FaceDeer

Those jobs are also being replaced by AI. Modern AIs are trained on synthetic data, which is data that was generated from source material specifically for training purposes by other AIs. AIs reformat, rewrite, and vet the source material more reliably and efficiently than humans.

AI models don’t actually contain the text they were trained on, except in very rare circumstances when they’ve been overfit on a particular text (this is considered an error in training and much work has been put into coming up with ways to prevent it. It usually happens when a great many identical copies of the same data appears in the training set). An AI model is far too small for it, there’s no way that data can be compressed that much.

Those sadly will also be replaced over time with machines and there is something we will really lose.

Not all of the things we lose will be sad, though. An AI researcher has the potential to be more thorough and less biased when it comes to digging up and interpreting resources.

If it’s not communicating anything, what’s the point?

My point is that if we turn up our gibberish dial now then at least our llms will be learning the wrong thing & we have some control.

We’d be covering ourselves in poop to prevent people from sitting next to us on the train. Sure, people will avoid sitting next to us, but in the meantime we’ll be covered in poop.

And then other people will learn the trick, cover themselves in poop too, and now everyone’s poopy and the trick stops working.

There is still a lot of understanding that we do automatically that an llm will never do.

Are you willing to bet the convenience of comprehensible online discourse on that? “Automatically understanding stuff” is basically the one job of LLMs.

LLMs model language, and coming up with some kind of “gibberish” filter is simply inventing a new language. If there’s semantic meaning in it the LLMs will figure it out just like any other language, and if there isn’t semantic meaning then we’ve lost the ability to communicate entirely. I see no upside.

Well, the “at least for now” part is my point - if people start using “gibberish” to communicate or to hide their communication, that provides training material for LLMs to let them figure out how to use it too.

LLMs learn how to communicate based on existing examples of communication. As long as humans are communicating with each other somehow then LLMs will be able to train how to do that too. They have the same communication capabilities that we do at this point, so there’s not really any way we can make a secret clubhouse that they can’t figure out how to infiltrate.

Personally, I think there’s two main routes we can go to deal with this. Either we can simply accept that there’s no way to be 100% sure we’re talking to a human any more and evaluate the value of our conversation based on the content of the words spoken rather than the composition of the entity generating them, or we could come up with some kind of “proof of personhood” system to allow people to label the text the write as coming from them.

The latter is extremely hard to do, of course, both from a technical and cultural perspective. And such a system would likely still allow someone’s “person token” to be sneakily used by AI, either by voluntarily delegating it (I could very well be retyping all of this out of a ChatGPT window) or through hackery.

So I’m inclined toward the former. If I’m chatting with someone and I’m having a good time doing it, and then later I find out it was a bot, why should that change how much fun I had?

I don’t see how that would be practical. People who aren’t “in on the joke”, as it were, will call out the gibberish and downvote it. If enough people are “in on the joke” then the whole forum becomes useless and some other forum will be created to fill the role of the original. The AI will train off of that one.

Basically, if you don’t want an AI training on your content, then don’t post your content in public where an AI will see it. The Fediverse is the last place you should be posting since its very nature is about openly broadcasting your content to whoever wants to see it.

You realize that this is only going to train LLMs how to recognize “gibberish?”

It’s more impressive when you use inpainting to preserve the beak, eye, and feet from the original source image.

If you divide the sides up to “people who care about this stuff” and “people who just want to make games”, then yeah. One side’s doing okay.

Frankly, nobody that’s involved in this fight are looking good to me on either “side.” It’s a fight that shouldn’t be happening at all. This is a game engine. Why is it a battleground for this?

Yeah, I’ve got my own anecdote to chip in with on that, my dad was in the hospital for a month with a plethora of various potentially-fatal difficulties he was fighting with. There were ups and downs but many of the problems were being addressed. Then the diagnosis finally came in that the root cause was advanced lymphoma and there was no realistic chance of “beating” it, he died later that very day.

I don’t think that it’s necessarily a question of “willing yourself to die” or “willing yourself to live,” but I do think that one can decide how much effort is worth putting into the fight versus deciding to relax and let it go. Whether consciously or subconsciously.

Yeah. Scientific papers may teach an AI about science, but Reddit posts teach AI how to interact with people and “talk” to them. Both are valuable.

The term AI was coined in 1956 at a computer science conference and was used to refer to a broad range of topics that certainly would include machine learning and neural networks as used in large language models.

I don’t get the “it’s not really AI” point that keeps being brought up in discussions like this. Are you thinking of AGI, perhaps? That’s the sci-fi “artificial person” variety, which LLMs aren’t able to manage. But that’s just a subset of AI.

By the time intergalactic navigation is relevant we’ll have likely dismantled Earth. The vast majority of it is just sitting there generating gravity, a huge waste of its potential.

I was going to suggest the Great Attractor or the Shapley Supercluster, but I think your suggestion is better. It’s more point-like and since it’s farther away (well outside of the reachable universe) it results in a more uniform set of directions over long distances.

Of course, cultural influence will be big. If these explorers are Terragen then most likely the Milky Way’s north/south direction will be pretty deeply ingrained in their coordinate systems. They might keep on using that, since it’s not like manual astrolabe-style navigation will ever be relevant at that level of technology.

If this isn’t a military battle then that makes Israel’s actions look even worse.

They were triggered indiscriminately. Israel had no way of knowing who was holding each pager or where it was located when it went off.

That’s an arms race that can’t really be won. Every advance in “AI detection” translates directly into an advance in AI training. It’s like publishing security holes in a piece of software, it means they get fixed in the next release.

It’s complicated, but this might be considered a war crime. A key quote from the article:

A booby trap is defined as “any device designed or adapted to kill or injure, and which functions unexpectedly when a person disturbs or approaches an apparently harmless object,” according to Article 7 of a 1996 adaptation of the Convention on Certain Conventional Weapons, which Israel has adopted. The protocol prohibits booby traps “or other devices in the form of apparently harmless portable objects which are specifically designed and constructed to contain explosive material.”

The prohibition is presumably intended to make it less likely that a civilian or other uninvolved person will get injured or killed by one of these seemingly harmless objects. If you’re booby-trapping military equipment or military facilities then that’s not a problem, civilians wouldn’t be using those.

It’s actually cromulent technical terminology to call those extra degrees of freedom “dimensions”, it’s only in common parlance that “dimension” is restricted specifically to spatial dimension. Having hundreds or even thousands of dimensions is not unknown in data science.