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Dall-E 2

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Re: Dall-E 2

#461

Earlier quoted context omitted.

Thought-provoking post, thanks. Especially the part about maybe generating specifically tailored material to "train" folks. Although, while obviously moral instead of immoral like "gay conversion therapy", I wonder if it would be just as ineffective. and would cut down on the motivating factors to produce authentic CP (for which original production is often a requirement to join CP distribution rings). Hmmmmm. Will m…

But when watching normal porn, I think part of the thrill for many/most people is knowing that what's happening is real. Unless you understand real to just mean that actual humans were involved, describing porn as real seems to be a bit of a stretch more often than not.

I gave my audience a bit of credit there.

I am assuming that any adult reading this understands that professional porn is quite different from the sex most of us experience in our private lives in a number of major ways, both emotionally and physically.[1]

But anyway, yes. By "real" I mean "real human beings, having real sex."

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[1] There is a lot of homemade, amateur porn on the big well-known porn sites and it seems quite popular, and much of that is closer to what typical folks do at home. But that's beside the point.

Re: Dall-E 2

#462

Apologies for an open-ended question but: does anyone know if there is a term for something like Turing-completeness within AI, where a certain level of intelligence can simulate any other type of intelligence like our brains do? For example, using DeMorgan's theorem, we can build any logic circuit out of all NAND or NOR gates: https://www.electronics-tutorials.ws/boolean/demorgan.html https://en.wikipedia.org/wiki/N…

Almost everything stated here is simply wrong or misinformed. >For example, I went to an AI talk about 5 years ago where the guy said that any of a dozen algorithms like K-Nearest Neighbor, K-Means Clustering, Simulated Annealing, Neural Nets, Genetic Algorithms, etc can all be adapted to any use case. They just have different strengths and weaknesses. At that time, all that really mattered was how the data was prepa…

I appreciate your sentiment but can't agree with it. What I mean is, if I had the resources to not have to work for 10 years, I give myself greater than a 50% chance of building an AGI. So I don't understand why the world is taking so long to do it.

The flip side is that these narrow use cases progressed so quickly that we have to worry about stuff like deep fakes now.

Something's not right here.

As a programmer, I feel that what went wrong is that we invested too much in profit-driven endeavors, basically stuff that's mainstream. To be blunt, the academic side of me doesn't care about use cases. I care about theory, formalism, abstraction, reproducibility, basically the scientific method. From that perspective, all AI is equivalent, it just takes input, searches a giant solution space using its learned context as clues, and returns the closest solution it can in the time given. It's an executable piping data around. The rest is hand waving.

And given that, the stuff that AI is doing now is orders of magnitude more complex than running a Roomba. But a robot vacuum actually helps people.

To answer your question, a KNN could solve this if the user reshapes the image data into a different coordinate system where the data can be partitioned (all inference comes down to partitioning):

https://en.wikipedia.org/wiki/Change_of_basis

Tensors are about reshaping data into a coordinate system where relationships become obvious, like going from rectangular to polar coordinates, or using a Fourier transform:

https://en.wikipedia.org/wiki/Tensor

My frustration with all of this is the same one I have with physics or any other evolving discipline. The lingo obfuscates the fundamental abstractions, creating artificial barriers to entry.

Edit: I should add a disclaimer here that my friend and I worked on a video game for like 11 years. I'm no expert in AI, I'm just acutely sensitive to how the realities of the workaday world waste immeasurable potential at scale.

Re: Dall-E 2

#463
post #318

Earlier quoted context omitted.

Most people get stuck where you are. The fastest way possible to explain it is that it will bring rapid and fundamental change. You could say jobs or terminators but focusing on the specifics is a red herring. It will change everything and the probability of a good outcome is minuscule. It’s playing Russian roulette with the whole world except rather that 1/6 for the good, it’s one in trillions for the bad. The worst…

Okay. What do you want me to do about it?

Just know it. Really think deeply about this important issue and try to understand it thoroughly so that you have a chance at converting others. Awareness precedes any preventative initiatives.

Algorithm space is large and guess-checking through it takes a lot of effort even when it’s automated like now. It requires huge amounts of compute. And meaningful progress requires the combined effort of the entire worlds intellectual and compute resources. It sounds implausible at first but this machine learning ecosystem is in fact subject to sanctions. There are extreme but plausible ways of reducing the stream of progress to a trickle. It just requires people to actually wake up to what’s happening.

Re: Dall-E 2

#464
Maybe this will be what finally puts an end to the whole art NFT shenanigans. A piece of art isn't so unique if there are infinite slight variations on the market.

