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gattsuru


				

				

				
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joined 2022 September 04 19:16:04 UTC
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User ID: 94

gattsuru


				
				
				

				
13 followers   follows 0 users   joined 2022 September 04 19:16:04 UTC

					

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User ID: 94

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Physical-work side, I got to do some siding repairs. That's been a !!fun!! way to spend the holiday break.

Software-side, trying to look into the state of modern sorting-assist tools. You'd think, will all of the advances in AI tech, classifying files and sorting them would be a solved or near-solved problem. Microsoft's "agentic AI" concept drives me up the wall for a wide variety of reasons, but this seems like one of the main killer use cases. If you've ever worked tech support for either Gen Y/Z or Boomers, seeing a Downloads or Documents folder with so many loose files that it causes an SSD to slow to a crawl is a pretty common experience, and they can't find shit (or, worse, can find ImportantDocument_final_last_(1)autorecover\current.docx, for now).

So I've been trying to come up with and evaluating possible solutions to this sorta thing.

  • Zero-shot classifiers like CLIP are well-established and everyone's favorite option (eg Immich, the Bellingcat sorter if you trust them, which I don't). Trivially easy to implement in python... badly. You're effectively trying to compare one caption against another in embedding space, and there's no guarantee (and a lot of anti-guarantees) that just because two words close to each other in meaning will have any proximity. And they're pretty limited in domain; many can't compare between pptx and a png period, and those that can do so with basically zero accuracy.
  • Few- and many-shot classifiers CNNs are also well-established and trivially easy to code for a single domain... but only if you know the categories you want before hand, and have somewhere between five and five hundred examples. Even outside of the training cost, that's another thing that's a great tool for a tiny number of uses. Vision transformers have the same problem except more so; I needed close to fifteen hundred pre-classified input files. And really messy to go from one domain to another.
  • Text-only LLMs operating based on file names already have fully-developed solutions. If anyone has a use case where people name their files but don't put them in folders, I guess that'd work for all three of them on the planet?
  • Multimodal LLMs are kinda there. You can just load up GLM4.6V (-flash), throw a supported file on the input, and ask it to put the file into one of several categories. It'll burn a stupid amount of tokens if the interaction between those categories is particularly weird, or if none of the categorizes make sense for a given input, but it's not too hard to handle a decently wide subset of image-or-document files on the input side, and natural human language for categorization. Problem's that you get LLM text as the output. You can try to force the LLM to keep the answer as concise and as limited to a category as you want, but there's nothing stopping it from spitting out parts or all of your categories when describing the one matching one, even in well-constrained environments.

That's on top of other issues specific to implementations: a lot of ViTs and multimodal LLMs depend heavily on breaking, while a lot of classifiers get really stupid if you have wildly different resolution inputs, multimodal LLMs can't distinguish between prompt and content, yada yada.

On the flip side, closely related topics are nearly >98% solved off the shelf, even ones that I'd consider a lot harder.

  • GLM4.6V can convert a short comic from visual medium into prose, with all the complexity that implies. Doesn't matter if a character's name is introduced several pages after they first show up, or they have aliases, or if two characters look similar but only show up in different contexts, or if you've got stuff that's clearly outside of the likely training data. I can give examples that confuse it, but they're problems like 'did it read where speech bubbles were pointing correctly' or 'can it read these abstract shapes'? And that's something with so useless a business case that I can't believe they made much synthetic data for it.
  • Give me code corresponding to a given layout (or pencil sketch of a layout)? That's trivial to build synthetic data and has a clear business case, but XAML sucks, and GLM4.6V-flash is just fine with basic use cases.
  • It's hard to overstate exactly how far categorization has gotten in single clear domains; if you only need to handle images, or only text, you're in great situations. I built a YOLO-based model from scratch for ten categories, it took less than six hours to train on a graphics card from 2018, 1k input images, >85% accuracy. Twelve years ago, that's a pipe dream for a doctoral program; today, it's a sign that I fucked up somewhere, and I need to consider between more epochs and switching some parameters around.

It's not surprising that porn-for-(non-autogynophilic)-men avoids seeing what the inside of a woman's head feels like. It is kinda weird from a bi guy perspective how much straight-for-guy's-eyes porn focuses on the man or men, and how little is focused on something really prioritizing women qua woman. I would expect places like I Feel Myself to be a genre, but they really don't look like it.

I doubt it would help a lot even if it existed -- there's a lot of variation from one person to another, as a lot of same-sex couples have found out for better or worse -- but still strange.

For current-gen games, you're looking at protonDB. Yes, it's officially meant for Steam, but if you don't want to run it and add them as a non-Steam game, you can easily access the underlying tools using Lutris or Heroic Game Launcher. Lutris tends to be better, in my experience, for legally-owned-backups. Compatibility is good-but-not-perfect -- almost anything mainstream enough to sell through Steam in the last ten years is getting looked at, but marginal games under that bar might not, and a lot of the very popular multiplayer games with anti-cheat have trouble or just won't work.

Older stuff and more marginal games can be rougher. DOSBox works and exists, and there are linux-friendly ports (or native builds) of almost every past-gen console, though quality and performance varies on the PS3+ era. Go really far into the indies and it can be a mess, with some games having Linux-native builds despite being built around an ecosystem that absolutely loathes it, and others only coming up to functionality after a decade of attempted ports and then some random fix in photon-ge solved it.

Yeah, there's a lot of romance in the idea of so carefully reading your partner's microexpressions that you can tell exactly how they want things or how things are working at a given time, but in the real world it's something you actually have to use your words to get done properly.

Perhaps. There's a really awkward question about whether he knew, or suspected, or just was in a sufficiently target-rich environment that any finger-pointing would hit a fraudster.

... kinda?

You have to go pretty far before any woman is going to use 'beanflicker novel' or even 'it's erotica', but Reddit's /r/romancebook has a first page with Kink and Sex Acts Megathread - Knotting, FMC and MMC has something erotic happen in front of them and it makes them both “snap”, and Mmc fucks fmc thinking she is his girlfriend. I'm not an absolute expert in the field, but even the M/M stuff is written for and often by women's consumption, and about the point where the protagonist secretly begins taking contraceptives so the fuckening can continue, there's not a lot of fig leaf.

(To be clear, I'm not judging, here! ... well, except in the giving some of the books individual ratings, and considering if I want to drop some furry names in the megathread.)

Yes, there's still some stigma about this stuff: a woman reading Morning Glory Milking Farm (cw: not-great romance art, incredibly heavy-handed innuendo in picture, the book is bizarrely vanilla) on the train is going to get similar looks as a guy leafing through the original edition Savant and Sorcerer (cw: woman in swimsuit-level-nudity). But you're not going to see a Fifty Shades of Gray For Men make the front pages, nor will some random male-focused shipper fanfic smutty fanfic get a full film. Even the for-gay-guys equivalents are a lot more heavily policed: there's no Magic Mike-but-actually-gay.

Most people talk about it through euphemism in wildly public spaces; spice, heat, the citrus scale, so on. But they're still pretty overt about it, with over half of this book list having explicit smutty sex scenes (3 'pepper' or higher). Maybe that's less of a deal because it's a mostly written environment. But it's not something that's hard to spot.

I'm more skeptical that this is bad. I've made and will continue to make the argument that even pretty kinky or genre-focused smutty or smut-adjacent works can have broader meaning or allow deeper insight, and that even works that are just read for gratification are fine whether they're smut or milsci-fi (even if gustibus non disputandum meets some discomfort with WH40k books). But it's a thing, and the difference in expectations by gender is a thing.