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tal

@tal@lemmy.today

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tal,
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DePape, according to prosecutors, was driven by conspiracy theories and had plans to tie the former speaker up and break her kneecaps if she lied to him.

How was an inflatable unicorn costume involved?

In prior testimony, DePape told the jury he planned to wear an inflatable unicorn costume and upload his interrogation of Speaker Pelosi online.

Well, that sounds kind of grotesque.

Kind of stands out to me more than the Canadian bit.

tal,
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I mean, if the Threadiverse has enough volume to be useful, someone – probably many people – are going to be logging and training things off it too.

tal,
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Why would the USB electronics be particularly likely to fail relative to other electronics on the drive?

Evil has awakened [Midjourney] (sh.itjust.works)

Prompt: EGA pixel drawing, of a medieval wanderer standing on a wooded hill, in the background below can be seen rolling forest hills with a wizard’s tower in the distance, a fierce vertical pillar of evil green energy erupts from the tower and pierces the cloudy night’s sky, causing stark contrast with the peaceful...

tal,
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EGA

Oh, that’s a neat idea as a prompt term, using specific display classes.

tal,
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It will have the potency of a god, and the knowledge of 4Chan.

tal, (edited )
@tal@lemmy.today avatar

I couldn’t name most rappers, even popular ones. Just not an interest for me. If you’d given me his name without context, I wouldn’t have known what he does.

tal, (edited )
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I mean, it’s not age. I just don’t follow celebrity news or listen to rap. I could name maybe three rappers. Don’t listen to country music, could name maybe one performer there. Couldn’t name any Indian music performers, to pick a random genre. Or K-pop. Or folk music.

I might have a better shot at some rock or electronica musicians, at least band names, but I couldn’t tell you anything about their personal lives.

EDIT: Well, I guess…let’s see now. Elvis, Michael Jackson, Kurt Cobain, guess I could rattle off that they had untimely deaths that drug use contributed to. Elvis gained a lot of weight, Jackson had serious issues from plastic surgery. Picked that up from retrospectives or obituaries at or after their deaths, though. Beethoven was deaf.

I couldn’t tell you anything about the lives of celebrity professional sports figures either, though I know that there were many dramas that made the sports news over the years and I’m sure that there were no shortage of people who did follow them.

tal,
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Milk is absolutely disgusting during a meal since it gets so warm and gross

Historically, milk was generally consumed warm. Breasts aren’t kegerators.

tal, (edited )
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Might also depend on where you are. I understand that in Finland, it’s extremely common to drink milk all the time, whereas in East Asia, where adult lactose intolerance is the norm, adult milk consumption isn’t really a thing at all.

googles

en.wikipedia.org/…/List_of_countries_by_milk_cons…

Yeah, Finland’s #1.

tal,
@tal@lemmy.today avatar

I don’t think I’d really like giving up my present diet for the one that my hunter-gatherer ancestors were required by circumstance to eat.

tal, (edited )
@tal@lemmy.today avatar

Does fire destroy rations?

It doesn’t destroy, say, chargrilled meat, so I assume that it doesn’t destroy rations.

If not, the problem is just tripping the trap without being hurt, and you can do that by taking off your armor or weapon or something and throwing it at the trap from a distance to trigger it.

tal,
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Ah, gotcha, thanks. Wasn’t aware that the explosion itself had an effect.

tal, (edited )
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there’s some stuff image generating AI just can’t do yet

There’s a lot.

Some of it doesn’t matter for certain things. And some of it you can work around. But try creating something like a graphic novel with Stable Diffusion, and you’re going to quickly run into difficulties. You probably want to display a consistent character from different angles – that’s pretty important. That’s not something that a fundamentally 2D-based generative AI can do well.

On the other hand, there’s also stuff that Stable Diffusion can do better than a human – it can very quickly and effectively emulate a lot of styles, if given a sufficient corpus to look at. I spent a while reading research papers on simulating watercolors, years back. Specialized software could do a kind of so-so job. Stable Diffusion wasn’t even built for that, and with a general-purpose model, also not specialized for that, it already can turn out stuff that looks rather more-impressive than those dedicated software packages.

tal, (edited )
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I think creating a lora for your character would help in that case.

A LORA is good for replicating a style, where there’s existing stuff, helps add training data for a particular subject. There are problems that existing generative AIs smack into that that’s good at fixing. But it’s not a cure-all for all limitations of such systems. The problem I’m referring to is kinda fundamental to how the system works today – it’s not a lack of training data, but simply how the system deals with the world.

The problem is that the LLM-based systems today think of the world as a series of largely-decoupled 2D images, linked only by keywords. A human artist thinks of the world as 3D, can visualize something – maybe using a model to help with perspective – and then render it.

