yes, that’s generally useless. It should not be shoved down people’s throats. 30% accuracy still has its uses, especially if the result can be programmatically verified.
The problem is they are not i.i.d., so this doesn’t really work. It works a bit, which is in my opinion why chain-of-thought is effective (it gives the LLM a chance to posit a couple answers first). However, we’re already looking at “agents,” so they’re probably already doing chain-of-thought.
I have actually been doing this lately: iteratively prompting AI to write software and fix its errors until something useful comes out. It’s a lot like machine translation. I speak fluent C++, but I don’t speak Rust, but I can hammer away on the AI (with English language prompts) until it produces passable Rust for something I could write for myself in C++ in half the time and effort.
I also don’t speak Finnish, but Google Translate can take what I say in English and put it into at least somewhat comprehensible Finnish without egregious translation errors most of the time.
Is this useful? When C++ is getting banned for “security concerns” and Rust is the required language, it’s at least a little helpful.
I was 0/6 on various trials of AI for Rust over the past 6 months, then I caught a success. Turns out, I was asking it to use a difficult library - I can’t make the thing I want work in that library either (library docs say it’s possible, but…) when I posed a more open ended request without specifying the library to use, it succeeded - after a fashion. It will give you code with cargo build errors, I copy-paste the error back to it like “address: <pasted error message>” and a bit more than half of the time it is able to respond with a working fix.
Are you just trolling or do you seriously not understand how something which can do a task correctly with 30% reliability can be made useful if the result can be automatically verified.
Its not a magical 30%, factors apply. It’s not even a mind that thinks and just isnt very good.
This isnt like a magical dice that gives you truth on a 5 or a 6, and lies on 1,2,3,7, and for.
This is a (very complicated very large) language or other data graph that programmatically identifies an average. 30% of the time-according to one potempkin-ass demonstration.
Which means the more possible that is, the easier it is to either use a simpler cheaper tool that will give you a better more reliable answer much faster.
And 20 tons of human shit has uses! If you know its providence, there’s all sorts of population level public health surveillance you can do to get ahead of disease trends! Its also got some good agricultural stuff in it-phosphorous and stuff, if you can extract it.
Stop. Just please fucking stop glazing these NERVE-ass fascist shit-goblins.
I think everyone in the universe is aware of how LLMs work by now, you don’t need to explain it to someone just because they think LLMs are more useful than you do.
IDK what you mean by glazing but if by “glaze” you mean “understanding the potential threat of AI to society instead of hiding under a rock and pretending it’s as useless as a plastic radio,” then no, I won’t stop.
It’s absolutely dangerous but it doesnt have to work even a little to do damage; hell, it already has. Your thing just makes it sound much more capable than it is. And it is not.
Also, it’s not AI.
Edit: and in a comment replying to this one, one of your fellow fanboys proved
Hitler liked to paint, doesn’t make painting wrong. The fact that big tech is pushing AI isn’t evidence against the utility of AI.
That common parlance is to call machine learning “AI” these days doesn’t matter to me in the slightest. Do you have a definition of “intelligence”? Do you object when pathfinding is called AI? Or STRIPS? Or bots in a video game? Dare I say it, the main difference between those AIs and LLMs is their generality – so why not just call it GAI at this point tbh. This is a question of semantics so it really doesn’t matter to the deeper question. Doesn’t matter if you call it AI or not, LLMs work the same way either way.
yes, that’s generally useless. It should not be shoved down people’s throats. 30% accuracy still has its uses, especially if the result can be programmatically verified.
Run something with a 70% failure rate 10x and you get to a cumulative 98% pass rate. LLMs don’t get tired and they can be run in parallel.
What’s 0.7^10?
About 0.02
The problem is they are not i.i.d., so this doesn’t really work. It works a bit, which is in my opinion why chain-of-thought is effective (it gives the LLM a chance to posit a couple answers first). However, we’re already looking at “agents,” so they’re probably already doing chain-of-thought.
Very fair comment. In my experience even increasing the temperature you get stuck in local minimums
I was just trying to illustrate how 70% failure rates can still be useful.
I have actually been doing this lately: iteratively prompting AI to write software and fix its errors until something useful comes out. It’s a lot like machine translation. I speak fluent C++, but I don’t speak Rust, but I can hammer away on the AI (with English language prompts) until it produces passable Rust for something I could write for myself in C++ in half the time and effort.
I also don’t speak Finnish, but Google Translate can take what I say in English and put it into at least somewhat comprehensible Finnish without egregious translation errors most of the time.
Is this useful? When C++ is getting banned for “security concerns” and Rust is the required language, it’s at least a little helpful.
I’m impressed you can make strides with Rust with AI. I am in a similar boat, except I’ve found LLMs are terrible with Rust.
I was 0/6 on various trials of AI for Rust over the past 6 months, then I caught a success. Turns out, I was asking it to use a difficult library - I can’t make the thing I want work in that library either (library docs say it’s possible, but…) when I posed a more open ended request without specifying the library to use, it succeeded - after a fashion. It will give you code with cargo build errors, I copy-paste the error back to it like “address: <pasted error message>” and a bit more than half of the time it is able to respond with a working fix.
Less broadly useful than 20 tons of mixed texture human shit, and more ecologically devastatimg.
Are you just trolling or do you seriously not understand how something which can do a task correctly with 30% reliability can be made useful if the result can be automatically verified.
Its not a magical 30%, factors apply. It’s not even a mind that thinks and just isnt very good.
This isnt like a magical dice that gives you truth on a 5 or a 6, and lies on 1,2,3,7, and for.
This is a (very complicated very large) language or other data graph that programmatically identifies an average. 30% of the time-according to one potempkin-ass demonstration. Which means the more possible that is, the easier it is to either use a simpler cheaper tool that will give you a better more reliable answer much faster.
And 20 tons of human shit has uses! If you know its providence, there’s all sorts of population level public health surveillance you can do to get ahead of disease trends! Its also got some good agricultural stuff in it-phosphorous and stuff, if you can extract it.
Stop. Just please fucking stop glazing these NERVE-ass fascist shit-goblins.
I think everyone in the universe is aware of how LLMs work by now, you don’t need to explain it to someone just because they think LLMs are more useful than you do.
IDK what you mean by glazing but if by “glaze” you mean “understanding the potential threat of AI to society instead of hiding under a rock and pretending it’s as useless as a plastic radio,” then no, I won’t stop.
It’s absolutely dangerous but it doesnt have to work even a little to do damage; hell, it already has. Your thing just makes it sound much more capable than it is. And it is not.
Also, it’s not AI.
Edit: and in a comment replying to this one, one of your fellow fanboys proved
Wrong
the industrial revolution could be seen as dangerous, yet it brought the highest standard of living increase in centuries
semantics.
No, it matters. Youre pushing the lie they want pushed.
Hitler liked to paint, doesn’t make painting wrong. The fact that big tech is pushing AI isn’t evidence against the utility of AI.
That common parlance is to call machine learning “AI” these days doesn’t matter to me in the slightest. Do you have a definition of “intelligence”? Do you object when pathfinding is called AI? Or STRIPS? Or bots in a video game? Dare I say it, the main difference between those AIs and LLMs is their generality – so why not just call it GAI at this point tbh. This is a question of semantics so it really doesn’t matter to the deeper question. Doesn’t matter if you call it AI or not, LLMs work the same way either way.
Removed by mod