I don’t think you realize just how widely used some of those other models are… For instance, in gaming, DLSS is supported with every Nvidia GPU starting with the 20 series and up.

DLSS uses multiple machine learning models for things like predicting object/pixel movement, generating new frames between what you would normally be able to achieve, and then upscaling that image. Which is also why you want to download the latest drivers since those models are better trained for the more recently released games.

I wouldn’t call that a “small fraction” by any means.

But, maybe your referring to the amount of focus that the news has on LLMs like ChatGPT?

Ah, then I’ll refer you to Poe’s Law:

https://en.wikipedia.org/wiki/Poe’s_law

What about DLSS? What about machine learning for identifying new planets? ML Models for discovering new medicines? Object avoidance for drones? Transcribing and translating different languages?

AI is way bigger than just some Large Language Models.

I thought for sure it was going to be this video: https://www.youtube.com/watch?v=_2VDLYWi5ck&t=50s

That GitHub “archive here” link leads to a page where it hasn’t been archived… (or was the archive removed??).

If you think that “pretty much everything AI is a scam”, then you’re either setting your expectations way too high, or you’re only looking at startups trying to get the attention of investors.

There are plenty of AI models out there today that are open source and can be used for a number of purposes: Generating images (stable diffusion), transcribing audio (whisper), audio generation, object detection, upscaling, downscaling, etc.

Part of the problem might be with how you define AI… It’s way more broad of a term than what I think you’re trying to convey.