My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing.
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine
Also known as “training”. When people are trained in art, they don’t reinvent art from scratch. This is why you can’t really sue an LLM for plagiarism: you can’t even identify specific victims in the first place.
and disaster for the environment,
Nope. The whole IT sector uses about 3–5% of global electricity, so poor home insulation is a much bigger problem overall.
is that they introduce so much unpredictability into computing.
We call it a statistical method, or more precisely a stochastic system. Because, to a large extent, human behaviour itself can be modelled as a stochastic process.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering.
The problems you face when communicating with LLMs are the same ones you face when communicating with people, because statistically speaking an LLM mimics how people communicate.
This is why computer‑mediated communication was used before, and is still used, when computers were not trying to mimic humans.
The core issue is that mimicking humans reproduces the same communication problems people already have with one another; and the “unpredictability” of the other party is nothing new in human interaction.
LLMs mimic humans, so the problems you encounter with LLMs are the same problems you encounter with humans. The point is that you consider it normal when you face exactly the same issues with other people.
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
@EmilyEnough There are so many "My biggest problem with LLM, even if it wasn't for <list of other big problems>", there should be collection of them somewhere.
But, yes, this bit bugs (pun intended) me and worries me. I'm more and more falling for BEAM family languages (Erlang, Elixir and Gleam) because of how they are designed to be as predictable as possible.
It may not be too odd that I see a lot less AI push in that ecosystem compared to other ones.
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whatever.
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ok, since you aren't able to, let me google for sources:
We did the math on AI’s energy footprint. Here’s the story you haven’t heard.
The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next.
MIT Technology Review (www.technologyreview.com)
MIT says , 4.4%.
Arxiv is so full of shit, I don't even care. WARNING: next time you ask me to google something for you, since you are too stupid for , you must pay me.
So:
- you make claims without supporting evidence,
- you simply dismiss as "full of shit" any evidence that's inconvenient to you,
- you just call others "stupid".I don't know if you think you're smart, but with these traits the other people see very clearly that you aren't different from a flat-earther, and will treat your claims accordingly. Guess who's the one "full of shit".
Bye bye Mr Flat-Earth.
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
@EmilyEnough Well said. This could never have been LLM-generated.
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
@EmilyEnough On a slight side note, have you seen this...
Athena (@Climatehistories@mastodon.social)
Attached: 1 video Sam Altman: “We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter.” Meaning: We stole all your knowledge , writing, and art, and now we’re gonna put a meter on it and sell it back to you. You’re welcome.”
Mastodon (mastodon.social)
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
@EmilyEnough this is a very justified rant
But the thought of computers being too autistic so people had to turn them neurotypical by adding llms is just so funny
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@EmilyEnough Wow, I have thought a lot about how coding LLMs are antithetical to my own OCD tendencies that want everything to be built and formatted in a very specific way (i.e. the right way), but had not considered how terrible the interface would be for folks who prefer not to have to process information conversationally.
I would love to read an entire book or series of articles about how LLMs as an interface enforce neurotypical modes of communication on neurodiverse people.
@mikemccaffrey @EmilyEnough The "you can write natural language queries" idea has always gotten a response from me of "why the fuck would I want to do that?" Standard search engine queries and stuff are so much easier.
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
@EmilyEnough Had an interesting chat with the senior director at my office recently. He pointed out that as far as he can see, he already uses natural language to explain what he wants from software. This is just faster.
It was a perspective I hadn't considered before, but the more I think about it the more I think it's deeply insulting. -
@EmilyEnough Had an interesting chat with the senior director at my office recently. He pointed out that as far as he can see, he already uses natural language to explain what he wants from software. This is just faster.
It was a perspective I hadn't considered before, but the more I think about it the more I think it's deeply insulting.@rupert he is telling you flat out that he plans on replacing the expensive translation layer (you) asap. By and large that’s how the entire capital class sees this technology, as a way to eliminate expensive human labor without doing any actual work themselves.
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@rupert he is telling you flat out that he plans on replacing the expensive translation layer (you) asap. By and large that’s how the entire capital class sees this technology, as a way to eliminate expensive human labor without doing any actual work themselves.
@EmilyEnough I knew the plan. I just couldn't understand why he thought it would work.
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plagiarism laundering machine
Never thought about it like this, but it is indeed similar to alaundering.
You’re trying to give directions to a lossily compressed copy of the entire works of human writing.
This line sums up the futility extremely well.
@Evelyn Estelle Manifestos are fiction dressed up as facts. Particularly in the preambles, manifestos are a type of storytelling. The two famous manifesto templates, “The Communist Manifesto” and “The Founding And Manifesto Of Futurism,’ begin as stories. The communist manifesto begins with a ghost story (a specter is haunting Europe). The futurist manifesto starts with an account of how the manifesto was created (blackening reams of papers with our frenzied writing). The futurist movement also included a car chase (in 1910!). This ended with Marinetti crashing into the ditch and being pulled out by a group of fisherman. From that very spot the futurists proclaimed “Faces smeared with factory mucks, we shout aloud the word Futurism!�” -
My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
@Emily
️
️⚧️ Neoists are artists who participate in the Neoist Apartment Festival. Their works are often mistaken for Neoism proper. Some Neoists also use plagiarism and pranks. Neoists are known for their anti-commercialism, and many of them are also involved in the Plagiarism campaign.
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My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
@EmilyEnough As your fellow ND professional computer toucher, I'm 100% with you - the unpredictability drives me batty. If I want a RNG I'll call one - what I intend to be deterministic should be, verifiably, repeatably. Lipsticked pig LLMs have snuck into what I have to do for work and beating one's head against that BS is a good way to eventually flame the fuck out of tech. Corporate controlled computing was a mistake.
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@EmilyEnough Had an interesting chat with the senior director at my office recently. He pointed out that as far as he can see, he already uses natural language to explain what he wants from software. This is just faster.
It was a perspective I hadn't considered before, but the more I think about it the more I think it's deeply insulting.As a system architect, this is also what I do. The thing is, I absolutely depend on the people who do the implementation having good judgement. They need to fill in the gaps (if there were no gaps, I would have an implementation already) but also tell me if there are real problems with some of the ideas. This is why the first thing I do with a design is have it reviewed by people who will implement it. If they tell me ‘actually, this thing you forgot to consider is where our critical path is’ then that often leads to a complete redesign, or at least to significant change. The LLM will just produce something. With an ‘agentic’ loop and some automated testing, it will produce something that passes my tests. But it won’t tell me I’m solving the wrong problem.
I don’t have a problem with constrained nondeterminism in general. There are loads of places where this is fine. The place I used machine learning in my PhD was in prefetching. Get it right and everything is faster. Get it wrong and you haven’t lost much. This kind of asymmetry is great for ML-based probabilistic approaches: the benefit of a correct answer massively outweighs the cost of an incorrect one. The other place it works well is if you have a way of immediately validating the output. I supervised a student using some machine-learning techniques to find better orderings of passes for LLVM. They were tuning for code size (in a student project, this was easier than performance, which requires more testing). You run the old and new versions, one is smaller. That gives you an immediate signal and so using non-deterministic state-space exploration is great. You (probably) won’t get the optimal solution but you will get a good one, for far less effort than trying to reason about the behaviour of the interactions between dozens of transforms.
It’s not clear to me that LLMs for programming have either of these properties.
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