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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/)H
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2 yr. ago

  • I think 10x is a reasonable long term goal, given continued improvements in models, agentic systems, tooling, and proper use of them.

    It's close already for some use cases, for example understanding a new code base with the help of cursor agent is kind of insane.

    We've only had these tools for a few years, and I expect software development will be unrecognizable in ten more.

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  • Essentially, yes. Great point! I think it needs more features to function more like a social network (transitive topic-based sharing, for one)

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  • Hah, I designed one as well!

    I think the flow of information has to be fundamentally different.

    In mine, people only receive data directly from people they know and trust in real life. This makes scaling easy, and makes it impossible for centralized entities to broadcast propaganda to everyone at once.

    I described it at freetheinter.net if you're interested

  • the issue is that foreign companies aren't subject to US copyright law, so if we hobble US AI companies, our country loses the AI war

    I get that AI seems unfair, but there isn't really a way to prevent AI scraping (domestic and foreign) aside from removing all public content on the internet

  • Sorry for the late reply - work is consuming everything :)

    I suspect that we are (like LLMs) mostly "sophisticated pattern recognition systems trained on vast amounts of data."

    Considering the claim that LLMs have "no true understanding", I think there isn't a definition of "true understanding" that would cleanly separate humans and LLMs. It seems clear that LLMs are able to extract the information contained within language, and use that information to answer questions and inform decisions (with adequately tooled agents). I think that acquiring and using information is what's relevant, and that's solved.

    Engaging with the real world is mostly a matter of tooling. Real-time learning and more comprehensive multi-modal architectures are just iterations on current systems.

    I think it's quite relevant that the Turing Test has essentially been passed by machines. It's our instinct to gatekeep intellect, moving the goalposts as they're passed in order to affirm our relevance and worth, but LLMs have our intellectual essence, and will continue to improve rapidly while we stagnate.

    There is still progress to be made before we're obsolete, but I think it will be just a few years, and then it's just a question of cost efficiency.

    Anyways, we'll see! Thanks for the thoughtful reply

  • niche communities are still struggling due to the chicken-and-egg problem (and reddit dominance), but it's improving

    if there is a party, it's about lemmy's inevitable growth amidst reddit enshittification

  • relative to where we were before LLMs, I think we're quite close

  • the extent that Trump has gone to remove barriers to committing atrocities likely corresponds to the extent he intends to commit them

  • Peer to peer.

    I've spent a bit of time developing some related ideas, but haven't had time to start building it.

    It's a bit rough still, but I'd love some feedback! https://freetheinter.net/

  • we have to use trust from real life. it's the only thing that centralized entities can't fake

  • I think we have to build systems that use real-life interpersonal trust networks so that centralized entities cannot just outspend and bot their way to prominence.

  • I think the key is building a social information system based on connections we have in real life. Key exchange parties, etc

    It's the only way to introduce a prohibitively high cost to centralized broadcast and reduce the power of these mega-entities

  • that would be awesome, assuming they're all evil, but destroys the principle of faith

    I'm pretty sure that the ruse, if there is one, must be impossible to prove

  • the principal hypothesis of the bitcoin experiment is that a central ledger and issuer is not actually necessary, and it's still going strong

    central banks are a hell of a lot better than the hodgepodge that arose in the 1800s, but it's not proven that they will outlast an adequately designed decentralized implementation (whether it's bitcoin or something else)

    there are plenty of problems down the road for bitcoin, but there are arguably more for central banks. can a centralized currency survive the failure of its backing empire?

  • you're missing the point of being transgender.

    the goal is not to claim that they were born a different gender. that would be delusional, and transgender people can be totally rational.

    the point is simply to live as their preferred gender, and ideally be accepted as such.

    when they live as their preferred gender, they are able to feel happy and content, just like everyone else. it's not that difficult to consider how miserable we would feel if people misgendered us. it's a common insult.

    treating everyone as the gender they prefer is a simple act of kindness. you can choose to be an asshole about it, but you're not standing up for the truth, you're just choosing to be an asshole.

  • gender dysmorphia is the illness, and transitioning is the cure.

  • With an optimum design, bipedal robots are likely more power efficient. Read up on the efficiency of the human gait to understand why.

    In practice though, it's really challenging to get an optimum design (the current state of the art is not even close), so polypeds are better from a practicality standpoint.

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  • It's really just the DMCA.

    This kind of faultless takedown shouldn't be legal, but the DMCA carved it out decades ago.