But I don’t think that’s necessarily a problem that can’t be solved. LLM and so on are ultimately simply statistical analysis, and if you refine it and train it enough, it can absolutely summarise at least one paper at the moment. Google’s Notebook LM is already capable of it, I just don’t think it can quite pull off many of them yet. But the current state of LLMs is not that far off.
I agree with AIs being way over hyped and also just having a general dislike for them due to the way they’re being used, the people who gush over them, and the surrounding culture. But I don’t think that means we should simply ignore reality altogether. The LLMs from 2 or even 1 year ago are not even comparable to the ones today, and that trend will probably keep going that way for a while. The main issue lies with the ethics of training, copyright, and of course, the replacement of labor in exchange of what amounts to simply a cool tool.
But I don’t think that’s necessarily a problem that can’t be solved. LLM and so on are ultimately simply statistical analysis, and if you refine it and train it enough, it can absolutely summarise at least one paper at the moment. Google’s Notebook LM is already capable of it, I just don’t think it can quite pull off many of them yet. But the current state of LLMs is not that far off.
I agree with AIs being way over hyped and also just having a general dislike for them due to the way they’re being used, the people who gush over them, and the surrounding culture. But I don’t think that means we should simply ignore reality altogether. The LLMs from 2 or even 1 year ago are not even comparable to the ones today, and that trend will probably keep going that way for a while. The main issue lies with the ethics of training, copyright, and of course, the replacement of labor in exchange of what amounts to simply a cool tool.