I think there’s gray areas where someone comes in hot to play devil’s advocate and if they have a history that looks like a normal contrarian person elsewhere they might just get a removal and/or a warning, but if they’re a 2 day old account with 5 one word comments, there’s no reason to give them the benefit of the doubt.

Granted, you shouldn’t expect mods to try to figure out your personal history and state of mind to know you weren’t trying to troll in your very first post in their community, but it’s at least something to try to sort out those gray area comments. Or something to review if the user appeals their ban.

And yeah, taking your bans with you in migration would be the cost of maintaining that history. It’s a commitment to owning your own posts and history.

From experience moderating on Reddit, user histories were pretty useful in judging whether they just made a mistake or were ban evading or trolling. If a fresh account drops in with a trollish comment as their first interaction with the community, they might just catch a ban rather than being treated as a good faith poster who came in too hot and deserves a second chance.

So if you migrate accounts in Lemmy, you’ll have to pay that price over again and risk more strict moderation because you have no history, whereas a Mastodon-like link to their previous account would establish a baseline.

The context is they’re positively stating the “men in women’s sports” part of that exchange.

https://lemmy.ca/comment/10767763

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It’s interesting how the most open instances aren’t the biggest ones with no user restrictions, but the smaller instances that no one has issues with. I moved away from LW because of performance issues, but I’m happy to be able to see both LW posts and BH posts. Sopuli has defederated from some instances, but I’m happy with their choices so it’s as unrestricted as I want it to be. Others would choose an even less restrictive/restricted small instance, or like yourself just run your own to have complete freedom.

There are probably self-driving cars in some alien civilizations.

Why stop there? The digital computer was introduced in 1942 and methods for solving linear equations were developed in the 1600s.

All of my artist friends also found it soul sucking, they just needed to make (real) money. Friends of friends with the occasional $20 to spare for a commission just don’t pay the bills. I think the only artist friends I have that make a living off their chosen medium and don’t hate their job are lifestyle photojournalists.

What? Alexnet wasn’t a breakthrough in that it used GPUs, it was a breakthrough for its depth and performance on image recognition benchmarks.

We knew GPUs could speed up neural networks in 2004. And I’m not sure that was even the first.

This is unhinged. Someone building the mainline of an interoperable communication service should absolutely be helping others making software trying to interoperate with it. Complaints can be made about Rochko rejecting PRs, but complaining that other people’s time is going towards a thing they don’t want is insane.

“So they reached out to us and we had conversations about what they want to do, how they can do it, and we had more detailed conversations about how to do X, how to do Y protocol-wise. We helped them resolve some issues when they launched their first test of the federation because we want to see them succeed with this plan, so we help them debug and troubleshoot some of the stuff that they’re doing. Basically, we’re talking with each other about whatever issues come up.”

But from the perspective of hundreds of instances have signed the anti-Meta FediPact, and hundreds more are blocking Threads without signing the pact, any resources devoted to to improving the Threads/Mastodon integration are wasted.

None of these appeals to relative complexity, low level structure, or training corpuses relates to whether a human or NN “know” the meaning of a word in some special way. A lot of your description of what “know” means could be confused to be a description of how Word2Vec encodes words. This just indicates ignorance of how ML language processing works. It’s not remotely on the same level as a human brain, but your view on how things work and what its failings are is just wrong.

No, not even remotely. And that’s kind of like citing “the first program to run on a CPU” as the start of development for any new algorithm.

It isn’t. People design a scene and then change and refine the prompt to add elements. Some part of it could be refreshing the same prompt, but that’s just like a photographer taking multiple photos of a scene they’ve directed to catch the right flutter of hair or a dress or a creative director saying “give me three versions of X”.

Ready to get back to my original questions?

I don’t disagree, just pointing out that it’s not “good riddance” for a lot of artists that depend on that to have any job in art.

No, both of those examples involve both design and selection, which is reminiscent to the AI art process. They’re not just typing in “make me a pretty image” and then refreshing a lot.

Is a photographer an artist? They need to have some technical skill to capture sharp photos with good lighting, but a lot of the process is designing a scene and later selecting among the photos from a shoot for which one had the right look.

Or to step even further from the actual act of creation, is a creative director an artist? There’s certainly some skill involved in designing and recognizing a compelling image, even if you were not the one who actually produced it.

GameStop also went up. It doesn’t mean GameStop is a good company that’s valuable to own, it just means that dumb people will buy things without value if they think they can eventually pass the bag to someone else. If someone purchased every share of Amazon they’d own a massive asset that would continually produce value for them. If someone bought every outstanding Bitcoin, it both wouldn’t produce ongoing value, but the value would actually go to zero.

The problem is that shit art is what employs a lot of artists. Like, in a post-scarcity society no one needing to spend any of their limited human lifespan producing corporate art would be awesome, but right now that’s one of the few reliable ways an artist can actually get paid.

I’m most familiar with photography as I know several professional photographers. It’s not like they love shooting weddings and clothing ads, but they do that stuff anyway because the alternative is not using their actual expertise and just being a warm body at a random unrelated job.

I’m referencing ChatGPT’s initial benchmarks to its capabilities to today. Observable improvements have been made in less than two years. Even if you just want to track time from the development of modern LLM transformers (All You Need is Attention/BERT), it’s still a short history with major gains (alexnet isn’t really meaningfully related). These haven’t been incremental changes on a slow and steady march to AI sometime in the scifi scale future.

Except when it comes to LLM, the fact that the technology fundamentally operates by probabilisticly stringing together the next most likely word to appear in the sentence based on the frequency said words appeared in the training data is a fundamental limitation of the technology.

So long as a model has no regard for the actual you know, meaning of the word, it definitionally cannot create a truly meaningful sentence.

This is a misunderstanding of what “probabilistic word choice” can actually accomplish and the non-probabilistic systems that are incorporated into these systems. People also make mistakes and don’t actually “know” the meaning of words.

The belief system that humans have special cognizance unlearnable by observation is just mysticism.