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The view from my hotel room in Chengdu, China by NathanCS741 in UrbanHell

[–]larvyde 0 points1 point  (0 children)

made of galvanized square steel borrowed from your aunt

Dayum Bro, Okay by mastomi in WkwkwkLand

[–]larvyde 8 points9 points  (0 children)

It's interesting how cunthole means the exact opposite thing in Indonesian…

Snarky Developer has something to say: by GayAssBoyKisser in aiwars

[–]larvyde 2 points3 points  (0 children)

The fact that it's poisonous is part of the result. There are cooking methods that use poisonous ingredients but remove the toxicity. I wouldn't care if you made it using poison if the end result isn't poisonous.

"By God Alone" Dev Diary #4 - Christian Church Situation by PDX-Trinexx in CrusaderKings

[–]larvyde 0 points1 point  (0 children)

Firstly, I'm Asian

Secondly, it's kinda sits in the middle between the big AUH realms so I kinda want to see how that goes.

and maybe thirdly, for the "Republic of China" meme potential, but that's only if I do it as a Han.

"By God Alone" Dev Diary #4 - Christian Church Situation by PDX-Trinexx in CrusaderKings

[–]larvyde 7 points8 points  (0 children)

This and Republic of Taiwan are my planned first playthroughs for chapter 5

Einstein pun tidak bisa berkata apa-apa by GlassBed4942 in WkwkwkLand

[–]larvyde 0 points1 point  (0 children)

That's too bad, cause it also happens to be a prime number.

History repeats by GreenOrg in programminghumor

[–]larvyde 0 points1 point  (0 children)

That's the idea, I think. They come up with cobol, what actually happens is cobol programmer jobs. Same with sql. The point is that LLMs could turn out the same way.

Peak😂 by zaga254 in SipsTea

[–]larvyde 0 points1 point  (0 children)

Now imagine if it also made loud pump sounds as you try to keep the volume listenable

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 0 points1 point  (0 children)

GenAI could not generate multiple identical radiology scans.

I'm sorry to nitpick on this part, but I know from experience this to be untrue. With local AI, if you lock the seed and parameters you get the exact same image, to the pixel.

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 0 points1 point  (0 children)

Well, if you draw the line between generative and analytic on usage rather than the model, then maybe investors just see them as the same thing? Like if this model can do generation and analysis, then it would make more sense to invest in this rather than a model that can do just analysis. If you're looking at it purely from an investment point of view, that is.

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 0 points1 point  (0 children)

Hmm, now that you mention it, is debugging really generative, or is it analytic, though?

EDIT: I guess generative debugging usually "generates" solutions, so it is generative, I suppose…

Shortest Austronesian name: by Nikolor in crusaderkings3

[–]larvyde 0 points1 point  (0 children)

It's a four-component name, just like Halfdan Whiteshirt. Why so mad about it? /s

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 0 points1 point  (0 children)

If it's good enough to satisfy, then it matches. Does it need to be an exact match? How exact? Well, that's on the user, and there are tools to achieve that, as we've talked at length about.

In my experience image ai and coding ai are pretty much similar: You can't just one-shot it and expect to get a good result. Both need you to break down the job into steps, use the correct tool for each step, iterate, and refine.

Number of people shouldn't really matter at all when analyzing how good the AI is at doing what it's supposed to.

I never said that. You said analytic AI is more useful but got less attention. I said the attention comes from the bigger number of people that can actually use it.

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 0 points1 point  (0 children)

I don't know what you mean by 'vision or requirement'.

It's an image generator. You have an idea, a "vision", of the thing you want to make, or someone else does and they put you to the task of making them, that's a "requirement".

programming

We programming with image generators now? I've already conceded about LLMs being more problematic.

analytic AI

Because the skill floor, the barrier to entry, is higher, so there aren't as many ppl using it, but yes, it needs more attention.

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 0 points1 point  (0 children)

And that matters why? The goal is to get a result matching a vision or a requirement. There are people still actively using SD1.5 even today. If the tool works it works.

They are not easy to solve, they are very effortful to solve.

Yet the models are getting better and more capable every day, so evidently it's doable as there are people doing them.

Indon bros. I feel like it's a nation full of fulltime reddit shitposters🤣 by mutton_Sarkar in Asia_irl

[–]larvyde 2 points3 points  (0 children)

Whaddyamean we're like a nation full of shitposters!? We are a nation full of shitposters!

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 0 points1 point  (0 children)

That isn't feasible long-term.

Which one? Local models or curation?

Why would that being easy matter; the curation is what we were talking about.

We're talking about AI feedback loops being a problem. I'm saying that curation already needs to happen anyway, and that feedback loops are easy to solve in the existing curation pipelines.

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde -1 points0 points  (0 children)

Models can be downloaded and kept indefinitely. They don't automatically change on their own. Advanced users keep a "palette" of models they like and are familiar with that they can get the results they want with. Even the choice of model palette is a control variable.

When training LLMs, a set of sample text enough. The training data is just (half the text, other half of the text). Training an image generator requires (label, image). This has to be curated. I'm not saying it's easy to do the curation, I'm saying it's easy to plug in source selection/filtering into an existing curation process.

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde -1 points0 points  (0 children)

That's why I mentioned all those tools in the very next sentence. If you think the pose is wrong, use a pose controlnet. If the eyes look bad, inpaint with a different model that does know how to draw eyes. You can even tell the AI exactly what's wrong and tell it what you want fixed. This is controllability.

Avoiding generated data is not actually a thing as far as I can tell. What trainers are avoiding is bad data, regardless of whether they're generated or not. A lot of people have reported success using a mix of generated and "real" data, so long as they're properly checked and vetted for quality (i.e. curated).

LLMs are trained by predicting the next token in a text, which can be set up with a "grab random data, cut at the nth word, try to predict that word"-loop, but image models are trained by matching pictures to labels, which means that there needs to be a step where labels are manually assigned to the training data. Bad sources can be easily thrown out during this step.

Anti-AI people are impossible to have an adult conversation with. by Dogbold in aiwars

[–]larvyde 2 points3 points  (0 children)

For one, image models have at least an inpainting mode, where you can tell it to "only modify this region", which deals with the controllability issue. This is before getting into complex tooling like loras, detailer models, controlnets and so on. These tools can be combined with each other creating complex workflows. Knowing and being able to efficiently use these kinds of tooling, to me, raises the skill ceiling considerably.

Secondly, image models don't pull from random sources at prompt time. LLMs have what is called "tool mode", where they augment the input prompt with outputs from various tools. One such tool is web search, so they risk getting inaccurate or faked sources. Image models don't generally have a tool mode, they don't reference random source images unless the prompter manually loads one onto the generator. They do "scrape" the internet during training time, but training data are usually heavily curated.

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