Re: Dall-E 2

#465
post #10

A friend of mine was studying graphic design, but became disillusioned and decided to switch to frontend programming after he graduated. His thesis advisor said he should be cautious, because automation/AI will soon take the jobs of programmers, implying that graphic design is a safer bet in this regard. Looks like his advisor is a few years from being proven horribly wrong.

What people ALWAYS miss is that AI can augment people. This AI is still a tool, and, with it, designers and illustrator can churn out better images faster than before, even without using stock images.

It's important to note that we still need professionals to guarantee the quality of the output from AIs, including this one. As noted in their issue tracker, DALL-E has very specific limitations, but these can be easily solved by employing dedicated professionals, who are trained to tame the AI and properly finish the raw output.

So, if I were running OpenAI, I'll clearly be experimenting with how their AIs and human interact, and build a training program around it for producing practical outputs. (Actually, I work in consumer robotics, and human adoption has been the biggest hurdle here. Thus, my claim here.)

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In case of fine art, thou, I don't think they'll not get hit by this AI advancement. The biggest problem is that you simply can't get the exact image you want wit this AI. Even humans cannot transfer visual information in verbal form without a significant loss of details, thus a loss of quality. It's the same with AI, but, worse, because AI rely on the bias in a specific set of training data, and it never truly understands the human context in it (in the current level of technology).

Re: Dall-E 2

#466

Earlier quoted context omitted.

How do you suppose your CP generator will be trained without using authentic CP images? Not only will that require revictimization but you’ll also be downloading CP to train the model.

Did they need to put possums in space suits to tell Dell-E 2 how to render them?

No, but kid genitalia pictures would need to be provided, right?

Re: Dall-E 2

#467

Something about this makes me nauseous. Perhaps is the fact that soon the market value for creatives is going to fall to a hair about zero for all but the most famous. We will be all the poorer for it when 95% of images you see are AI generated. There will be niches of course but in a few short years it'll be over for a huge swathe of creative professionals who are already struggling. Some of the images also hit me w…

I disagree. I think it will be a lot like how technology has effected music production.

40+ years ago, it was hard to access the equipment necessary to learn music production, so only a small slice of the population was able to learn these skills. And availability made the process take years.

Today, you can download free software that enables music production, and if you have a good ear, can create something "good" in weeks. This has led to an explosion of musical experimentation by the youth: a teenager can now create a great electronic dance song with devices they already own if they have the right creativity, taste and dedication.

Similarly, everyone has an imagination - many people have visual imaginations. The gating factor of art production is largely the mechanical memory of how to transform mental concepts into the right shapes and hues to express that visual concept to others.

With these sorts of tools we are going to have an explosion of art hobbyists. I've played with some similar, more primitive AI art generation tools and it is a lot of fun. People will be creating works of art from their couch while watching TV that rival the quality of what professionals are producing today.

Re: Dall-E 2

#468

Earlier quoted context omitted.

When you combine advanced versions of this with advanced versions of GTP-3 you will not be able to tell the difference between AI and only fans. I'm not saying that AI will pass all Turing tests. But as far as having a virtual girlfriend/prostitute.

> a virtual girlfriend/prostitute I'm not picking on the commenter - by itself it's not a big deal - but look at the assumptions behind that comment, which I almost didn't notice on HN.

what assumptions? That there may be a market for AI girlfriends?

Re: Dall-E 2

#470

Earlier quoted context omitted.

Thought-provoking post, thanks. Especially the part about maybe generating specifically tailored material to "train" folks. Although, while obviously moral instead of immoral like "gay conversion therapy", I wonder if it would be just as ineffective. and would cut down on the motivating factors to produce authentic CP (for which original production is often a requirement to join CP distribution rings). Hmmmmm. Will m…

> Finding and prosecuting the people who make real CP is difficult enough already. let's assume that AI generated CP should be illegal. Does it mean that possession of model that is able to generate such content should also be illegal? If not, then it's easy to just generate content on the fly and do not store anything illegal. But when we make model illegal, then how do you enforce that? Models are versatile enough…

>> Finding and prosecuting the people who >> make real CP is difficult enough already.

> let's assume that AI generated CP should be illegal

Well that's a big assumption, lol. I definitely agree that it would be impossible to enforce, for the reasons you say.

I personally would not be in favor of such a law at all. Partially because it's unenforceable as you say, and partially on principle.

The argument against real CP is extremely clear: we deem it abominable because it harms children. That doesn't apply to computer-generated CP, or the models/tools used to produce it.

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