12/30/2025 at 8:00:27 PM
Ha, I like the site, and enjoyed playing some of the game!So when I saw the "About Me" image, I thought Gen AI - https://cookie.engineer/about/me/teaser.jpg But no LLM used for that? (No judgment, just after seeing that image, and then you declaring no LLM use, I thought I'd ask!)
by neogodless
12/30/2025 at 8:37:17 PM
> But no LLM used for that?Well, I mean, I self-hosted stable diffusion to be able to generate the teaser images and the award images (for the ranks in the Game Over Dialog).
I only implemented the initial SD paper [1] back then so I have no clue whether the u-net architecture changed when it comes to the semantic mapping of the text/labels. Did that change and is Stable Diffusion 3 now an LLM, actually?
by cookiengineer
12/30/2025 at 9:02:43 PM
Sorry, you know this stuff way better than me. I thought "gen AI" that generated visualizations / images used similar code, but as I say Large LANGUAGE Models in my head, I realize it must be something else (at least in name!)Again this should in no way implicate a diminishing of the work and accomplishment of building your site. Just noticing some kind of "AI" (ANI) was used to make an image. Maybe worth clarifying for pedants like me (but probably not worth it ;-)!)
by neogodless
12/31/2025 at 12:24:31 PM
You know, for someone who critiques the "generative AI disease" on his wiki, it's a bit funny to be using generative AI here at all, hm?Instead of kvetching about parent's terminology when you've proven you clearly know what he meant, I suggest the disclaimer:
"No LLMs were used in the making of this website and its content, but self-hosted latent diffusion models were."
by usefulposter
1/1/2026 at 10:37:10 AM
> You know, for someone who critiques the "generative AI disease" on his wiki, it's a bit funny to be using generative AI here at all, hm?> Instead of kvetching about parent's terminology
The point behind knowing how it works vs assuming how it works gives you a difference in understanding and perspective.
I know how it works, because I implemented the papers, and I started way before the current LLM hype. Models like NEAT, HyperNEAT, LSTMs, Bayesian RNNs, GANs, BERT, AutoBERT, AlphaGo are inherently useful if you understand how the model works, what it can do and what it can't. Those tools are great, if you know their purpose and applications.
Post-LLM agents that's a different problem, because a lot of people are assuming it's "AI" that magically does things, while it just hallucinates. So the dangers are higher when it comes to the unawareness of systemic issues and inherent responsibilities of using those tools.
(read also: Attention is all you need, one of the best papers on the topic, even more relevant these days).
PS: I've spent too much effort to comment on a shitposting account already. Anyways, have a great day nonetheless and a Happy New Year!
by cookiengineer
12/30/2025 at 9:02:05 PM
This feels like moving the goal posts.by mmmlinux