Copyrights don’t depend on whether I choose to publish a particular work or not.
Zuckerberg personally approved using pirated content to train a model. Is that OK too?
Copyrights don’t depend on whether I choose to publish a particular work or not.
Zuckerberg personally approved using pirated content to train a model. Is that OK too?
Even Aaron Swartz, the subject of this post, made a distinction (both in his writing/talks and his actions) between academic, scientific, and judicial articles, which he believed should be free for everyone, and other copyrighted content such as books and movies. He seemed to take a softer stance on the latter.
I am not a copyright zealot by any means, but I’m trying to keep an open mind regarding the seemingly knee-jerk “abolish all copyright” takes from certain people in the AI sphere.
Hackernews roots were not about the "original" hacking, but more about Silicon Valley for profit entrepreneurs creating stuff for profit to heavy quotes "make the world a better place" and "democratization X".
The real hackers were in usenet, /. and similar forums. Now, I'm too old and haven't found a good place.
Information wants to be free, copyright is a last century millennium construct to earn money from invention. (Before copyright, people got paid by patrons to invent their stuff).
Copyright should be left at the XX century door, and whoever wants to "monetize" their intellect should use methods for the XXI century.
What I mean is, all laws are fake, but while we have to follow some collective hallucination about magic words giving people authority—to keep society together—the specific delusion that we should enforce artificial scarcity by extending monopolies to patterns of information is uniquely silly.
Walks like a duck and quacks like a duck; I think it's a duck
Once a model is trained, the weights are static unless you train it again. This is a huge practical difference between LLMs and humans. I need to give the LLM the context I want it to consider every single time I use it, because it doesn’t learn from past use at all, it just produces a plausible string of words based on its constant, unchanging set of weights.