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Joined 1 year ago
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Cake day: June 30th, 2023

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  • Yeah I think that people should be a lot more willing to pay someone to contribute to open source than they are to pay for usage of closed code. It really should be seen as the best form of charity, like when I donate to an open source project that makes a good education tool what I’m really doing is donating that tool to every school in the developing world and every student that wouldn’t have been able to afford a paid version.

    I think that we need to get into a world where showing off which projects you support is a way of flexing, like all these super rich attention seekers need to start funding development teams for apps ‘oh yeah I was so annoyed the librivox app didn’t have ai search tools that I paid two PhD students to implement it, apparently it’s been a real boon for foreign language learners and literary academics but I just use it to find me historic novels similar in theme to events in my own life, you know it suggested shadow over innsmouth, I don’t know what it’s trying to say!’

    People need to see that it’s much better to buy something for everyone in the world than just for you, especially because it makes it possible for other people like you to repay the favour and pay for further improvements which benefit you


  • I don’t really understand gay couples either, I don’t even understand gay people singularly. I think I understood them better as a child to be honest, like oh look two men are in a relationship that’s nice for them. Now I see a lot more detail and it starts getting confusing, like when you see two handsome guys just hanging out in a coffee bar holding hands. Where did they meet? It sure as fuck wasn’t on Grindr! And how can they just walk around being hot and sexy all day! Why aren’t they exhausted by the pure pressure of existence?!

    But yeah you don’t need to understand, no one understands anything anyway it’s far harder to understand why two men shouldn’t be allowed to love each other. Can anyone ever actually explain that without evoking a whole big fantasy about a powerful wizard that said it’s naughty?

    I think that’s what they actually mean, it’s really hard to convince a kid that two guys shouldn’t be allowed to be happy together especially when you can just look over and see two perfectly happy guys in nice clothes who look like they’ve stopped for lunch before going and bring really good at some racket based sport after which they’re going to a movie and sitting with their arms around each other… Strong arms from the racket sport, a slight hint of perspiration even after their shower together…




  • If you ask it to make up nonsense and it does it then you can’t get angry lol. I normally use it to help analyse code or write sections of code, sometimes to teach me how certain functions or principles work - it’s incredibly good at that, I do need to verify it’s doing the right thing but I do that with my code too and I’m not always right either.

    As a research tool it’s great at taking a basic dumb description and pointing me to the right things to look for, especially for things with a lot of technical terms and obscure areas.

    And yes they can occasionally make mistakes or invent things but if you ask properly and verify what you’re told then it’s pretty reliable, far more so than a lot of humans I know.


  • Why would I rebut that? I’m simply arguing that they don’t need to be ‘intelligent’ to accurately determine the colour of the sky and that if you expect an intelligence to know the colour of the sky without ever seeing it then you’re being absurd.

    The way the comment I responded to was written makes no sense to reality and I addressed that.

    Again as I said in other comments you’re arguing that an LLM is not will smith in I Robot and or Scarlett Johansson playing the role of a usb stick but that’s not what anyone sane is suggesting.

    A fork isn’t great for eating soup, neither is a knife required but that doesn’t mean they’re not incredibly useful eating utensils.

    Try thinking of an LLM as a type of NLP or natural language processing tool which allows computers to use normal human text as input to perform a range of tasks. It’s hugely useful and unlocks a vast amount of potential but it’s not going to slap anyone for joking about it’s wife.


  • People do that too, actually we do it a lot more than we realise. Studies of memory for example have shown we create details that we expect to be there to fill in blanks and that we convince ourselves we remember them even when presented with evidence that refutes it.

    A lot of the newer implementations use more complex methods of fact verification, it’s not easy to explain but essentially it comes down to the weight you give different layers. GPT 5 is already training and likely to be out around October but even before that we’re seeing pipelines using LLM to code task based processes - an LLM is bad at chess but could easily install stockfish in a VM and beat you every time.


  • That’s only true on a very basic level, I understand that Turings maths is complex and unintuitive even more so than calculus but it’s a very established fact that relatively simple mathematical operations can have emergent properties when they interact to have far more complexity than initially expected.

    The same way the giraffe gets its spots the same way all the hardware of our brain is built, a strand of code is converted into physical structures that interact and result in more complex behaviours - the actual reality is just math, and that math is almost entirely just probability when you get down to it. We’re all just next word guessing machines.

    We don’t guess words like a Markov chain instead use a rather complex token system in our brain which then gets converted to words, LLMs do this too - that’s how they can learn about a subject in one language then explain it in another.

    Calling an LLM predictive text is a fundamental misunderstanding of reality, it’s somewhat true on a technical level but only when you understand that predicting the next word can be a hugely complex operation which is the fundamental math behind all human thought also.

    Plus they’re not really just predicting one word ahead anymore, they do structured generation much like how image generators do - first they get the higher level principles to a valid state then propagate down into structure and form before making word and grammar choices. You can manually change values in the different layers and see the output change, exploring the latent space like this makes it clear that it’s not simply guessing the next word but guessing the next word which will best fit into a required structure to express a desired point - I don’t know how other people are coming up with sentences but that feels a lot like what I do



  • I use LLMs to create things no human has likely ever said and it’s great at it, for example

    ‘while juggling chainsaws atop a unicycle made of marshmallows, I pondered the existential implications of the colour blue on a pineapples dream of becoming a unicorn’

    When I ask it to do the same using neologisms the output is even better, one of the words was exquimodal which I then asked for it to invent an etymology and it came up with one that combined excuistus and modial to define it as something beyond traditional measures which fits perfectly into the sentence it created.

    You can’t ask a parrot to invent words with meaning and use them in context, that’s a step beyond repetition - of course it’s not full dynamic self aware reasoning but it’s certainly not being a parrot


  • But also the people who seem to think we need a magic soul to perform useful work is way way too high.

    The main problem is Idiots seem to have watched one too many movies about robots with souls and gotten confused between real life and fantasy - especially shitty journalists way out their depth.

    This big gotcha ‘they don’t live upto the hype’ is 100% people who heard ‘ai’ and thought of bad Will Smith movies. LLMs absolutely live upto the actual sensible things people hoped and have exceeded those expectations, they’re also incredibly good at a huge range of very useful tasks which have traditionally been considered as requiring intelligence but they’re not magically able everything, of course they’re not that’s not how anyone actually involved in anything said they would work or expected them to work.






  • Conspiracy loons are wild on Facebook so I know what you mean, it’s so hard not to poke them occasionally. I like that the feed is so broken you just start getting the most insane things - block as many shitty pages as you can, like all the ones that post about how a guy with one leg drove a truck 19 hours a day to pay for his grandsons double cancer so that means poor people shouldn’t get hand outs. Then you start getting into the real weeds, oh and block the bot farm ones, you’ll recognise them they post pickles comics and no human could bring themselves to do that.

    When you start seeing Indian mechanical engineering memes like ‘how to design flat roof pitch common mistake 💯 slope degree 13.5° ☑️’ you’re getting close, you’ll start seeing things like ‘today it takes us two years to build a family home but ancient people could do it in three weeks’ the comments will be full of people who know every facet of whatever conspiracies the post is somehow referencing, which is normally a lot.

    ‘normies don’t realize how much easier life was when we had sonic resonance construction tools, if they did they’d rotate the sixth tower of Thomas Tesla to reopen the Elizabethan Toltec free energy portal’ and you think they’re just in their own world but everyone will be replying ‘yeah, robin Williams was killed because if you watch Mrs doubtfire at the same time as eyes wide shut the dialog syncs up and they warn biden will cover up the free energy machine’

    Except of course they can say it in 20,000 words if they feel like it.