I figure with Lemmy having much fewer users, there’s less potential for toxic communities to form.
I figure with Lemmy having much fewer users, there’s less potential for toxic communities to form.
4 hours in, can still read it. Agree with your assessment, too.
It’s sort of a strange approach, because this will leave you with the workers who can’t find employment elsewhere.
If I met a human who needs constant blood and urine tests, I’d assume said person is ill.
It’s a little known fact, but if you killed an animal yourself, its meat is vegan.
So, what do you not like about the Freetube’s UI and UX?
So you’re a sadist, but you try to convince yourself it’s okay because you only want to torture people you think deserve it. Of course, no one deserves to be tortured.
Yeah, it does. Perfect opsec is impossible even with encryption.
That said, it’s misleading and inaccurate to state that neural networks are just statistics. In fact they are substantially more than just advanced statistics. Certainly statistics is a component—but so too is probability, calculus, network/graph theory, linear algebra, not to mention computer science to program, tune, and train and infer them. Information theory (hello, entropy) plays a part sometimes.
What I meant when I said that they are advanced statistics is that that is what they do. I know that a lot of disciplines play a part in creating them. I know it’s incredible complicated, it took me quite a while to wrap my head around what the back-propagation algorithm.
I also know that neural networks can do some really cool stuff. Recognizing tumors, for example. But it’s equally dangerous to overestimate them, so we have to be aware of their limitations.
Edit: All that being said, I do recognize that you have spent much more time learning about and working with neural networks than I have.
0 upvotes 0 down votes at time of writing. I agree with you, though.
The thing with AI is, what the term today refers to most often is neural networks, which are really advanced statistics. And the thing is, to get more precise statistics, you need exponentially more data. And of course the marginal utility decays exponentially. So exponentially increasing marginal expenses meet exponentially decaying marginal utility.
In addition, this tactic will result in the best employees leaving first, because they’ll get employed somewhere else.
So, where does entitlement fit into all of this?
I do want to find the most relevant topics at the top of a community, though.
If you’re eating yourself, no. If you have a disease to pass on, you can’t catch the disease, because you already have it.
Language models in the end, are just statistics. And to make statistics more accurate, you need more data. Exponentially more data. At the same time, the marginal utility of precision decays exponentially. Exponentially increasing marginal costs are met with exponentially decaying marginal utility.
Yes, I think Copyright lasts way to long. In fact, I believe that in an ideal world, copyright wouldn’t exist, because artists should be free to create whatever they please. So if a painter wants to paint, say Han Solo wearing a silly hat, they should be free to do so, but under copyright, they can be sued if they do so. Of course I realize that artists need to sustain themselves, and therefore need to monetize their artwork, hence we have copyright. But even then, it should be limited to, say, 20 years from creation of the work. That way, the artists would be able to monetize their work, even handsomely, but it would stop cultural landlords like Disney from arising.
I must admit I don’t keep up with chip developments.
Idea: Governments maintain a list of entities that are evading the law like that, and then doesn’t prosecute people who are accused of crimes against such entities. The idea being that if you place yourself outside of the law’s reach, you also place yourself outside of the law’s protection.