Is AI a bubble? And if so, is it the kind of bubble that leaves behind fertile ground from which something even better grows (the Web 1.0 bubble) or the kind that leaves behind nothing but debris (the 2008 housing bubble)?
Cory's primary argument is that LLMs are incredibly expensive to maintain and, as a result, if/when this current bubble pops, the next generation of creators won't be able to leverage them as the basis for even better products and companies (built, perhaps, with more altruistic motives).
I don't have enough technical knowledge to have an opinion on that.
But it sure does feel like August of 1999, when it seemed like all the interns decided, en masse, to skip their second year of B school because they were all going to retire before the age of 30. (There were a shit-ton of repossessed Beemers a year later.)
To be fair, that's what the crypto bubbles (ICOs in 2017 and NFTs in 2021) felt like too. I have a hard time playing around with ChatGPT like I did with HTML, mainly because everyone is so goddamned convinced it's going to make them rich.
Everything's a hustle, a grind, a race towards unimaginable wealth. And when this many people think they've bought a winning lottery ticket, that's when you should starting considering if the game might be rigged.
I am happily coaching more companies than ever. And many of them are using AI. Will they be around in two years? I hope so. And if not, I hope they've at least been armed with the necessary skills to build something even better before the end of the decade.
#ai #bubble #startups