> AI generates text - it does nothing other than that. It's admittedly great at manipulating text, but that's where it's "general purpose transforming" stops.

> AI generates text - it does nothing other than that. It's admittedly great at manipulating text, but that's where it's "general purpose transforming" stops. I will refer you to the Vision Transformer: https://arxiv.org/abs/2010.11929 https://arxiv.org/abs/2010.11929 I suggest you do a literature review on the applications of ANNs, CNNs and attention mechanisms. They are quite numerous but I will concede that they generally 'just' do compression. AI encodes human concepts like emotions and spatial reasoning into vectors. Which, their analogous-ness to the real world, is more of a philosophical question than a practical one at this point. > It has impressive results, but comparing the value of human labor to the work AI can do is startlingly parallel to comparing the value of a database to the work a blockchain can do. I mean 'human labor' is a very general thing, compared to 'database' IMO. > The first most common use case of AI is for military purposes. This is true but the AI that the military uses is probably a far cry from what the public is able to access - and not from a technological advancement but a specificity standpoint. The military will want deterministic, non-opaque methods that are probably closer to the policy-gradient recommendation systems of old. Think Netflix and TikTok, not GPT. I can say from an investor standpoint AI is probably a bubble but only because its entire foundations are open source. There's no money to be made from it, therefore it's a bubble. Crypto on the other hand always had somewhat dubious foundations. There are few use cases for it, therefore it's a bubble.