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gattsuru


				

				

				
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User ID: 94

gattsuru


				
				
				

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

					

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User ID: 94

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Oddly, she wasn't convicted for yelling at the kid, presumably because the fighting words doctrine would be especially inapt there.

In addition to first-party updates and collabs, I'd hope for good modding support: the game could do a hell of a lot if it attracts some of the ARK and Minecraft modders. The infrastructure isn't there for it in the game yet, though.

I like matcha, but I also like glass jelly and root beer, so some of this might just be a raw different tastes thing. That said, there are some fantastic options for boba; most shops will have mango tea and coconut jelly as an option, and so long as you get it low sugar it's very hard to dislike.

What's the term for "This nonsentient tool that I asked to write a character summary and run a linter just installed python and a venv that I thought I'd blocked it from doing." Because that seems something different from error/loss, and it's something I hit with Pi-agent, a pretty minimal skill harness, and a 26B model.

There was a bit of a bump in the Steam Hardware Survey, but it's held in the 3.5%-4% range, and there's no real breakdown of how and what demographics.

That said, Linus's "linux challenge" this year went from the normal joke where it seemed like he was intentionally trying to fuck things up, to a pretty serious effort where a handful of the people stuck with it at the end, and I have had actual students actually interested in trying it out.

Botched several connections on v0.1 of the educational robot mainboard (thank you Chinese display board for having your FPC pins start with 1 on the right), but got enough to implement the inter-circuit comm UART, negotiation, and watchdog behavior. Next big push is trying to get over-wifi debugging running; it's theoretically plausible and realistically a nightmare with warnings like "don't use the second core of this processor defined by its multicore capability". Got some fixes in, and trying to figure out if I'm willing to deal with tuning my own NFC sub-board before I order v0.2.

Trying to throw together an agentic layout for editing, proof-reading, summarizing, pulling style notes from, and continuing a story. There's a lot of attempts, here, at varying levels of success, but the state of the ecosystems is just absolutely terrifying, and that's the '''good''' stuff rather than OpenClaw. Not just the obvious but hard problems like 'how do we set up permissions and access rules', though it's disappointing that the answer to that is near-universally 'docker' at best. I get the core idea of content-as-code, but holy shit people. Just because you want your LLM to be able to modify your template files doesn't mean they need to sit in the same directory as your output files!

Fair. I'll admit I lost interest in the books pretty early, so probably munging some stuff.

Early anime convention norms were weird: a lot of their institutional genealogy derived from watch parties and the movie equivalent of tailgating. Some of the awkward spots were people taking online mannerisms to reality, but there's also a lot of places where a norm developed organically in smaller and intimate settings, then melted when it went super-Dunbar.

I thought the show played the long-standing incest side up? Or did they only run the 'get caught and shoved kid out window' incident from her adulthood? At least in the books, it's pretty explicit that Jaime and Cersei screwed disturbingly early.

If so, fair, will focus the complaint on Daenerys

Goblin Slayer's fair, but it's a little noncentral. Even stuff like Brand New Animal that screams furry and ended up with a small gooner-focused fandom (6k images on e621) is a lot cleaner as an actual work.

The sexposition in Game of Thrones was gratuitous (and kind of fun sometimes), but at least they were adults.

Cersei Lannister is 15 at the start of the series, and Daenerys Targaryen is 16 or 17. At least it's an improvement over the books: Daenerys is 13 there when she's 'married' to Drago, but still made the feminist crowing pretty awkward back when Season 1 first came out.

Got her PhD in 1999, so my guess would be early-50s to mid-50s.

Some of the weirdness is an aspect of this form of academia having aimed for obscurist focuses, but I think her position is still pretty vapid underneath that.

Yeah. You need a flat or mostly-flat edge a little wider than the rivet head; anything too curved will slip over the rivet, and anything sharp will dig into the surface of the plate instead. And they are much stronger, which matters more with decent quality knives than walmart-grade ones (440j isn't brittle, I'll give it that), but since you're using a knife like a chisel on metal, you want every bit of redundancy you can get.

While there's a few other cases the tantoized shapes make sense (uh, mostly leather or upholstery work?), for most cases I wouldn't recommend it.

Sorry, typo. Removing rivets, generally from joined plates. If you ask a mechanic, the 'right' way to do it involves a properly matched good quality drill bit, but if you have a good knife or even a wood chisel (and don't mind permanently damaging the knife/chisel!) you can get almost all aluminum rivets out with just the heel of your palm, and some steel rivets out with a good hammer.

