportunity to do research in the actually useful parts of AI. Sure, but like you say, these companies waste billions on long shots all the time; they could do that any time they want

LB: it's funny to me that in the context of that AI bubble story is the Google CEO out there saying "The risk of underinvesting is dramatically greater than the risk of overinvesting for us here" -- like looking at the Google of 10 years ago, they were the company to beat in conventional AI natural language processing and pre-LLM machine learning as part of an actual product or service millions of people use every day,

it's like all of a sudden they decided their remaining existing products and services were worth zero and they urgently have to invest whatever they can in LLM like just another monster-of-the-week venture effort

like if anyone can say there is a risk of overinvesting in some new unproven experimental direction compared to existing stuff _they_ know works, it should be those guys