zlacker

>>ssgodd+(OP)
Even if they win against openAI, how would this prevent something like a Chinese or Russian LLM from “stealing” their content and making their own superior LLM that isnt weakened by regulation like the ones in the United States.

And I say this as someone that is extremely bothered by how easily mass amounts of open content can just be vacuumed up into a training set with reckless abandon and there isn’t much you can do other than put everything you create behind some kind of authentication wall but even then it’s only a matter of time until it leaks anyway.

Pandora’s box is really open, we need to figure out how to live in a world with these systems because it’s an un winnable arms race where only bad actors will benefit from everyone else being neutered by regulation. Especially with the massive pace of open source innovation in this space.

We’re in a “mutually assured destruction” situation now, but instead of bombs the weapon is information.

>>dissid+B6
This suggests to me that copyright laws are becoming out of date.

The original intent was to provide an incentive for human authors to publish work, but has become more out of touch since the internet allowed virtually free publishing and copying. I think with the dawn of LLMs, copyright law is now mainly incentivising lawyers.

>>ndsipa+D7
What incentive do people have to publish work if their work is going to primarily be consumed by a LLM and spat out without attribution at people who are using the LLM?

>>phone8+I8
I notice this in myself, even though I've never particularly made money from published prose on the internet.

But (under different accounts) I used to be very active on both HN and reddit. I just don't want to be anymore now for LLM reasons. I still comment on HN, but more like every couple of weeks than every day. And I have made exactly one (1) comment on reddit in all of 2023.

I'm not the only one, and a lot of smaller reddit communities I used to be active on have basically been destroyed by either LLMs, or by API pricing meant to reflect the value of LLM training data.