What is the trap here? Do these AI models need to be built this way? Is there a way beyond the LLM, you know, training, feeding, more and more and more paradigm?

A lot of people in the industry, or some people in the industry, it's hard to know how many [laughs], but there's certainly a, a bunch of developers that are trying to build smaller models that scale better, that take fewer resources.

None of these models that I've seen so far are really replacements for large language models, but they are, um, good at solving certain problems, and some of them have been put into use already, uh, in places where companies are using other kinds of AI models.

Um, so there is-- there are kind of grassroots efforts to create different types of AI.

If you look back historically, you know, AI was about trying to figure out how people use their own brains and translate that into code, trying to, like, simulate human reasoning that way, and those, the kind of old approach that was used in the sixties, um, and seventies was something that scaled better for the most part.

Um, and there's some people now that say we should go back to that method or, you know, combine that method with the current Uh, language model method.

But I think there is so much momentum behind the chatbot products essentially, uh, that there's not much will within the industry to try to figure out how to do things differently.

Like, Alex, does this, to you, jeopardize the whole project that these labs are trying to, trying to infuse generative AI into everything, but the everything becomes harder to, to get?

Hmm

... and who should be able to have data, right? This, this is something that privacy advocates have talked about.

Jaron Lanier, I think, was one of the earliest people to be talking about this.

Um, I think he wrote in 2007, uh, about that you should get paid-- Like, you are being surveilled basically, and companies are taking-- They're monitoring everything you do.

They're generating data from your online activity.

That data is extremely valuable to them.

It might seem like nothing to you, but you should be getting paid for that.

Really?