Communist

That’s not the only way to make meaningful change, getting people to give up on llms would also be meaningful change. This does very little for anyone who isn’t apple.

Meaningful change is not happening because of this paper, either, I don’t know why you’re playing semantic games with me though.

It does need to do that to meaningfully change anything, however.

that’s very true, I’m just saying this paper did not eliminate the possibility and is thus not as significant as it sounds. If they had accomplished that, the bubble would collapse, this will not meaningfully change anything, however.

also, it’s not as unreasonable as that because these are automatically assembled bundles of simulated neurons.

It is, but this did not prove all architectures cannot reason, nor did it prove that all sets of weights cannot reason.

essentially they did not prove the issue is fundamental. And they have a pretty similar architecture, they’re all transformers trained in a similar way. I would not say they have different architectures.

those particular models. It does not prove the architecture doesn’t allow it at all. It’s still possible that this is solvable with a different training technique, and none of those are using the right one. that’s what they need to prove wrong.

this proves the issue is widespread, not fundamental.

That indicates that this particular model does not follow instructions, not that it is architecturally fundamentally incapable.

I think it’s important to note (i’m not an llm I know that phrase triggers you to assume I am) that they haven’t proven this as an inherent architectural issue, which I think would be the next step to the assertion.

do we know that they don’t and are incapable of reasoning, or do we just know that for x problems they jump to memorized solutions, is it possible to create an arrangement of weights that can genuinely reason, even if the current models don’t? That’s the big question that needs answered. It’s still possible that we just haven’t properly incentivized reason over memorization during training.

if someone can objectively answer “no” to that, the bubble collapses.

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Thank you I really appreciate your kind words.

Fedora is not preferred because there are legal issues surrounding patents, this makes it so that if you want to, for example, watch a twitch stream… it just won’t work.

bazzite and aurora have fixes for this built in, which is why I recommend them over raw fedora.

don’t do kubuntu, it is a terrible place to start for beginners. I don’t think we should be recommending ubuntu at all, I think bazzite is objectively a better starting place.

The mere fact that bazzite and other immutables generate a new system for you on update and let you switch between and rollback automatically is enough for me to say it’s better, but it also has more up to date software, and tons of guides (fedora is one of the most popular distros, and bazzite is essentially identical except with some QoL upgrades).

How common is the story of “I was new to linux and completely broke it”? that’s not a good user experience for someone who’s just starting, it’s intimidating, scary, and I just don’t think it’s the best in the modern era. There’s something to be said about learning from these mistakes, but bazzite essentially makes these mistakes impossible.

Furthermore because of the way bazzite works, package management is completely graphical and requires essentially no intervention on the users part, flathub and immutability pair excellently for this reason.

theres also the fact that ubuntu ships very out of date software… among other things regarding privacy concerns, snaps being terrible, just don’t.

I have 15 years of linux experience and am willing to infinitely troubleshoot if you add me on matrix.

Hilarious chaos is widely regarded as a nazi server, so it has a lot of defeds, they post a lot of antitrans content and it’s not against the rules, you may want to try another instance.