LLM advocates still don’t seem to be able to comprehend that ordering the machine not to ‘make stuff up’ doesn’t help.
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@benjamineskola @SheRaPantsuit
hm not being near fluent in tech, kindly elaborate on what this means 'cause I do live on a curiosity>confusion dynamic ...@benjamineskola @SheRaPantsuit also yes, ecosia has reader function, cheers ...
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@benjamineskola @MissConstrue @complexmath @nelson I'm using the word "agent" to not necessarily refer to "AI agents"
see: https://tech.lgbt/@solonovamax/116659064720106166
but yes, I currently believe that an artificial agent capable of thought and accurately modeling the world is science fiction
however I believe it is possible, only based on the fact that the transformer architecture is turing complete. but it might not be efficient for this, it might require like a model that's 10,000x larger than what is currently the largest possible model. I do not believe it is something that is possible in the near future (well, I hope it isn't).@solonovamax @benjamineskola @MissConstrue @complexmath @nelson
"Turing-complete" and "capable of actually representing reality and reasoning about it" are two very different statements.
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@solonovamax @benjamineskola @MissConstrue @complexmath @nelson
"Turing-complete" and "capable of actually representing reality and reasoning about it" are two very different statements.
@eestileib @solonovamax @benjamineskola @MissConstrue @complexmath reminds me of how much brains actually suck as computers, real brains are full of noise, operate in non-linear scales and are mostly "single-threaded" even though every single neuron works somewhat independently
i think our first mistake was to mistake computation with consciousness
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@eestileib @solonovamax @benjamineskola @MissConstrue @complexmath reminds me of how much brains actually suck as computers, real brains are full of noise, operate in non-linear scales and are mostly "single-threaded" even though every single neuron works somewhat independently
i think our first mistake was to mistake computation with consciousness
@nelson @eestileib @solonovamax @benjamineskola @complexmath
I think you're on to something there. A lot of AI hype can be seen as a mass pareidoliac hallucination. We're seeing dragons in the clouds.
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LLM advocates still don’t seem to be able to comprehend that ordering the machine not to ‘make stuff up’ doesn’t help. It doesn’t know when it’s making stuff up, and it couldn’t change that even if you told it to. (In fact it’s always just making stuff up, and is only ever true by chance.)
Part of why I’m so negative about them is that their advocates simply do not understand how they work and do not seem to want to.
@benjamineskola I really love how these guys selectively use ALL CAPS in their prompts, imagining that forces the LLM to play closer attention to particular requests.
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@nelson @eestileib @solonovamax @benjamineskola @complexmath
I think you're on to something there. A lot of AI hype can be seen as a mass pareidoliac hallucination. We're seeing dragons in the clouds.
@MissConstrue @nelson @solonovamax @benjamineskola @complexmath
I don't blame random non techy people or people who don't claim to know any philosophy for thinking chatbots are intelligent when all of their social sources of proof (rich people, relatives, the people on tv and YouTube) say it is and it seems like it is.
I rely on social proof to pick what food I eat all the time, it's not such a bad reasoning method for stuff you can't research yourself.
But people with CS or math or history or philosophy degrees (including all PhDs) should be ashamed of themselves if they tell other people that chatbots "think" or are "alive" or "apologize" or "feel bad".
That is a failure to use their intellectual training, and it is fucking over people who use their social status to form opinions on these matters.
Generative Textual Functionalism is just yet another extractive religion.
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@benjamineskola "hey convincing-bullshit-a-tron2000, i want you to stop making up bullshit when you answer to me"
"ok"@nelson @benjamineskola "hey machine that's been trained to put together the kind of words people use if they're being deferential, do what I tell you"
"ok" -
LLM advocates still don’t seem to be able to comprehend that ordering the machine not to ‘make stuff up’ doesn’t help. It doesn’t know when it’s making stuff up, and it couldn’t change that even if you told it to. (In fact it’s always just making stuff up, and is only ever true by chance.)
Part of why I’m so negative about them is that their advocates simply do not understand how they work and do not seem to want to.
@benjamineskola genuine question, could the LLM share it's confidence for what it says is true.. It's a probability machine so could it say "I'm 90% sure I'm correct"?
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@benjamineskola genuine question, could the LLM share it's confidence for what it says is true.. It's a probability machine so could it say "I'm 90% sure I'm correct"?
@RoBo2 No. The probability of it generating a particular output is based on frequency not correctness.
