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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/)F
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7 mo. ago

  • Look at meshtastic, it’s only text messages but the underlying system could be iterated on.

  • Yeah, staying on top of updates and watching the announcements is pretty much a requirement for Arch. Things change fast, that’s both the advantage and disadvantage of this distro.

    The AUR, like any repository where users can submit software, is going to have malicious uploads from time to time. The AUR team does a good job of removing these as soon as they’re discovered but there’s nothing that can prevent it. There’s a voting system so you usually see which packages are the most commonly installed but even that could be manipulated if someone were motivated enough.

    I would guess that if it became common enough they could enable some more stringent identity verification for submitters in order to cut down on bad actors. But it is very much at your own risk and there’s a big warning about it in the wiki saying as much.

  • The “ai bad” brainrot has everyone thinking that any algorithm is AI and all AI is ChatGPT.

  • I was just guessing (it’s how I’d do it) 🥳

  • TLDR

  • Maybe each server shows up as a library. Like “Server 1 - Movies”

    Kind of annoying but less so than swapping servers and search should work

  • “AI”

    Sharpening, Denoising and upscaling barely count as machine learning. They don’t require AI neural networks.

  • Not a thing. From the article:

    In some places, the main criticism that residents have about data centers has to do with the amount of water they consume to cool servers. This isn’t the case in Marseille, however, which is well-supplied with this resource. The authorities have even given Digital Realty access to water from the former underground drainage channels of the Gardanne coal mines, located north of Marseille. The water flows into the port, so the firm can use it to cool its systems.

  • It’s a misleading headline at best, clickbaiting the “ai bad” crowd.

  • It is definitely overhyped in the fields of language models and image/video generation. The idea that we're going to have language models replacing people is completely hype. Those tools have some uses, but they're not remotely close to the things that are being promised by the AI companies.

    Hardly anyone pays attentions to the massive improvements being made in robotics or things like protein folding.

    Sure, they're expensive, but not prohibitively so and they'll only get cheaper and better as investments are made. Investments like South Korea is doing.

    Compare the early Boston Dynamics videos of their Big Dog robot using human programmed feedback control systems vs this robot trained using reinforcement learning: https://www.youtube.com/watch?v=I44_zbEwz_w

    Programming a feedback control system is expensive and requires experts in multiple fields. Training models is a, relatively, simple process so the cost for robotics startups will be much lower. Motors, accelerometers, and image sensors and a strong graphics card is all you need. This process will be further sped up by foundational World Models which allows the training of a control system without any physical components as they're trained in simulation.

    LLMs are way overhyped, certainly, but that's only a tiny portion of the things that neural networks are being used for.

  • This could all be done with sensors and rules and, in fact, was. Unless we’re being super loose with what “machine learning” means here. We’ve been teaching robots to semi-autonomously navigate courses and return for ages.

    They use sensor fusion, simultaneous localization and mapping (SLAM), path planning, reinforcement learning, computer vision, clustering and classification, and data analysis and feedback loops. All machine learning.

    Neural networks are more efficient at computer vision than the old human-programmed methods and can be run on low performance hardware. Path planning and mapping could also be neural network based.

    That’s so gross to me personally that I don’t want to think about it. Both from a security as well as environmental perspective. I also disagree that it’s close, at least for how I think you’re using “close” here.

    Both BYD and Tesla have announced humanoid robots for around $10k starting next year.

    https://roboticsandautomationnews.com/2025/04/06/automaker-byd-to-sell-general-purpose-humanoid-robots-for-10000-each/89605/

    https://www.geeky-gadgets.com/tesla-optimus-2-humanoid-robot/

  • The only thing the Democratic Party hates more than Republicans is actual leftists.

  • If they could read they’d be very upset

  • Performative cruelty is the maga brand

  • More evidence that the Democrats exist specifically to defeat any actual progressive candidates.

    The fact that he’d rather side with fascists than democratic socialists tells you all you need to know about where he stands politically.

  • And what nice new clothes he’s wearing

  • It was inevitable that the bubble built on people being hyped and expecting sentient computers would burst.

    AI has applications, but the ridiculous promises of these tech companies haven’t been tethered to reality for quite some time.

  • It would generate as much or as little power as we design it to. As little as a single solar panel or a multi-gigawatt array.

    Even in operation it wouldn’t overproduce electricity. We have people, grid managers, who’s entire job is to coordinate all of the generation sources on the grid so that they adjust their output in order to match demand and maintain grid stability.

    Our generation capacity is always higher than normal demand, but all generation methods have the ability to control their output.