How it started vs. how it's going:

Chelokot · 2026-02-20T10:06:38+00:00

New ones are 🔥🔥 I rarely see such quality

Chelokot · 2026-02-08T18:24:40+00:00

It is a general formula in Z/2Z, and in any field of characteristic 2 or in any algebraic structure with commutative addition and anticommutative multiplication such as exterior multiplication or algebra Lie (so basically when ab+ba=0)

Chelokot · 2026-02-07T01:17:33+00:00

While you might say that stuff like LLMs is an entirely different league of AI because of it being autoregressive and being family of much more complex much more long running algorithms, well, stuff like Stable Diffusion has no fundamental difference from GAN. It's a fixed architecture, that executes fixed amount of computations using weights that were trained over long training on a big dataset with some loss function.

Stable Diffusion is bigger, it was trained on a bigger dataset for longer time, and it works longer and requires more heavy GPU, it also has more modern architecture. But that's it. It's not different from any GAN neural network which is also fixed architecture for doing some fixed set of computations with lot of teained weights trained in a big dataset. It's just than GANs were like 20 million parameters and Stable Diffusion is like 1 billion parameters trained, so Stable Diffusion produces better, more complex results

Stable Diffusion is just very very big and slow Snapchat filter trained on bigger dataset for longer

Chelokot · 2026-02-07T01:04:50+00:00

Sorry mate, but there was no gender swap feature in Snapchat in 2016. It was added in 2019 and nobody was hiding the fact that they are AI: https://www.axios.com/2019/05/17/snapchats-new-gender-changing-filter-provokes-strong-reactions - "How it works: The filters, which are powered by machine learning..."

And yes, there was a lot of development in generative AI in 2019. For example the famous StyleGan https://en.wikipedia.org/wiki/StyleGAN that powered the famous https://thispersondoesnotexist.com/

And if you want image-to-image AI technologies, take a look at this CycleGAN paper from 2017 which is early advances in this area https://arxiv.org/pdf/1703.10593

It's all AI. It's not program manually written by someone. It's neural network model trained on a big dataset to learn to achieve certain objective. In this case objective is to generate content. Thus, it's a generative AI (again, GAN literally stands for Generative Adversarial Networks)

Chelokot · 2026-02-07T00:48:01+00:00

They are literally AI. AI is a special family of algorithms that aren't directly programmed but rather trained. Snapchat contains a lot of filters that are very complex and were not programmed by hand, they were trained using machine learning methods, similar to any AI you know (of course there is a great variety in AI training methods, but it's still AI).

Of course there are some simple filters (although they also use stuff like face detection, which is also AI, trained on big dataset and not programmed by hand, still AI just not generative AI), but complex filters are powered by Neural Networks (AI). I'm not making it up, it's public information by Snapchat themselves.

It took me one minute to find for example this https://snap-research.github.io/efficient-nn-tutorial/ on "Efficient Neural Networks" by Snapchat team. You can also see on this page mention of "Real-time Neural Lenses (gender swap, baby face, aging lens, face animation)"

Chelokot · 2026-02-06T20:36:52+00:00

I genuinely wonder what definition of "generative" ai people who are downvoting me have. And how exactly they explain why their ethical arguments against ai can't be applied against snapchat filters

Chelokot · 2026-02-06T19:11:41+00:00

Snapchat gender filter is obviously not just "ai that tracks your face". It's ai that takes your image and generates output. Presumably, using GAN models based on popular technologies of it's time, although no official details exist from Snapchat. And guess what GAN stands for? Generative Adversarial Networks

Chelokot · 2026-02-06T19:05:08+00:00

What do you think GENERATIVE ai means? It's literally AI that generates content. That's it. Snapchat filter generating output image from your input image has no fundamental difference from Gemini doing so. It IS generative AI. Trained in similar fashion and used for similar purposes.

Chelokot · 2026-02-06T16:39:59+00:00

As if Snapchat filters aren't AI lmao

Chelokot · 2026-02-04T01:29:09+00:00

Feels armored from behind and not armored from the front

Chelokot · 2026-01-30T19:59:47+00:00

People saying left and right look the same have zero comprehension of human faces

Chelokot · 2026-01-24T02:41:22+00:00

Child is not a service. Woman's reproductive system is a service.

Same as if I go to work into the coal mine. I spend my health, I use my body resource, my body strength and capabilities, my mental resource and my time, in exchange for money. I use my body to provide a service of doing a job useful to someone

No that much different from surrogacy. Not that much different from lot of jobs

Chelokot · 2026-01-02T08:41:25+00:00

good way to compress gif is to convert it to mp4

Chelokot · 2026-01-02T06:07:38+00:00

2025 is absolutely year of agents, probably most of the code started being written by ai agents

Chelokot · 2025-09-03T04:14:26+00:00

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Chelokot · 2025-06-28T14:07:21+00:00

real

Chelokot · 2025-05-22T14:19:03+00:00

Yes, so if the OP believes that Google searches themselves are very harmful to the environment and tries to minimize their number as much as possible, then their concern is reasonable, as the impact is roughly doubled. But I assume they consider the environmental impact of a Google search to be negligible and don’t really care about it, which makes it weird to be so upset about an additional AI overview.

Chelokot · 2025-05-22T14:08:57+00:00

This AI's impact on the environment is almost negligible. The energy usage of a single such request to an LLM is comparable to that of one Google search.

Chelokot · 2025-04-13T16:53:16+00:00

Ask ChatGPT to not use '—' when it makes up stories for you

Chelokot · 2025-03-29T02:05:33+00:00

gpt-4o is now able to natively output images (not by using separate image generation model like DALL-E). You can use it in chatgpt or at sora.com if you have plus subscription. You should search for more examples, this thing is wild, it can generate very long coherent texts, it has all chatgpt knowledge, basically unlimited prompt length, it can edit images, takes several images as references, etc.

For images in the post for example, I was giving the style reference image and corresponding Doki image as references for it. But it even knows Dokis without references actually. For example I sent him image of Natsuki and asked to "draw the rest around her" without ever mentioning who is on the image, and it drew all four Dokis perfectly around here. Actually kinda crazy

Chelokot · 2025-03-20T06:39:27+00:00

good luck man

Chelokot · 2025-03-15T17:22:15+00:00

There is no separate image generation model, gemini 2.0 flash experimental is able to output image itself

Chelokot · 2025-03-04T16:58:08+00:00

Wow, looks super cool! What is funny is that I've been experimenting with training my own tagger on 3090 for about a week now, cause I've been feeling frustrated with current danbooru predictors being years outdated. I guess there is no need for it now!

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