the design is insane, the people behind it are insane, the story is double-insane.
sorry, i had to think for a while about this one.
I see what you mean, but is there any evidence that the models are biased in a way that affirms the world view of the owners? If I understood you correctly? I couldn’t find any.
so, this is an interesting point. we know they are biased because we’ve done fairness reviews, and we know that that bias is in line with the bias of silicon valley as a whole. whether that means the bias is a) intentional, b) coincidentally aligned or c) completely random is impossible to tell. and, frankly, not the interesting part. we know there is bias, and we know it aligns.
whether or not the e/acc people at openai actually share the worldview they espouse is also impossible to tell. it could also be just marketing.
I’m as sceptical of the capitalist fuckwits as you seem to be, but their power seems to me to be more political/capitalist through the idea of AGI, than through the models themselves.
as long as the product is sold as it is today, i believe it reinforces that power.
Something that simple sequestration could solve. But that’s on the government and the voters.
ESL moment… i don’t really understand what you mean by sequestration here. like, limit who is allowed to use it? i feel like that power lies with the individual user, even though regulation definitely can help.
For me, the issue lies first in the overhyped marketing which is par on course for basically anything, unfortunately, as well as the fact, that suddenly copyright infringement is fine, if you make enough money off of it and lick powerful boots. If it was completely open for everyone, it wouls be a completely different story IMO.
agreed, which is why i as an “abolish copyright law” person am so annoyed to find myself siding with the industry in the cases ongoing against the ai companies. then again, we have “open weight” models that can still be used for the same thing, because the main problem was never copyright itself but the system it exists within.
Also, I do not think that the models were created with the goal of pushing a certain narrative. They lucked into it being popular, completely unexpectedly, and only then the vultures started seeing the opportunity. So we will see how it evolves in that regard, but I don’t think this is what we’re seeing currently.
the purpose of a system is what it does. some people with a certain ideology made a thing capable of “expressing itself”, and by virtue of the thing being made by those people it expresses itself in a similar way. whether it is intentional or not doesn’t really factor into it, because as long as the people selling it do not see a problem with it it will continue to express itself in that fashion. this connects back to my first point; we know the models have built in bias, and whether the bias was put there deliberately or is in there as a consequence of ingesting biased data (for which the same rule holds) doesn’t matter. it’s bias all the way down, and not intentionally working against that bias means the status quo will be reinforced.
the problem with entirely separating the two is that progress and technology can be made with an ideology in mind.
the current wave of language model development is spearheaded by what basically amounts to a cult of tech-priests, going all-in on reaching AGI as fast as possible because they’re fully bought into rokos basilisk. if your product built to collect and present information in context is created by people who want that information to cater to their world view, do you really think that the result is going to be an unbiased view of the world? sure the blueprint for how to make an llm or diffusion model is (probably) unbiased, but when you combine it with data?
as an example, did you know that all the big diffusion models (stable, flux, illustrious etc) use the same version of CLIP, the part responsible for mapping text to features? and that the CLIP part is tailored for and trained on medical information? how might that affect the output? sure you can train your own CLIP, but will you? will anyone?
no matter your stance on the morality of language models, it’s just plain rude to use a machine to generate text meant for people. i would never do that. if i didn’t take the time to write it, why would you take the time to read it?
on the one hand, this is an ai horde-based bot. the ai horde is just a bunch of users who are letting you run models on their personal machines, which means this is not “big ai” and doesn’t use up massive amounts of resources. it’s basically the “best” way of running stable diffusion at small to medium scale.
on the other, this is still using “mainstream” models like flux, which has been trained on copyrighted works without consent and used shitloads of energy to train. unfortunately models trained on only freely available data just can’t compete.
lemmy is majority anti-ai, but db0 is a big pro-local-ai hub. i don’t think they’re pro-big-ai. so what we’re getting here is a clash between people who feel like any use of ai is immoral due to the inherent infringement and the energy cost, and people who feel like copyright is a broken system anyway and are trying to tackle the energy thing themselves.
it’s a pretty thorny issue with both sides making valid points, and depending on your background you may very well hold all the viewpoints of both sides at the same time.
i am actively looking for one to color-coordinate my bedroom.
i’ll get a cash bonus once the probationary period is up at my new job, which i can use to knock like 10% off of the cost of my mortgage.
a friend of mine is getting bottom surgery and i’m looking forward to it for them, it’s nice that people around me are happy.
also, dunno if it’s something to look forward to exactly but if it turns out i do have hypertension and i can get on exforge i may not only be rid of my chronic headaches but also figure out if i actually have adhd, since amlodipine apparently lessens the symptoms. it would be nice to be able to do things.
i found an “of” instead of “if”, and a missing quotation mark. what else was there?
anyone using map, filter, reduce, or anything in itertools or functools?
only github users. git itself doesn’t have PRs, and other forges call them different things. gitlab calls them merge requests, pico calls them patch requests…
pass and continue are absolutely not equal (pass is a noop, and python has a continue keyword that does what you think), and switch is called match like in many other languages. except is weird though.
+1 for swiss army man.
yeah but on other sites that gets removed. if you’re blockchain-backed, it stays online. also, most places remove hate speech. if you’re a “free speech absolutism” platform, guess where all the nazis are gonna go.
problem with odysee is that it’s full of nazis so nobody wants to use it. like literally, one of the first videos that comes up is from the nordic resistance movement. and since it’s based on the lbry blockchain illegal content can’t be removed, only hidden from the frontend.
currently i have projects going in python, go, rust, lua, zig, gleam, shell, and c#.
i don’t get much actual work done.
hibernation is in general not supported with full disk encryption, and is not recommended. you can do it but it’s a hassle and will lead to hangs on wakeup if you don’t configure it correctly. i gave up on it.
until you need a ^ and have to deal with dead keys
of course it isn’t the point, and i try to rp as much as possible in games like this, but sometimes you just need to talk tactics or get someone to do a quest with you. outright banning it seems counterproductive.
when they fix the hardcoded craftmethod table so we can do data-driven craftmethods, maybe. i tried years ago and the code was so spaghettified that i gave up.