I don't necessarily agree with you but I agree with this discussion. This kind of long-hard-look at what intelligence means is necessary today. We need to under

I don't necessarily agree with you but I agree with this discussion. This kind of long-hard-look at what intelligence means is necessary today. We need to understand what we have here, what is this AI, what is our intelligence, and how much we can rely on AI. Just 12 months ago if you polled here you would find much more naive opinions. But now we are learning fast to evaluate AI and human work critically. We have had our hundred hours of AI play and all tried to make it stumble, then to make it work, and in the end we are wiser for it. Regular citizens even know not to trust the bunch of benchmark scores every new model shoves in our eyes, like hardened ML researchers. And basic AI concepts are infiltrating and getting root in the public - model, parameters, tokenisation, datasets, fine-tuning, vector search, and their complex interplay.