AlteredEgo

@AlteredEgo@lemmy.ml · Joined ⁨Jan⁩ ⁨2024⁩

Replying to @⁨TheLowestStone@lemmy.world⁩

Well, lol. Theoretically with VR headsets and cyberdildonics like automatic fleshlights / masturbators it could come pretty close with the current technology. The kind of looks and environment and dirty talk you want. Obviously it would still be limited.

So AI generated VR porn with cyberdildonics actually could make much of sex work redundant. Theoretically this is a good thing. No human should have to do sex work or porn or onlyfans just for money to survive, if they don’t genuinely enjoy doing it. (EDIT)

China already regulated this so that AI chat bots must not create addiction. It’s probably a wise course to follow lol.

Replying to @⁨FoxtrotDeltaTango@sh.itjust.works⁩

I mean most of the influencer bullshit is artificial engagement anyway. People playing a role to entertain, gain attention, make money. If you look at porn comments, they are all dumb so it wouldn’t surprise me that the boomers leaving comments are similarly dumb “roleplaying”, knowing that this is just a fantasy sharing between gooners. They might simply not care if it’s real or not.

Personally I don’t get it, but whatever.

Replying to @⁨Cyanova@lemmy.dbzer0.com⁩

I mean that math is so far beyond me I have no clue if or how the proofs would “create anything” or lead to anything useful. I’m sure they do, besides adding a little bit to our civilization’s knowledge.

I do suspect that LLMs think very “broadly” with a very broad knowledge but can’t really reason very deep without training for a special problem. So rapidly trying different approaches does sound like how they do it. So maybe it is a little bit similar to a typing monkey except that it apparently did these proofs with a relatively limited budget.

Replying to @⁨djsiete@sh.itjust.works⁩

I literally say when the shit with Venezuela started that a ton of “leftists” as in “left wing politics” or people still fans of Obama - they supported the US action against Venezuela. How does that make sense if they do not think the US is still a democratic country. If you think your country isn’t “A” and accuses another country of not being “A” you’d call it hypocritical and not believe it. But they did.

There is a serious disconnect there, and I believe it starts with doublethink or a type of disconnect where people know the US is not democratic, but still believe the US is democratic and fighting the good fight against “authoritarian” regimes.

Replying to @⁨Cocodapuf@lemmy.world⁩

Depends how you define superintelligence, what I meant is a more specialized superintelligence than AGI. We already seen that with Go and Chess. But if AI overtakes humans in mathematics it takes on a different quality. But we will see. I doubt it stops here.

the machine churns, does some mystery math

Yeah, the sauce is in the mystery math. See my other reply. You’re making a category error.

Replying to @⁨MadameBisaster@lemmy.blahaj.zone⁩

It’s a “category error” like saying hydrodynamics are just quantum mechanics. It does not describe the complex emergent behavior and doesn’t really tell you anything. Or it’s like saying psychology is how the neurons and synapses connect with each and exchange signals and that is all - this would not explain the mental processes between a marmot and a human. So it’s not an accurate simplified description, just a description of the basic building blocks.

Afaik nobody knows how LLMs actually think, we only know sort of how to train them. They are researching how LLMs think with an equivalent to MRI brain scanning: Vista do LLM-MRI Python module: a brain scanner for LLMs

sol.sbc.org.brVista do LLM-MRI Python module: a brain scanner for LLMs

Replying to @⁨eicker@lemmy.world⁩

But they do plan to release the Astra model to the public “after it’s finished” I assume?

I misread your last sentence in a way that create a different problem: Imagine AI starts producing more and more proofs at a pace that humans can’t keep up with. So science advances, and humans can even make use of it, but can’t verify or really understand the theory any more. Like we get better working machines, materials and processes, but do not understand why because we can’t keep up. If that happened then that I guess would a significant stage in the singularity.

Replying to @⁨Womble@piefed.world⁩

synthetic text, images, video and audio designed to look truthful must be visibly marked as AI-generated and contain a digital watermark to show the artificial origins of the content.

Great! Basically the browsers could then just highlight or filter images that are AI generated based on the digital metadata. What would be important that all image generators put those metadata tags in, and all image manipulation software leaves then in by default. And that if you paste an image in some image tool, it copies the AI label.

All this costs basically nothing and hurts nobody. It’s just adding and reading some metadata. And A LOT of the anger about not being able to tell what is real and what is not disappears. The responses are seriously silly

And of course they then need to enforce this. You’ll still have images pretending to be real which are fake, but at least you can easily and quickly filter out the marked ones. Basically Brandolini’s law, it takes the viewer much more energy to debunk bullshit he’s seeing than spreading it. So this helps at least in that. And violations can be fined, and social media will not also be encouraged to ban users posting fake images without markers.

A fundamental human right people should have is the “RIGHT TO REALITY”, to know what is real and what is fake and to not be deceived. The most extreme would be to put people into “The Matrix” or a simulation without them knowing. And what we’re seeing today is kinda like this - politicians lie and mainstream media obscures.

Replying to @⁨poVoq@slrpnk.net⁩

The IP law is purely a function of economic power, so we know how that will go. To the maximum benefit of the plutocrats that rule our global civilization.

But the more interesting part is the philosophical discovery: If a piece of code can be generated from scratch by a machine that is not creative, then any comparable piece of code is also not creative. In other words, only the very first time a new type of code or algorithm is written can there be creativity - if one follows your argument that LLM machines cannot be creative. This essentially raises the bar for copyright, and makes an objective test of what is copyrightable or not possible. If you can describe something in a prompt, and get a result of comparable function and quality to a human written version, that code is not creative either, therefor not copyrightable.

Obviously we’re not quite there yet, but the more LLMs improve, the less code becomes copyrightable.

Coding becomes pure craftsmanship, like cutting and sanding some lumber and nailing it together to build a shed.

So if we were a rational and logical species, the overwhelming amount of copyright would be deleted and become public domain. Because it is now worth only the cheap solar power needed to generate it.

Replying to @⁨poVoq@slrpnk.net⁩

Not true, this does not occur frequently. This study and software LiCoEval from 2024 found 0.88% to 2.01% of code “strikingly similar to existing open-source implementations”. Afaik this is mostly textbook examples, snippets from stack overflow snippets or common github repositories, often replicated api examples and language boilerplate. How you prompt and refine also matters, and for generating novel code or business logic the LLM simply cannot use memorized snippets.

Presumably since then LLMs have worked to reduce that number of memorized code. Since LLMs cannot memorize all their training data, that number is limited. LiCoEval can find the often memorized examples and train to remove them, or suppress them, or they find other ways to reduce direct reproduction from memorization. For example it would be possible to do what malus.sh does with all the training data. Then it cannot memorize copyrighted code.

So for a model that came out 2026 this already small number might not be that relevant anymore.

arxiv.orgLiCoEval: Evaluating LLMs on License Compliance in Code Generation