Only when the date in question is so oblique as to the original source being the only place in which the data exists, which is neither common, nor useful in practice.
Comment on Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away."
NaibofTabr@infosec.pub 10 hours agoThis comparison is invalid. Training a neural network algorithm is not equivalent to human learning. We are talking about data stored in machine learning models owned and controlled by multi-billion dollar corporations.
It has already been demonstrated multiple times that original training data can be reproduced completely from models, so yes, they are data storage systems. When they reproduce code which they have previously stored, even only in part, that is a derivative work. Adding extra steps to the transcribing process doesn’t make it any less a copy of the original.
Epp@lemmus.org 9 hours ago
AwesomeLowlander@sh.itjust.works 4 hours ago
That’s a stretch, since we don’t know exactly how human learning works. Yes we have more than just that one mechanism at work obviously, but that’s not to say we’re not using the same or similar method as part of our learning process.
So can a few savants, more if you take into account those with special training, etc. The ability to do so is obviously latent to our brain.
I don’t know about you, but I for one have not produced anything ‘original’ my entire coding career by that metric. I feel confident in saying the vast majority of programmers have not either.
Don’t mistake me, I’m well aware LLMs are not intelligent. But I disagree with the idea that their method of learning and their actions is inherently different from what the average person does.