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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)S
Posts
3
Comments
302
Joined
1 yr. ago

  • I've heard "loops" will burn a lot of tokens. Haven't tried it myself. A person could also spool up multiple loops to work on multiple branches at the same time.

  • I think it saved my grandparents quite a bit of money. They didn't need to can too much; mostly just canned pizza sauce and green beans. I don't think they wasted much either. A lot of what they grew had a good shelf life (e.g. squash). The would also fry lawn weeds, like plantain and dandelions. It supplemented what they got from the food pantry.

  • We're probably seeing demand destruction. I'm curious if the thin-client thing that a lot of these companies seem to want will actually take off. I've also been noticing a lot of "cyberdeck" and retro handheld stuff lately; I wonder if that's related.

  • Figure out what the executive's day-to-day workflow is like, then make agents to do their job. Either they'll get an understanding of how inadequate it is, or they'll be able to just sit around doing nothing useful (assuming that's not what they do already).

  • Some of these feelings are very intellectual and abstract, and I think they have very little to do with having a body.

    I've seen good arguments that they have a lot to do with the body. There are tons of neurons outside the brain feeding it data and stimuli, often subconsciously, and tons of hormones being transferred around the body. Our digestive system can control how we feel about things before the brain even logically processes them (gut-feeling, not just digestive related stuff). If the toddler didn't associate the cookie with something that made him feel good, would he have cared? Is there even a good "feeling" without the rest of the body? Perhaps LLMs could implicitly learn to imitate systems like this without explicitly being trained to, IDK.

  • I already covered that in my last sentence. Those things aren't the things that take the bulk of the time, in my experience; I guess other peoples jobs are different. Generally, everything I write needs to maintained long term, or at least until the company goes under.

  • I think models would need embodiment and a simulated hormonal system to "experience" pain. I mean, you could trivially train a simple model to express pain, but is it really pain? I suppose that's a philosophical question. Params of models are frozen during inference too, making them less analogous to animal brains. A ANN is a very large set of numbers and mathematical operators (just a bunch of linear algebra), and typically only very loosely based on real NNs (being a model of a network is just about the only similarity). Though, that doesn't rule out the possibility of pain; depending on how "pain" is defined.

  • I've tried (and still try) to find good workflows using AI, but I don't think I've found anything that saves time. To get the same quality using AI, I have to go back and forth with it a lot, and review all the bloated bullshit it generates. If you don't care about quality or the thing even working correctly (e.g. prototypes/POCs), it's really fast.

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  • Mastodon has some weird etiquette I don't quite understand. Maybe it's because I've never really used "microblogging" or much social media outside old forums. Most people seem to use it for self-promotion. If you respectfully disagree on some part of someone's post or just try to be helpful and add more context, sometimes the OP gets upset (I've heard the term "reply-guy" mentioned on there before, and also seen "experts" pulling the "do you know who you are talking to" card when others try to add context). There is little discussion and interaction from what I've seen; mostly just posts without meaningful replies.

    Politically, Lemmy seems to lean left-ish. Mastodon leans liberal, but there's more variety than Lemmy (I guess since interaction is low). I haven't used Bsky, but I saw when Stephen King announced he voted for Platner he got dogpiled (dunno if that means Bsky leans establishment Dem that would prefer zionist and corporate Janet Mills or what).

  • "Small," non-generative, BERT-like models, would probably be more appropriate.

    Anthropic does sentiment analysis with regex in Claude Code though ¯(ツ)

  • Been a while since I played one, but Stunt Rally was/is really good. It kinda blew me away with how many tracks there were, and how fun they were, for a game I've never seen mentioned anywhere. Red Eclipse is cool too; like that they have an easy to use in-game level editor (with multiplayer!).

  • AI (frontier LLMs) are capital intensive. In that way, it's unlike many other kinds of software. I don't think near-frontier open source models will be a thing for very long. Even if you have the papers that describe everything, it will take many millions of dollars just in compute to train frontier models, and then a small army of people doing reinforcement tuning. The people who invest that capital will want to maximize returns and will be hostile to the idea of open source.

    Another capital intensive industry that arguably does a lot of good, and probably has a lot of idealist researchers is pharma. It's also one of the most predatory industries.

  • Tesla FSD is not safer than real drivers. All robotaxis are level 4 at most, so it's an "apples vs oranges" thing. It's like saying trains are safer than real drivers. By all accounts, the Tesla robotaxis are the worst that exist, and they're barely being used where they've been rolled out.

    I will give credit that Tesla forced other car manufacturers to innovate, but they're outclassed in every way now.

  • I only tried it a few times in the web chat interface. Seemed worse than Sonnet in that environment. Probably needs more reinforcement tuning for chat. Guessing it was tuned more for Claude Code.

  • Is it people deleting specific posts, or people deleting their accounts? I do find it kind of weird that when you delete your account, it deletes all the data you contributed. Maybe it's the right choice though, IDK.

  • i think he's talking about agentic harnesses getting better, and the new models being finetuned to use them. I don't think the new models are much "smarter," but it allows them to write shitloads of bad code and tests, then iterate over them until they're "fixed."

  • I tried a Volcano, and because of the long melt zone, I wasn't able to completely tune out the oozing/stringing (on my Bowden at least). I dunno if the newer high flow hotends still have this problem or not (or if they're fine on direct drive); something to consider.

    I actually have a Orbiter 2, and think I'm going to try the Volcano again. I still need to print a new toolhead for it.

    I have a Dragon SF on my Voron which seems to work well (in a Stealthburner/Clockwork 2). I like that I don't need to use 2 wrenches to change nozzles (unlike a V6) and that it securely attaches to the toolhead with screws (in the Stealthburner).

  • I'm sure the search engines log the IP, and with enough searches could be correlated back to you fairly easily even if you host it on a VPS? Unless it does some kind of mitigation I'm unaware of.

  • Qwant is French. Not a privacy search engine and looks like it features AI now. Kagi is really good, but US based and expensive. I think most of Europe does intelligence sharing with the US ("14 eyes" or something like that)?