Big Short investor Steve Eisman says the AI labs know they have no moats and are manufacturing a crisis to get regulation that hands them a duopoly "I think this is all nonsense." [ You think it's all nonsense? ] "All nonsense. I think that there's something else completely going on here. ... What I think is happening is that token maxing is over. The open weight models are taking big market share. I think these companies are very nervous. They realize that there are no moats around their business whatsoever, and they're trying to manufacture a crisis that will create regulation, and that they think they can then manipulate to create the moats, to create the duopoly that they want." [ Wow. ] "That's what I think is going on." "Honestly, I think this whole Terminator thing is garbage. That's for sure."

Token prices keep getting cut. The headline all month is that AI got cheap. Arvind Jain @jainarvind runs Glean, which sits between big enterprises and every frontier model and watches what they actually spend. He says the bill went the other way. "on a per token basis, they're more expensive, sometimes double or quadruple the rates of the previous models. And then users actually use them to run much longer tasks. So you're spending, like, 10 times, 20 times, more, on a per user basis, than what you were doing last year" Then this. "in the last three months, because AI got so expensive, businesses have started to find it untenable to maintain these AI investments" A year ago he says open source usage was minuscule and carried a stigma. Now he says most enterprises call it a key part of the strategy.

Hugging Face is getting one new repository every seven seconds. That is roughly 12,000 new models and datasets a day, every day. Clem Delangue @ClementDelangue said it on stage at AMD's developer conference with Lisa Su sitting next to him. 3 million public models on the platform today. He thinks it ends up in the hundreds of millions. One model per company, per use case, per person.