Most "US" multitools are based around the gerber style, which usually ends up around a 2.5" 'primary' blade. You'll see Swiss Army keychain knives that closer to what you're thinking and are someone common (if considered very much a 'for kids' product, especially Scouting), but the last time I've seen one of the multi-tool-but-tiny versions was well before COVID.

They may be more common on the coasts; New Jersey and Massachusetts have much closer norms around >3 inch knives than the midwest or southwest does.

I realize this is a common cultural difference even within the United States, but there's a lot of relevance, anywhere from opening packages to cutting zip ties to prying out heat-set inserts to breaking open containers to stripping cable to trimming plastic nubs.

My uses are a little more common than most people -- I carry the cheapest tantoized blade possible because I've had to derivit aluminum plate in the field enough that it's a parlor trick -- but still, I work in a field with soft hands.

I try not to carry to public events like a concert, but I'll admit I've had to throw mine away a couple times because I just forgot I had it on me and went to a venue that banned them.

Ah. For Kimi K3 specifically, the weights haven't even been released yet, so it's basically just a (paid) preview mode. The mega-parameter models are also pretty much impossible to tune as an individual or small organization, and even the 200B-1T range is expensive. Model merges in this range mostly haven't worked, to the limited extent they worked cross-family to start with.

Most of the community ecosystems are focused more on the <50B range. Some of the lower visibility is just fragmentation, or the base models being good enough for a lot of purposes, or technical limitations (MoE models are much nicer to low-VRAM users, and also much harder to finetune), but there's just some awkward side effects of the highest-profile models being way outside of home enthusiast use. That said, Qwen3.6 got a massive amount of attention for that lower-range, and I'd expect any 3.8 <100B model gets similar focus.

And a lot of major providers have kinda settled on things as 'good enough'. NovelAI's highest-end model is a GLM-4.6 finetune at 355B param, which is great and all until you look at the release dates.

The movement toward tool use also makes things weird. There's no "here's an opencode project" sharing environment like there is Huggingface or CivitAI, for both obvious reasons (the LLMs can build it themselves... if you know enough to ask them the right questions) and technical ones (opencode has terrible project design and doesn't really distinguish templates from content as an intentional choice). But they do genuinely offer really strong ways to customize an LLM to your use case. So that's probably drawn a bit of the focus away from some of the finetunes.

Some of it's just reaction to the marketing talk: there's a lot of people who haven't run Kimi, or only have run it through OpenRouter, who treat it as Fable equivalent because the benchmarks were good, and a Fable version that can't 'go away' is politically meaningful for the broader open-source movement. Whether they'll actually use it is a separate question.

It does also somewhat reduce the maximum cope levels for anti-AI groups. There's a theory that the 'real' cost of frontier model inference is being subsidized by orders of magnitude, and having the weights makes the upper bound of actual inference costs limited.

A lot of the open model uses aren't something you'll hear about in public. The strongest arguments are for rolling your own inference server are those environments where you can't publish anything, after all. And even if they're only a few steps behind, a lot of 'success' from an open-model is natively less interesting than the 'original' accomplishment from a frontier one, simply because if someone using Kimi K3 to disprove the Jacobian Conjecture literally today it's could plausibly not be independently discovered. Lower-profile stuff like the ThinkingMachines Inkling model put this on the table, but Kimi is at least close to frontier capabilities in ways that Inkling just isn't.

I think the more interesting stuff is happening with the lighter-weight models, stuff in the 100B-250B parameter range. But there's more value than just the dollar/outcome metric.

WINE specifically is in a bit of a 'Caesar's wife must be above reproach' situation: there's a lot of possible futures where Microsoft wants to crush them, they're absolutely critical for mainstream Linux success, and even if they're in the free-and-clear legally, they have to be able to believably tell users that they'll be clear-and-free legally.

There's definitely groups interested in trying to bring copyright lawsuits, including some that have settled, but they're mostly limited to the input side. Getting a hook in on the output side seems naively like it would be rougher, especially given the gimmicks that the authors of that paper have to put in, but something something Musk Cross The Delaware.

It's hard to do a serious analysis, but my gut check is that the mainstream image generators are still doing it, but they're a lot better about keeping it to psuedo-realistic versions. "Man with soldering iron" is a lot more likely to get a black or hispanic guy in addition than the sizable Asian majority in the training data, for one example, but "American civil war troops" is either all white or at least credibly 'might have been very tanned'.

On the 'should', I don't think there's a moral position, but from a pragmatic one, if you've got faceblind people in your audience there are benefits. And if people don't ask, variety means you give them options to ask; if they don't care, they've increased contrast at no cost to their message. At the risk of stepping on my usual soap box, there's some benefits to variety, here: when everyone in the scene is Yet Another Blue Wolf, figuring out who is who across multiple stills or shots is a nightmare.

