posted in Technology
Linus Torvalds used AI to fix a Linux bug, and now LLM critics on Linux face an uncomfortable choice
lists.debian.org/debian-project/…/msg00041.html
www.xda-developers.com/linus-used-ai-bug-llm-critics-face-choice/Replying to @themachinestops@lemmy.dbzer0.com
Oh, please… is it still a text generator, or is it already a religion?
Replying to @Zwuzelmaus@feddit.org
I’m just a movement generator.
Saying “it’s a text generator” cannot be the full force of your criticism, if the text it generates is incredibly useful. What could AI be on a screen if not a text generator?
Your views have got to be formed by WHAT text is generated given that AI cannot express itself through any other channel than text.
If you can give AI a deeply complex code base and ask it to find the likely cause of an obscure bug, and the solution is right, then you’ll have to acknowledge that some form of reasoning is going on, no?
And given that no other system has previously enabled this form of reasoning, it seems a shame to judge AI on semantics, rather than usefulness.
Replying to @sunbeam60@feddit.uk
If you can give AI a deeply complex code base and ask it to find the likely cause of an obscure bug, and the solution is right, then you’ll have to acknowledge that some form of reasoning is going on, no?
Absolutely not. LLMs are just prediction engines for words.
If a LLM has the right answer, it only means that the model had the correct training data for your issue. Nothing more.
Replying to @Croquette@sh.itjust.works
That is absolutely not how it works at all
Replying to @Yewb@lemmy.world
What do you mean? That’s exactly how LLMs work. That’s why they “hallucinate”.
No they hallucinate because they lose context but are tasked to answer anyways. They also don’t really lose context as much as they did a year ago.
Their training data has nothing to do with it unless you’re using a local one without web access.
Replying to @architect@thelemmy.club
ML is my career and I’ve been doing it for decades. You’re wrong. LLMs hallucinate with full context.
Replying to @Zaktor@sopuli.xyz
I miss when we thought the future was ML.
Replying to @natecox@programming.dev
ML is still very useful and used everyday. LLM could have been a nice tool in niche applications, but instead, big capitalists ruined that for us, and torching the environment and wrecking the economy with it instead.
Replying to @Croquette@sh.itjust.works
Oh yeah ML still has a place for sure, it just doesn’t have the bizarre excitement because it’s actually hard to do.
Replying to @architect@thelemmy.club
Their training data has nothing to do with it unless you’re using a local one without web access.
Did you know that the ones you access online are also trained?
Did you know that any chatbot that can connect to the web was given that capability?
Replying to @architect@thelemmy.club
No they hallucinate because they lose context but are tasked to answer anyways.
Nothing to do with context. Context windows are an LLM specific thing, but all neural networks no matter the kind or size “hallucinate” because they are a piece of linear algebra where you put numbers in on one side and get numbers out the other.
Replying to @Yewb@lemmy.world
Uh huh, and how does it work?