If all internet data could be saved in a disk, alongside with model weights, then what's the difference of pulling the knowledge out of the weights exclusively,

If all internet data could be saved in a disk, alongside with model weights, then what's the difference of pulling the knowledge out of the weights exclusively, versus weights and jpeg images? I don't see any difference. The only difference might be compression, model weights throw away the noise and save the signal only. For me humans versus machines is not an interesting competition. Machines will always win in a narrow specialized domain. A more interesting competition is a very experienced human, versus an amateur who knows how to use A.I. Statistical/probabilistic models get confused, and they can easily wander aimlessly into rabbit holes. But a human who knows how to control the A.I. but is amateur at that particular narrow task, could guide it and at the end perform the same, or even better than the more experienced person. In chess that's not true due to the super narrowed down domain of 64 squares and 6 different pieces, but anything that is more general a natty intelligence is necessary. When I use it for programming, I never ask it to write code, i guide it to write that function, and use that other function from a library. If it is let free to guess, it will guess correctly 90% to 99% of the time, but if it is instructed then the code is almost flawless, nine nines percent of accuracy.