Live data from Hacker News

Gentoo AI Policy

wiki.gentoo.org

51–60 of 206 posts

Re: Gentoo AI Policy

#51

Earlier quoted context omitted.

[flagged]

Was this meant in response to what I wrote or did you mean to post this elsewhere in the thread? If the former, I'm not sure what am I supposed to do with this.

> Was this meant in response to what I wrote or did you mean to post this elsewhere in the thread? If the former, I'm not sure what am I supposed to do with this.

You wrote:

  You may notice that opinions are like assholes: everyone 
  has theirs. They're literally just "thoughts and feelings". 
  They may masquerade as arguments from time to time, much to 
  my dismay, but rest assured: there's nothing to "refute", 
  debate, or even dispute on them. Not in general, nor in 
  this specific case either.
I provided analysis supporting my position that the project maintainers most likely did not make this policy based on "literally just 'thoughts and feelings'" and, instead, made an informed policy based on experience and rational discourse.

I am not a Gentoo maintainer so cannot definitively state possibility #3 is what happened. Maybe one or both of the other two possibilities is what transpired. I doubt it, but if you have evidence refuting possibility #3, please share so we may all learn.

Re: Gentoo AI Policy

#52

Earlier quoted context omitted.

At least when I used Gentoo, the point of compiling from source was more about customization than security. I remember having to set so many different options. It was quite granular. Now I just compile certain things from scratch and modify them as needed rather than having an entire system like Gentoo do that, but I do see the appeal to some people.

Nix is another route as far as a compile-from-source package manager with lots of options on many packages.

I feel like most Gentoo folks probably moved over to Nix/NixOS.

The security argument for recompiling from source is addressed by the input addressed (sic) package cache. The customization aspect is mostly covered by Nix package overrides and overlays. You can also setup your own package cache.

Re: Gentoo AI Policy

#53
post #41

> Ethical concerns. The business side of AI boom is creating serious ethical concerns. Among them: Commercial AI projects are frequently indulging in blatant copyright violations to train their models. Their operations are causing concerns about the huge use of energy and water. The advertising and use of AI models has caused a significant harm to employees and reduction of service quality. LLMs have been empowering…

The idea that models are transformative is debatable. Works with copyright are the thing that imbues the model with value. If that statement isn’t true, then they can just exclude those works and nothing is lost, right? Also, half the problem isn’t distribution, it’s how those works were acquired. Even if you suppose models 44are transformative, you can’t just download stuff from piratebay. Buy copies, scan them, rip…

> The idea that models are transformative is debatable. Works with copyright are the thing that imbues the model with value. If that statement isn’t true, then they can just exclude those works and nothing is lost, right?

I don't follow.

For one, all works have a copyright status I believe (under US jurisdiction; this of course differs per jurisdiction, although there are international IP laws), some are just extremely permissive. Models rely on a wide range of works, some with permissive, some with restrictive licensing. I'd imagine Wikipedia and StackOverflow are pretty important resources for these models for example, and both are licensed under CC BY-SA 4.0, a permissive license.

Second, despite your claim being thus false, dropping restrictively copyrighted works would make a dent of course I'm pretty sure, although how much, I'm not sure. I don't see why this would be a surprise: restrictively licensed works do contribute value, but not all of the value. So their removal would take away some of the value, but not all of it. It's not binary.

And finally, I'm not sure these aspects solely or even primarily determine whether these models are legally transformative. But then I'm also not a lawyer, and the law is a moving target, so what do I know. I'd imagine it's less legal transformativeness and more colloquial transformativeness you're concerned about anyhow, but then these are not necessarily the best aspects to interrogate either.

