I wrote assembler 68000 during the Amiga demo scene days I did that too. And I couldn't be more enthusiastic about the current AI developments. I have been d

I wrote assembler 68000 during the Amiga demo scene days I did that too. And I couldn't be more enthusiastic about the current AI developments. I have been dreaming about an AI system which reads websites and predicts the next word ever since I got my hands on the web. And tried to predict if that could lead to strong AI. I even built a somewhat related experiment as my first public web project. A system which asks users for their favorite 3 bands and then predicts the next favorite band of that person. And after talking to a lot of users, it turned out quite useful. That made me even more convinced, that strong self-learning AI would become a thing. During the dotcom time, I was too inexperienced to fully grasp what is going on. I was doing my own thing, not enjoying the full picture as much as I could have. But now, with the advent of LLMs, I enjoy experiencing this shift in technology so much! Watching this explosion from day 0. With a much broader horizon than last time. I actually don't think that tinkering with LLMs themselves is the way to create the next Google. Yahoo was putting content directly on the web which seemed like the obvious way to create "the" web company. A media company made for this new medium. But the much bigger business model turned out to be to just leverage all the existing content. My feeling is that this time, it will be to leverage the existing LLMs and APIs out there and tie them together to something useful. So the Google of the AI era might turn out to be a good old Python program that makes and answers http requests.