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LLM advocates still don’t seem to be able to comprehend that ordering the machine not to ‘make stuff up’ doesn’t help. It doesn’t know when it’s making stuff up, and it couldn’t change that even if you told it to. (In fact it’s always just making stuff up, and is only ever true by chance.)
Part of why I’m so negative about them is that their advocates simply do not understand how they work and do not seem to want to.
@benjamineskola I wouldn't be surprised if it works. The LLMs have been trained to have a certain level of confidence when replying and to make quick guesses for "trivial" questions. Nudging them to be more thorough could cause them to check their work with deterministic tool calls more frequently. It's sort of part of the problem though that the actual correct way to use the technology is to repeat some superstitious incantation or to talk to it like a cave man.
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@benjamineskola I wouldn't be surprised if it works. The LLMs have been trained to have a certain level of confidence when replying and to make quick guesses for "trivial" questions. Nudging them to be more thorough could cause them to check their work with deterministic tool calls more frequently. It's sort of part of the problem though that the actual correct way to use the technology is to repeat some superstitious incantation or to talk to it like a cave man.
@pontus_k But the tool has no conception of what is true or false. It can’t ‘check its work’ because it has no way of telling what is better and what is worse. What it would produce is something that has the appearance of a verification process; but it’s no more likely to be true.
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@prietschka I do recall that a few weeks back he was complaining that LLM advocates get made to feel unwelcome on the fediverse. (OK? I don’t care. It’s nobody’s job to make people feel good about their bad opinions.)
And then just a couple of days ago he was posting something critical, and like … yes this is what we’ve been saying all along.
@benjamineskola @prietschka yup, which prompted one of the folks who works on mastodon to go on a weird "we want journalists to come to fedi, right? how can we entice them to come? they're not coming because fedi is a monoculture, and you all don't engage with their views..." good times
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@benjamineskola @prietschka yup, which prompted one of the folks who works on mastodon to go on a weird "we want journalists to come to fedi, right? how can we entice them to come? they're not coming because fedi is a monoculture, and you all don't engage with their views..." good times
@patrick_h_lauke that’s the one. i’m happy for antisocial views to remain unwelcome tbh.
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@patrick_h_lauke that’s the one. i’m happy for antisocial views to remain unwelcome tbh.
@benjamineskola happy for them to post, but then don't complain when nobody likes/subscribes/hits the bell button/follows them/whatever other made-up number-go-up metric they see as engagement
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@benjamineskola happy for them to post, but then don't complain when nobody likes/subscribes/hits the bell button/follows them/whatever other made-up number-go-up metric they see as engagement
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@benjamineskola happy for them to post, but then don't complain when nobody likes/subscribes/hits the bell button/follows them/whatever other made-up number-go-up metric they see as engagement
@patrick_h_lauke yes, true, that’s the problem; they want not only to be allowed to share their bad opinions but to be rewarded for doing so (with internet points).
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@patrick_h_lauke yes, true, that’s the problem; they want not only to be allowed to share their bad opinions but to be rewarded for doing so (with internet points).
@benjamineskola it's the "i used to have 2 million followers on twitter...don't you realise who i am?" mentality
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@benjamineskola but it's ok, i have a second instance of a different LLM tasked with checking the output of the first LLM is CORRECT...
@patrick_h_lauke @benjamineskola
No no, as one commenter in the original thread mentioned. have THREE different passes... /s -
@RoBo2 No. The probability of it generating a particular output is based on frequency not correctness.
@benjamineskola for example if I typed "the cat sat on the " would it work out the probably the next word is "mat" with a score of 87%
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LLM advocates still don’t seem to be able to comprehend that ordering the machine not to ‘make stuff up’ doesn’t help. It doesn’t know when it’s making stuff up, and it couldn’t change that even if you told it to. (In fact it’s always just making stuff up, and is only ever true by chance.)
Part of why I’m so negative about them is that their advocates simply do not understand how they work and do not seem to want to.
@benjamineskola
It’s not “hallucinations”.
It’s just putting a stream of words together on the specified subject in a SYNTACTICALLY correct order.
Nothing more, nothing less.
Semantics, accuracy, TRUTH don’t even enter into it.
FFS, it’s not “intelligent”. It’s code.
“Computers don’t make mistakes.” (remember that one?)
People make mistakes. People program computers. (At least, they used to.)
Cthulhu save us all.