Re: Gentoo AI Policy

#54

> Ethical concerns. The business side of AI boom is creating serious ethical concerns. Among them: Commercial AI projects are frequently indulging in blatant copyright violations to train their models. Their operations are causing concerns about the huge use of energy and water. The advertising and use of AI models has caused a significant harm to employees and reduction of service quality. LLMs have been empowering…

[deleted]

Re: Gentoo AI Policy

#55

> Ethical concerns. The business side of AI boom is creating serious ethical concerns. Among them: Commercial AI projects are frequently indulging in blatant copyright violations to train their models. Their operations are causing concerns about the huge use of energy and water. The advertising and use of AI models has caused a significant harm to employees and reduction of service quality. LLMs have been empowering…

> AI being trained on copyrighted data is considered fair use because it transforms the underlying data rather than distribute it as is.

It's not a binary. Sometimes it fully reproduces works in violation of copyright and other times it modifies it just enough to avoid claims against it's output. Using AI and just _assuming_ it would never lead you to a copyright violation is foolish.

> uses same energy as more than 100 GPT questions.

Are you including training costs or just query costs?

> But the reasoning is motivated from a wrong place.

That does not matter. What matters is if the outcome is improved in the way they predict. This is actually measurable.

Re: Gentoo AI Policy

#56
This might get me in trouble, but with all the negativity I’m seeing here I’ve got to ask.

Why do you care? Their sandbox their rules, and if you care because you want to contribute you’re still free to do so. Unless you’re an LLM I guess, but the rest of us should have no problem.

The negativity just seems overblown. More power to them, and if this was a bad call they’ll revisit it.

Re: Gentoo AI Policy

#57

> Ethical concerns. The business side of AI boom is creating serious ethical concerns. Among them: Commercial AI projects are frequently indulging in blatant copyright violations to train their models. Their operations are causing concerns about the huge use of energy and water. The advertising and use of AI models has caused a significant harm to employees and reduction of service quality. LLMs have been empowering…

> AI being trained on copyrighted data is considered fair use because it transforms the underlying data rather than distribute it as is. It's not a binary. Sometimes it fully reproduces works in violation of copyright and other times it modifies it just enough to avoid claims against it's output. Using AI and just _assuming_ it would never lead you to a copyright violation is foolish. > uses same energy as more than…

>That does not matter. What matters is if the outcome is improved in the way they predict. This is actually measurable.

Ok lets discuss facts.

>It's not a binary. Sometimes it fully reproduces works in violation of copyright and other times it modifies it just enough to avoid claims against it's output. Using AI and just _assuming_ it would never lead you to a copyright violation is foolish.

In the Anthropic case the Judge ruled that AI training is transformative. It is not binary as you said but I'm criticising what appears as binary from the original policy. When the court ruling itself has shown that it is not violation of copyright, it is reasonable to criticise it now although I acknowledge the post was written before the ruling.

>Are you including training costs or just query costs?

The training costs are very very small because they are amortised over all the queries. I think training accounts around .001% to .1% of each query depending on how many training runs are done over a year.

Re: Gentoo AI Policy

#58

Earlier quoted context omitted.

[flagged]

You're missing a very important reason 4 - There is a very active anti-LLM activist movement and they care more about participating in it than they care about free software. For example, see their rationale, which are just canned anti-LLM activist talking points. You see the same ones repeated and memed ad nauseam if you lurk on anti-AI spaces.

> You're missing a very important reason

> 4 - There is a very active anti-LLM activist movement ...

All I can say to this is that my position is Large Language Models (LLM's) are a combination of algorithms and data.

As as such, for me they do not qualify as anything to be either "pro" or "anti", let alone a participant of an activist movement.

Re: Gentoo AI Policy

#60
post #50

Earlier quoted context omitted.

Logical statements can be proven true/false. Definitions are not logical statements, they do not have truth values, therefore cannot be proven neither true, nor false. These are mathematical logic basics.

Yes. However, in some cases (though probably not the ones relevant here) a definition can be proven to be incoherent (or, to presuppose something false), which is vaguely similar to “being false”.

It would be difficult for a definition to make any presuppositions. You could have a definition that defines some set in which a contradiction is involved ("an integer is special if it is both prime and divisible by 4"), but then you'd say that the set so defined is empty, not that the definition is incoherent.
Post reply on HN