Again, CV is not new. Computational biological simulation isn’t new either. More computational power and better algorithms have been a source of significant progress in healthcare for many decades now. If we go back twenty years, protein folding simulation was all the rage, but of course most people outside CompSci hadn’t heard of it.

I call the current AI “hype” because all these advancements have been going on for a while, but most people are catching up only now because they got hooked on marketing material they see on the news.

Anyway, I’m going to paste my message here once again.

Funny that you call mine “ideological” though, since you are the one making claims without any substance, e.g. “it’s only going to get better”. How could you even know? Not even researchers at the very edge do. There have been concerns about the future availability and quality of data. Plenty of researchers have come forward pointing that poisoning a LLM is exceedingly easy. Really, how do you know that “it’s going to get better”? Explain that to me. What do you know that everybody else doesn’t?

How do you even know that AI, as we know it, it’s going to be revolutionary in the near future? Most people only know of technology successes because of survivorship bias, but I’ve been through several revolutions that faded out. How is this one different? And why would you think you’re right, when not even expert researchers are sure?

Now, are you an AI researcher? What do you know about any of this, exactly?