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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/)IG
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2 yr. ago

  • Idiots thinking a new thing is magic that will solve all the worlds problems doesn't mean the thing doesn't have merit. Someone calling themselves an exper carpenter because they have a nailgun doesn't make nailguns any less useful.

    If you see a person doing a data entry job, do you walk over to them, crack their head open and say "aww man, it's not magic, it's just a blob of fat capable of reading and understanding a document, and to then plot the values into a spreadsheet"?

    It's not magic, it's not a super intelligence that will solve everything, it's the first tool we've been able to make that can be told what to do in human language, and able to then perform tasks with a degree of intelligence and critical thinking, something that normally would require either a human or potentially years of development to automate programmatically. That alone makes it very useful

  • What if i say big fusion companies will take over the ai market since they have the energy to train better models, seems exactly as likely.

    Remember when GPUs stopped being available because openAI bought nvidia and AMD and took all the gpus for themselves?
    No? Weird, since gpus are needed for them to be able to deliver anything significantly better than what we have now 🤔

  • Yeah that was a hypothetical, if you had thoae things you would be able to create a true AGI (or what i would consider a true AGI at least)

    Text is basically just a proxy, but to become proficient at predicting text you do need to develop many of the cognitive abilities that we associate with intelligence, and it's also the only type of data we have literal terrabytes of laying around, so it's the best we've got 🤷‍♂️

    Regarding memory, the human mind can be viewed as taking in stimuli, associating that with existing memories, condensing that into some high level representation, then storing that, a llm could, with a long enough context window, look back at past input and output and use that information to influence it's current output, to mostly the same effect.

    What do you mean throwing a black box into an analytical prediction machine? And what do you mean 5 years of development?

  • Not sure i'm fully understanding your point, are you saying that the large AI companies will create AIs that will create technologies beyond what everyone else is capable of, thus outcompeting everyone, effectively monopolizing every market and from there basically become the umbrella corporation?

    I would be very impressed if anyone managed to make an AI capable of innovation to that degree, but sure, in that case we would have to fall back on something like government oversight and regulations to keep the companies in check i suppose

  • Great story! It’s clear that the old man knows his stuff and has some good advice for handling HAL. Confidence and clarity are key when dealing with these advanced systems. It’s a nice blend of humor and practical tips – can’t wait to see how the kid takes on the challenge! And yes, definitely time to grab a bite after all that important training.

  • Usurp? They won't be the ones to develop quantum computers, nor will they be developing fusion, if those technologies become available they might start using them but that won't somehow mean it won't be available for other uses.

    And seeing as they make money from "renting out" the models, they can easily be "used for better purposes"

    ChatGPT is currently free to use for anyone, this isn't some technology they're hoarding and keeping for themselves

  • Hard to make a roadmap when people can't even agree on what the destination is not how to get there.

    But if you have enough data on how humans react to stimulus, and you have a good enough model, then you will be able to train it to behave exactly like a human. The approach is sound even though in practice there prooobably doesn't exist enough usable training data in the world to reach true AGI, but the models are already good enough to be used for certain tasks

  • No clue, all i know is that i never have to do more than that, and noone has managed to get it working on windows 🤷‍♂️

    When i started learning programming, everything was always a pain to set up, needed to install weird IDEs from shady websites and they only worked half the time. Then a friend showed me linux where stuff just worked out of the box, just slap some code in a textfile and compile it, i never looked back (was working in c/c++ but from what i've seen it's not much better for python)

  • Every now and then a new hire comes along with a windows pc, every time they decide they want to try to get everything working on windows, after a week they give up.

    On linux it's one pip install and you're done

  • Thanks

    Jump
  • I got passed by a bus multiple times, called and complained but they said he probably didn't see me,

    I waved a torch and stepped into the road to force him to stop, he then let me on but proceeded to yell at me that i shouldn't take the bus because he didn't want to stop at my stop, despite it being on his schedule

    So yeah i guess not being at the stop leads to you missing the bus, but being at the stop doesn't necessarily help