Rendered at 20:47:23 GMT+0000 (Coordinated Universal Time) with Cloudflare Workers.
optimiz3 14 minutes ago [-]
Similar principle applies to open source or any other creative endeavor put in the public domain.
ndriscoll 20 minutes ago [-]
Simple: if you don't publish your work, we don't fund you. Why is this even a question?
perching_aix 22 minutes ago [-]
I'd guess universities might starting hosting open source models. They can probably actually afford to, unlike individual mathematicians.
Though maybe if there's a flurry of math-optimized agents coming up, like there are small coding agents, those might be feasible to host personally.
rramadass 1 days ago [-]
> Regardless of the true cost, it seems that professional mathematicians now need to wary about what they put into a LLM and think hard about how to disclose and publish a result.
This is all but guaranteed now.
Mathematicians/Scientists/Researchers need to stop sharing freely with "AI Companies" and have explicit clauses in place in their publications about not using their research without their explicit consent.
There should be a clear legal distinction between using research data for AI model-training vs. another researcher using it.
Come up with a legal framework, establish procedures for sharing and using others work and have a single scientific body in charge of enforcing it.
nradov 11 minutes ago [-]
Just putting a clause in a publication won't prevent it from being used as training data. Information wants to be free.
The frontier LLM vendors do sell enterprise licenses which contractually guarantee that your prompts won't be used for training. (Maybe they'll secretly violate the agreement but in principle it's legally enforceable.) Scholars and universities who care about credit and attribution will either have to purchase those licenses or run their own private open-weight LLM instances.
Analemma_ 1 minutes ago [-]
I don't like this and I wish it weren't true, but I think the era of "information wants to be free" is coming to an end. Increasingly, making your information free means you're the sucker who is doing free labor for AI companies, or worse, you're helping your competitors. Paywalls, login walls, and rate-limits are going up everywhere: there's the GitLab news on the home page right now, and sites like Twitter, Reddit etc. which used to be publicly-readable are now gated (and Xitter is using the legal system to shut down any bypasses).
I hate this but I don't think there's any going back now that LLMs exist.
JMKH42 23 minutes ago [-]
The USA doesn't have legal frameworks any more, you just buy and sell the right to do what you want. Even our supreme court is disingenuous now.
cyanydeez 2 days ago [-]
wouldn't it be dystopian secrecy cause a flock camera is equally capable of watching the mathematicians as it is the public citizens.
kakacik 27 minutes ago [-]
Maybe mathematicians are smart enough to never ever buy such piece of shit on higher principle, regardless of their actual fiasco?
Though maybe if there's a flurry of math-optimized agents coming up, like there are small coding agents, those might be feasible to host personally.
This is all but guaranteed now.
Mathematicians/Scientists/Researchers need to stop sharing freely with "AI Companies" and have explicit clauses in place in their publications about not using their research without their explicit consent.
There should be a clear legal distinction between using research data for AI model-training vs. another researcher using it.
Come up with a legal framework, establish procedures for sharing and using others work and have a single scientific body in charge of enforcing it.
The frontier LLM vendors do sell enterprise licenses which contractually guarantee that your prompts won't be used for training. (Maybe they'll secretly violate the agreement but in principle it's legally enforceable.) Scholars and universities who care about credit and attribution will either have to purchase those licenses or run their own private open-weight LLM instances.
I hate this but I don't think there's any going back now that LLMs exist.