Flock's strategy specifically revolves around grooming political candidates and running through executive branch work, so there's not a ton you can do on that side short of making their candidate contributions more visible and highlighting some of the company's sketchier spends. Rossman's been doing that a bit, albeit to mixed result, but that's a lot better than most. And destroying the physical cameras is less than useless; in some cases Flock ends up paid twice, but regardless they've got to have a replacement budget, just because building deployed cameras to be resilient is a loser's game.

The more... esoteric versions require looking at past successes, and with the caveat that I'm operating solely from public discussion:

Baltimore has a massive distributed camera and recording system, first in its class, combined with a massive shotspotter deployment, and... it's completely useless, and that's a policy decision. Video isn't stored for long to start with, the camera selection went heavy on PTZs and then set them up in an intentionally unfocused (literally and figuratively) sense, the privacy and compliance training means no one who's actually trying to solve serious crimes can get into the system, a few dozen other problems. Downside: it's only a past-facing decision: making it into the privacy nightmare opponents paint it as is a sub-million USD and sub-year project. But you can't undelete data (in this case). But you're stuck with Baltimore mayors to do it.

Carpenter and progeny, and courts willing to draw it to its most maximal ends. It's an ad-hoc general free-floating right to privacy, it's only really useful for the guilty, even its successful cases have a 'first hit's free' problem, and it's not exactly principled, but it covers any privacy question you want so long as it's nontrivial, and it has some bipartisan support.

Right now, Viramontes is up on the AR-15 and some assault weapon bans, and has been granted cert before this opinion released. Weirdly, the magazine bans are all held, and some age-related cases that have a large and growing circuit split were denied cert. No idea what's going on.

RPG and boardgame publishers are increasingly using AI art – not all of them, but the shoestring operations are, because let's face it, AI is hella cheaper than a human artist...

Yeah, it's starting to show up everywhere that the specifics of the output art don't matter.

And it may not be just the cost driving that: working with or around artists has a lot of other failure states on top of it. However bad the intellectual property concerns for AI artwork are, it's not as likely to literally trace Devil May Cry or Touhou fanart unless you put a lot of effort into making it. It's a lot less likely to show up with the assets three weeks late. And barring mechahitler Grok, you don't have to worry about your imagegen tools ending up the high-profile example of the day on Twitter.

What really bugs me is where people use AI art despite having actual assets that would be more representative and credible. Minecraft modpacks and content creators have heavily bifurbicated between the users and the antis, like everywhere else, but there's further split between people who use it as if it's the only images they have, despite screenshots being more useful and relevant. This might be slop on top of a well-executed traditional trailer video, but then you see stuff where there's just slop the whole way through, as if Ben Garrison was in charge of their marketing.

And soon it will be good enough to fool you almost all the time and human-made art and human-made book covers will be a sort of artisanal craft, where a few very high-end and well known artists make money and everyone else just cranks the AI and shops it.

Eh... I dunno. The gooner market seems like it should be the most maximally able to do it (and, bluntly, having the lowest standards), but it really hasn't gotten there, there. Even if the art can 'fool' you, or be what would be technically impressive for a human to make, that doesn't make it interesting or good in the way that an MSPaint scribble can be. This (artist: pantheggon. cw: f/f, mind control) is the sort of thing that an AI-gen model could easily do, in terms of artwork quality, but it's also notably not the sort of thing anyone's actually done with AI-gen. Even where you let the machine build direction for you, and , .

It may be we end up with more of a muddle, where the higher-value the effort, there more buyers can justify the cost of human intervention, and that ends up a sliding scale of completely AI 'junk' content, intermediate works where there's a lot of human planning and the AI is doing the busywork, and then at the high end stuff that's computer-mediated only in the same sense CGI is.

Right now the main "tell" is verbosity and over-explaining, as well as a certain "tone" that feels like the verbal equivalent of the piss-filter.

That's interesting: the really harsh tell for me is the pacing. You can 'beat' a model into playing a little better toward a specific tone or form of speech pretty easily with an exemplar file or some pretty basic OpenCode setups. With the correct subagent layering, you can kinda get it to switch tones or character voices from one chapter to another. It's really hard to get it to stop treating each subsection as a crescendo of its own, and that gets my hackles up.

I'm not willing to read an AI-generated trilogy, but I've read the first few chapters of some AI generated novels. They are still dreadful. Flat dialog. Pedestrian tropey characters. Spelling out every beat and every emotion. They read like a sophomore who just finished taking a creative writing workshop. But… they're probably better than the average slush pile entry.