So, okay. If you want to create a facial portrait of a kinda novel character, that’s something that you can do pretty well with AI-based generators.

But now try and render that character you just created from ten different angles, in unique scenes. That’s something that a human is pretty good at. Here’s a page from a Spiderman comic:

https://spiderfan.org/images/title/comics/spiderman_amazing/031/18.jpg

spiderfan.org/images/title/comics/…/18.jpg

Like, try reproducing that page in Stable Diffusion, with the same views. Even if you can eventually get something even remotely approximating that, a human, traditional comic artist is going to be a lot faster at it than someone sitting in front of a Stable Diffusion box.

Is it possible to make some form of art generator that can do that? Yeah, maybe. But it’s going to have to have a much more-sophisticated “mental” model of the world, a 3D one, and have solid 3D computer vision to be able to reduce scenes in its training corpus to 3D. And while people are working on it, that has its own extensive set of problems. Look at your training set. The human artist slightly stylized stuff or made errors that human viewers can ignore pretty easily, but a computer vision model that doesn’t work exactly like human vision and the computer vision system might go into conniptions over. For example, look at the fifth panel there. The artist screwed up – the ship slightly overlaps the dock, right above the “THWIP”. A human viewer probably wouldn’t notice or care. But if you have some kind of computer vision system that looks for line intersections to determine relative 3d positioning – something that we do ourselves, and is common in computer vision – it can very easily look at that image and have no idea what the hell is going on there. Or to give another example, the ship’s hull isn’t the same shape from panel to panel. In panel 4, the curvature goes one way; in panel 5, the other way. Say I’m a computer vision system trying to deal with that. Is what’s going on there that there ship is a sort of amorphous thing that is changing shape from frame to frame? Is it important for the shape to change, to create a stylized effect, or is it just the artist doing a good job of identifying what the matters to a human viewer and half-assing what doesn’t matter? Does this show two Spidermen in different dimensions, alternating views? Are the views from different characters, who have intentional vision distortions? I mean, understanding what’s going on there entails identifying that something is a ship, knowing that ships don’t change shape, having some idea of what is important to a human viewer in the image, knowing from context that there’s one Spiderman, in one dimension, etc. The viewer and the artist can do it, because the viewer and the artist know about ships in the real world – the artist can effectively communicate an idea to the viewer because they not only have hardware that processes the thing similarly, but also have a lot of real-world context in common that the LLM-based AI doesn’t have.

The proportions aren’t exactly consistent from frame to frame, don’t perfectly reflect reality, and might be more effective at conveying movement or whatever than an actual rendering of a 3d model would be. That works for human viewers. And existing 2D systems can kind of dodge the problem (as long as they’re willing to live with the limitations that intrinsically come with a 2D model) because they’re looking at a bunch of already-stylized images, so can make similar-looking images stylized in the same way. But now imagine that they’re trying to take stylized images, then reduce them into a coherent 3D world, then learn to re-apply stylization. That may involve creating not just a 3D model, but enough understanding of the objects in that world to understand what stylization is reasonable to create a given emotional effect and be reasonable to a human, and when. People may not care that that ship is doing some impossible geometry, but might care a whole lot about the numbers of limbs that Spiderman has. Is it technically possible to make such a system? Probably. But is it a minor effort to get there from here? No, probably not. You’re going to have to make a system that works wildly differently from the way that the existing systems do. That’s even though what you’re trying to do might seem small from the standpoint of a human observer – just being able to get arbitrary camera angles of the image being rendered.

The existing generative AIs don’t work all that much the way a human does. If you think of them as a “human” in a box, that means that there are some things that they’re gonna be pretty impressively good at that a human isn’t, but also some things that a human is pretty good at that they’re staggeringly godawful at. Some of those things that look minor (or even major) to a human viewer can be worked around with relatively-few changes, or straightforward, mechanical changes. But some of those things that look simple to a human viewer to fix – because they would be for a human artist, like “just draw the same thing from another angle” – are really, really hard to improve on.

tal, (edited )
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On the other hand, there are things that a human artist is utterly awful at, that LLM-based generative AIs are amazing at. I mentioned that LLMs are great at producing works in a given style, can switch up virtually effortlessly. I’m gonna do a couple Spiderman renditions in different styles, takes about ten seconds a pop on my system:

Spiderman as done by Neal Adams:

https://lemmy.today/pictrs/image/1bed8ef6-b5f8-46af-a051-23f57318bbb8.png

Spiderman as done by Alex Toth:

https://lemmy.today/pictrs/image/9e27afc1-7c5e-4afc-9062-f65f79ab0cda.png

Spiderman in a noir style done by Darwyn Cooke:

https://lemmy.today/pictrs/image/299e3f6c-2645-42cf-95a9-2dc11d973d15.png

Spiderman as done by Roy Lichtenstein:

https://lemmy.today/pictrs/image/a0df29a9-19ed-4beb-9a10-078496424493.png

Spiderman as painted by early-19th-century American landscape artist J. M. W. Turner:

https://lemmy.today/pictrs/image/605bed61-d603-40d6-9eb7-e63e93100aac.png

And yes, I know, fingers, but I’m not generating a huge batch to try to get an ideal image, just doing a quick run to illustrate the point.

