@communist@beehaw.org avatar

communist

@communist@beehaw.org

I’m an anarchocommunist, all states are evil.

Your local herpetology guy.

Feel free to AMA about picking a pet/reptiles in general, I have a lot of recommendations for that!

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communist,
@communist@beehaw.org avatar

It’s literally the worst distro, github.com/arindas/manjarno

Endeavoros is fundamentally better in every way, everything manjaro adds makes arch worse, and everything good they have comes from arch.

communist,
@communist@beehaw.org avatar

Manjaro 100%

Everything they add to arch makes arch worse. Everything good about manjaro comes from arch.

communist,
@communist@beehaw.org avatar

For graphical installer - there are already plenty of these for arch that aren’t manjaro and don’t fuck up your system like manjaro does

As for package manager frontend… pamac is awful, just use octopi or any TUI.

There was no need to make a whole new distro for those two things, and those two things aren’t even well polished. They should’ve just made those tools for arch, and called it a day.

communist,
@communist@beehaw.org avatar

I use f2fs on ssd’s and ext4 on hdd’s

I don’t see the need for snapshots, I backup externally

Younger users of Lemmy: Did you ever love a game that you just really sucked at?

So I was watching a few youtubes and remembered how the vast majority (of like the ten) nes games me and my sister had were hard as all hell. I loved to play Little Nemo and Street Fighter 2010 but I am pretty sure I never made it past the third level of either. Let alone infamously hard games like The Lion King....

communist,
@communist@beehaw.org avatar

I brute forced my way through learning starcraft, it took literal years to get out of the bronze league, probably my most played game of all time. Can’t wait for immortal gates of pyre.

communist,
@communist@beehaw.org avatar

Not at all, it was annoying for a few weeks when reddit imploded but since then I haven’t had any problems.

communist,
@communist@beehaw.org avatar

A fork wouldn’t help anything at all, the problem is that nobody is working on the patches not that the devs won’t accept them

communist,
@communist@beehaw.org avatar

How did you get swayfx on sericea?

that was one of my only blockers for switching.

communist, (edited )
@communist@beehaw.org avatar

There is no consensus on this, some say they do, some say they don’t, i’ve read both sides extensively and have determined that it is obvious they are currently less intelligent than dogs, duh, what a shifted goalpost, dogs are highly intelligent, that is obvious, because their scale is nowhere near a dog brain. It is an open question if scaling solves this, but I think the potential with scaling is obvious due to two simple facts:

  1. Human brains work using the same unit parts, the structure is more complex, and number of connections is much higher, but none the less we are neural networks.
  2. Scaling has already been demonstrated to improve things.

You shouldn’t pretend a consensus has been reached based on those few articles, that is simply not the case. They also all pretend intelligence is magic and that we’ve reached a dead end, neither is true, one could say you don’t think, you predict muscle movements… You seem to not realize in order to predict text accurately you must reason. I’m fully aware they are advanced text predictors, but you are the same.

You should study neuroscience, you’ll find the purpose of a brain is to predict. “True AI” is just an endlessly shifting goalpost. It won’t be one until it is the size of a human brain, expecting a much smaller brain to outperform ours is silly.

communist, (edited )
@communist@beehaw.org avatar

You are vastly more complex than an LLM. There are hundreds of neural transmitters. 20 billion neocortical neurons and 7 thousand connections per neuron. A naive complexity of 2.8e16 combinations. Each thought tweaking those ~7000 connections as it passes from neuron to neuron.

Aware and irrelevant, if anything that helps my point.

The brains training that model are not that model. They are what does the thinking, the model is nothing more than a black box of statistical analysis that spits out stats in a human digestible format.

The brains training that model are thinking, in the exact same way that the AI is. You can pretend that isn’t thinking all you want, but what it’s doing is quite obviously reasoning in tokens.

It’s Stochastic: entirely based on statistical probabilities with no reasoning behind any of its outputs. It’s a parrot in that it can only construct that which has been fed to it as an output. It’s not “thinking in Estonian”: Estonian had been programmed into it either directly via Estonian language material being introduced or indirectly by Estonian patterns matching other similarly trained languages.

So are you. As we scale up, they quite obviously get better at reasoning, just like you said, we’re a much more complex version of this, it’s still bad at it, because it’s tiny. In your mind, how does thinking work, if not in the exact same way LLM’s do that?

Gpt4 still hallucinates all the time. It still fails to reason.

Sometimes it fails to reason, sometimes it hallucinates… so do you. Have you never accidentally said something false? Have you never failed to reason? Consider the following: the thoughts you actually share are a much smaller, filtered version of the thoughts that go on in your head, you’ve censored a massive portion of your thoughts, and you don’t share the bad ones, you’re the same, you just have a filter. You’re a much more complex, significantly more performant, significantly better version of an LLM that converts your sensations into muscle movements.

It is not doing novel things: it’s doing exactly what it has always done in unexpected ways but that’s very different from intelligence and thinking. What’s tripping people up is they’ve never interacted with anything that had the width of knowledge readily available. The complexity of encoding the entire world makes a huge surface where anyone can interact with it and get reasonable responses. That doesn’t make it reasoning, just that it has a very detailed latent space which is very good at natural language queries.

You have not demonstrated the difference, you’ve demonstrated that they’re worse at it, and you even explained WHY, they’re much smaller. That is exactly how the neural network in the brain works, you just want to say that your brain is magical. Yes, it is worse at reasoning than humans, but as demonstrated in that link, it gets better and better with size, unless you believe that the instructions for stacking every single object exists online, you have to accept that while these models are tiny, they’re already beginning to reason in the exact same way you do.

communist,
@communist@beehaw.org avatar

Weird considering they are on the side of the slaveowner…

communist,
@communist@beehaw.org avatar

It has been argued by many that cats have actually domesticated humans

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