Some of that seems downstream of the tools being very incomplete. I'm still finding the most effective option is OpenCode and a handful of custom skills, and it's still not good there so much as indicative that mainstream processes suck, but it points.

Of course, the default-version stuff that sucks is already selling enough to be a concern.

Not long ago gattsuru praised AI for its ability to provide meaningful feedback on his own writing, and I looked at the feedback and thought it was very generic and full of the usual AI glazing and twitches.

(context, probably?)

I'm a little curious, here. I didn't push those sessions very hard on prose quality, since I don't really want to replace my tone with the LLM's form, but a lot of the advice on plot notes, character psychology, and specific actions seemed pretty specific.

Like, I'll admit AO3 has things better left unimagined, but 'your crossdressing female main character hasn't considered all the aftermath of using a men's urinal, then is surprised by a gay guy being uncomfortably close to her' seems like it's not overrepresented in the training data, and it's an important enough scene that I did try throwing a version with intentional errors and the model caught them. The Diogenes/Stoic thing is more mainstream knowledge, but actually drawing the thread through a character who's pretending at self-abnegation and instead undermine his ability to communicate. Or stuff like figuring out whether a bench press is being described correctly, or how well I've extrapolated how different species might adapt to swimming.

They're not always right, especially when 'right' is defined as 'the story I'm trying to tell', but it's a far cry from just throwing 'tighten your prose', 'X character needs more depth' and a dozen em-dashes out.

I agree that they're very prone to positivity and agreement bias ('glazing') and to the standard AI ticks, but if I'm not intending to use the prose from that discussion, that seems pretty easy to overcome. It'd definitely be better if they didn't, and the few times I've gotten genuinely critical analysis has been a lot more rewarding.

The more complete claudemd or OpenCode versions are a lot stronger, especially as the input work increases.

I am not going to replace a human editor with an AI. But I definitely consider an AI to be capable of making a very competent "first pass."

Yeah, they're a lot better as original-level beta readers than final ones. Doubly so for genre works, but even general-audience stuff they're still more capable of saying stuff about what an average (if very broadly-read) human would think, rather than your actual readers.

And here's where I will drop just a little bit of CW here: I can't talk about this, enthusiastically or otherwise, in any of my hobby circles, because the animus against AI is becoming so extreme.

Oof, very much an increasing thing in a lot of circles. Writing, RPGs, video game mod artwork, code discussion. And there's a lot of downstream mess: a number of environments are adding AI-assisted tags, and then you get people who bulk-block everything with it whether they're using it for a few minor pieces or just doing an edit pass, and then you get people who don't use the tags even where their entire project is clearly AI-gen, and then we end up in a situation where users who are legitimately trying are invisible to anti-AI people and the spammers are all that get through the gaps.

And then the loudest advocates tend to be Asmongold or Shad-likes, regardless of their volume, because the obnoxious ones get the most publicity and repetition

I am extremely skeptical of this model. Every single person I've seen try to use Fleet Phospho-Soda had been permanently marred, both by its own taste and anything else they ate near that time, and that's two exposures and a single very bad day.

I have never played it and am not planning on it, because I am a snob, but from what I have gathered, it's like the anime girl version of Depression Quest.

Not quite. It's a visual novel, but it's a lot more game-side of visual novels (failure modes, bad ends, some basic minigames, a meta bit where using out-of-game contexts matters). I won't pretend it's some great and mechanically deep game, but it's not the schlock that DQ was.

And in terms of story, it's favored among the tumblrite set because it's a metaphor for mental illness, but only one (short-lived) character is specifically depressed. The rest are more psychotic, and the actual narrative for them is much more externally driven as to why they're going increasingly nuts. Will admit there's a very self-referential deconstructive bit, though it's less gooner or anti-gooner and more Undertale-like as a comment about video games in general.

If you want a plot synopsis, the Random Encounters song covers it in less than five minutes (and is very catchy).

I... didn't play every route (again, not a great game, I'm not in its target audience), but I don't remember seeing that quote, and it'd be a little weird in-context -- especially in the middle of the game, the surviving girls are definitely not just the cute bits floating around dereferenced.

I'm also not sure those are official updates. DDLC had a big redraw thing (that got some controversy) in the COVID era, and some pretty slop ports, but I'm not seeing any talk on their reddit about anything new coming down or any new hires. I didn't think there was much left for them to do; the paid version already had some goofy 'explained too much about the setting' content thrown in as a 'secret'.

I agree that it's weird art, even by the modern standards (or even old Excel Saga standards).