Note that none of the above were actually Spiderman artists, other than Adams, and that briefly.

That’s something that’s really hard for a human to do, given how a human works, because for a human, the style is a function of the workflow and a whole collection of techniques used to arrive at the final image. Stable Diffusion doesn’t care about techniques, how the image got the way it is – it only looks at the output of those workflows in its training corpus. So for Stable Diffusion, creating an image in a variety of styles or mediums – even ones that are normally very time-consuming to work in – is easy as pie, whereas for a single human artist, it’d be very difficult.

I think that that particular aspect is what gets a lot of artists concerned. Because it’s (relatively) difficult for humans to replicate artistic styles, artists have treated their “style” as something of their stock-in-trade, where they can sell someone the ability to have a work in their particular style resulting from their particular workflow and techniques that they’ve developed. Something for which switching up styles is little-to-no barrier, like LLM-based generative AIs, upends that business model.

Both of those are things that a human viewer might want. I might want to say “take that image, but do it in watercolor” or “make that image look more like style X, blend those two styles”. LLMs are great at that. But I equally might want to say “show this scene from another angle with the characters doing something else”, and that’s something that human artists are great at.

tal, (edited )
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Well, on my subscriptions list, I’ve got:

3D printing: !3dprinting

AI-generated images: !imageai

PC Building: !buildapc

Home Automation: !homeautomation

Searching lemmyverse.net’s community search for “maker” turns up a fair number of hits that might be interesting to you:

lemmyverse.net/communities?query=maker

tal, (edited )
@tal@lemmy.today avatar

I’d call it a “hoodie”.

en.wikipedia.org/wiki/Hoodie

A hoodie (in some cases spelled hoody[1] and alternatively known as a hooded garment)[2] is a type of sweatshirt[1] with a hood that partially or fully covers the wearer’s head or face.

Wikipedia says that the zipper can be a defining characteristic:

en.wikipedia.org/wiki/Jacket

List of jackets

  • Hoodie, a zippered hooded sweatshirt (non zippered can be considered a sweatshirt only)
tal, (edited )
@tal@lemmy.today avatar

Sounds like it!

www.oed.com/dictionary/sweatshirt_n?tl=true

The earliest known use of the noun sweatshirt is in the 1920s.

OED’s earliest evidence for sweatshirt is from 1929, in Sears, Roebuck Catalogue.

EDIT: I never really thought about the word until now, realized that it’s a portmanteau of “sweater” and “shirt”.

tal, (edited )
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I’m pretty sure that there are some active gopher servers, and I assume that something is indexing them.

googles

Yeah, still there. Here’s a Web gateway if you don’t have a gopher client.

gopher.floodgap.com/gopher/gw

It looks like they have “Veronica-2” running.

gopher.floodgap.com/gopher/gw?=gopher.floodgap.co…

It seems to still be indexing and returning search results for gopherspace. Here’s a search for “linux”:

gopher.floodgap.com/gopher/gw?ss=gopher%3A%2F%2Fg…

EDIT: It looks like SDF is running one of said active gopher servers. I’ve noticed them also running one of the lemmy instances.

EDIT2: I just fired up cool-retro-term and a gopher client. Brings back VT220 memories:

https://lemmy.today/pictrs/image/f2176e91-065e-493e-9011-5129ccd74832.png

lemmy.today/…/f2176e91-065e-493e-9011-5129ccd7483…

EDIT2: Heh, I suppose it looks a little goofy in 16:9 aspect ratio rather than 4:3.

tal, (edited )
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Jughead is apparently still around too, and the source is up on Savannah, just been renamed to “jugtail” to avoid potential trademark issues. Dunno if anyone’s actually running any instances, though.

tal,
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who I’ve seen in a few other movies typecast as a low-ranking soldier or officer of some kind

Can you remember any of the other movie titles? That’d narrow it down.

tal,
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Congrats!

tal,
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It was The Destruction of Laputa from Castle in the Sky.

Edit: Or it was Sora from Escaflowne.

The Destruction Of Laputa

Sora

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