The catarrhine who invented a perpetual motion machine, by dreaming at night and devouring its own dreams through the day.

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Joined 6 months ago
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Cake day: January 12th, 2024

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  • I think that the EU is fully aware that what makes those extra powerful is network effect. And, once they’re gone, something else pops up in their place. The case of Germans using WhatsApp for example would become inconvenient for them for fifteen whole minutes, then they’d jump into an alternative, and business as usual, without Faecesbook/Merda meddling.



  • There’s nothing intrinsically non-primary in the format. At the end of the day they’re collaborative writing projects, split into pages with internal and external links; it’s just that the biggest one out there happens to be tertiary.

    And I believe that they could help a lot with this issue if people migrated/copied meaningful info from forums (like Lemmy) to wikis. Forums are good for discussion, but they tend to accumulate a lot of trash; having the good content sieved and sorted in a wiki makes it more accessible for everyone.



  • Not even another info transferring entity would solve it. Be it quantum computers, photonic computers, at the end of the day we’d be simply brute forcing the problem harder, due to increased processing power. But we need something else than brute force due to the diminishing returns.

    Just to give you an idea. A human needs around 2400kcal/day to survive, or 100kcal/h = 116W. Only 20% of that is taken by the brain, so ~23W. (I bet that most of that is used for motor control, not reasoning.) We clearly suck as computing machines, and yet our output is considerably better than the junk yielded by LLMs and diffusion models, even if you use a really nice computer and let the model take its time producing its [babble | six fingers “art”]. Those models are clearly doing lots of unnecessary operations, while failing hard at what they’re expected to do.

    Regarding research, my point is that what’s going to fix generative models is likely from outside the field of artificial intelligence. It’ll be likely something small and barely related, that happens to have some ML application.



  • I don’t think that reinventing computers will do any good. The issue that I see is not hardware, but software - the current generative models are basically brute force, you throw enough data and processing power at the problem until it becomes smaller, but at the end of the day you’re still relying too much on statistical patterns behind the wrong entities.

    Instead I think that the ML architecture will change. And this won’t be done by those tech bros full of money burning effigies, who have a nasty/stupid/disgraceful tendency to confuse symbolic representations with the things being represented. Instead it’ll be done by researchers in some random compsci or robotics lab, in a random place of the world. They’ll be doing some weird stuff like emulating the brain of a fruit fly, and someone will point out “hey, you see this feature? It has ML applications”. And that’ll be when they actually add some intelligence to those systems, i.e. the missing piece of the puzzle. It won’t be AGI but it’ll be better than now, at least.



  • This would be great if Nintendo was genuinely concerned about encouraging the usage of a hostile platform. Sadly odds are that it cares about its brand way more than “those things” playing their games.

    Nintendo didn’t provide one [reason], but it’s likely due to X’s increased API costs

    I don’t think so. Even with the abusive costs the price would be rather small for Nintendo, in comparison with the advertisement of its games in Twitter. I think that it’s mostly a “eeeeew, Nintendo has X integration? Nintendo must be fascist.”

    Either way it’s a positive.