Another Deezer user in the wild! Been a subscriber to it for years now.

Presumably Valve’s lawyers can make this case, so I guess we’ll see if the judge is receptive to it.

Thanks for the link, it was a very interesting read. While it is disappointing that it’s not actually a collective (assuming this blog post is accurate), having a platform run and owned by 6 creators is still better than YouTube’s governance structure, and still has the advantage in having both the capacity and desire to invest in creators.

An advantage of funding things via a collective like Nebula as opposed to each individual creator managing their own patrons is that new creators can start making bigger, more expensive projects quicker. Even established creators have this advantage, they can take bigger risks on bigger projects with the safety net of a share of the nebula pie.

I don’t think a project like The Prince would exist without Nebula, for example.

But seriously, are there really women who talk about men in those terms?

Yes. Personally, I see it as the mirror image of the “tradwife” thing where toxic men see their partner as a subservient maid. Seeing men as primarily an income source comes from a similar place imho.

Ublock origin isn’t the only ad blocker out there. If you like Ublock origin, use Ublock origin lite. It’s fully V3 compliant.

They pushed a driver update. That update is broken and causes the bootup sequence to fail.

So basically the Lemmy version of Subreddit Simulator, but allowing users as well?

Yes, absolutely. That is a concern that I too share, fellow meat being. We should be vigilant against superior, more capable, and really friendly artificial intelligences.

What normal people hear: “He took down the routers with some crazy complicated algorithms. He’s Neo in the matrix.”

What IT professionals hear: “He hired a bunch of people to keep sending spam letters to their tiny mailboxes until they were so stuffed that they couldn’t receive any legitimate mail.”

to have this relationship between A and B you have to make a third database

Probably just a mistake here, but you make a third table, not a new database.

Apart from that (and the fact that one to many and many to one is the same thing), yeah, looks correct.

Even the question of “who” is a fascinating deep dive in and of itself. Consciousness as an emergent property implies that your gut microbiome is part of the “who” doing the thinking in the first place :))

So, first of all, thank you for the cogent attempt at responding. We may disagree, but I sincerely respect the effort you put into the comment.

The specific part that I thought seemed like a pretty big claim was that human brains are “simply” more complex neural networks and that the outputs are based strictly on training data.

Is it not well established that animals learn and use reward circuitry like the role of dopamine in neuromodulation?

While true, this is way too reductive to be a one to one comparison with LLMs. Humans have genetic instinct and body-mind connection that isn’t cleanly mappable onto a neural network. For example, biologists are only just now scraping the surface of the link between the brain and the gut microbiome, which plays a much larger role on cognition than previously thought.

Another example where the brain = neural network model breaks down is the fact that the two hemispheres are much more separated than previously thought. So much so that some neuroscientists are saying that each person has, in effect, 2 different brains with 2 different personalities that communicate via the corpus callosum.

There’s many more examples I could bring up, but my core point is that the analogy of neural network = brain is just that, a simplistic analogy, on the same level as thinking about gravity only as “the force that pushes you downwards”.

To say that we fully understand the brain, to the point where we can even make a model of a mosquito’s brain (220,000 neurons), I think is mistaken. I’m not saying we’ll never understand the brain enough to attempt such a thing, I’m just saying that drawing a casual equivalence between mammalian brains and neural networks is woefully inadequate.

That’s a strong claim. Got an academic paper to back that up?

This is why I strictly refer to these things as LLMs. That’s what they are.

I’m happy with the Oxford definition: “the ability to acquire and apply knowledge and skills”.

LLMs don’t have knowledge as they don’t actually understand anything. They are algorithmic response generators that apply scores to tokens, and spit out the highest scoring token considering all previous tokens.

If asked to answer 10*5, they can’t reason through the math. They can only recognize 10, * and 5 as tokens in the training data that is usually followed by the 50 token. Thus, 50 is the highest scoring token, and is the answer it will choose. Things get more interesting when you ask questions that aren’t in the training data. If it has nothing more direct to copy from, it will regurgitate a sequence of tokens that sounds as close as possible to something in the training data: thus a hallucination.

Honest question: isn’t OSx considered the OS of choice for video and music editing?

Linux from Scratch and Gentoo are also pathways to abilities some would call… unnatural

Here you go. knowyourmeme.com is an excellent site for questions like this!

Ah, I misunderstood then, sorry. But still, even with all the investment in the world, LLM is a bubble waiting to burst. I have a hunch we will see truly world-altering technology in the next ~20 years (the kind that’d put huge swathes of people out of work, as you describe), but this ain’t it.