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Linus Torvalds used AI to fix a Linux bug, and now LLM critics on Linux face an uncomfortable choice
(www.xda-developers.com)
this post was submitted on 01 Sep 2026
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Which is way more complex than just predicting text, because you have to predict physics and all that stuff. There is a reason most robots controlled by neural nets have failed hilariously so far.
By that logic you could say a compiler is reasoning. But the reasoning displayed was happening when the compiler (or LLM training material respectively) was written.
If you can’t see the difference between a compiler and a large language model, may I propose you read more about both and then return to this debate.
And if the entirety of your argument is a mystic “and all that stuff”, I am finding it hard to generate a convincing counter-argument.
If you can't see the difference between a given example and the underlying logic...
What, you want me to list the entirety of sciences downstream from physics that are involved in generating and predicting movement in mammals? Because that could, like, take a while...
You might be a few years behind. We have robots outpacing human performance in specific tasks using neural networks.
Also, LLMs can perform on tasks they weren't explicitly trained for. This line is not as well defined as you make it sound.
Might well be behind here, but to my knowledge we don't have a single robot outpacing a single human in most tasks. They don't do one-shot learning from their mistakes, they don't learn new movements randomly. Because most basically just use static weights when operating, because you don't really want an industrial robot to get ideas. But even test systems that can learn usually just have an equivalent to the movement model of a brain, maybe a vision model, just like an LLM is just a language model. You would need a system that has all of those, plus the other brain areas, especially a prefrontal cortex like model for integration.
I'm sure people are working on it, but I haven't heard of anything successful yet. I imagine there might be a being like that in secret which is currently tortured in some billionaires tech dungeon. Poor thing.
Yeah but that's coincidental. It's the model weights, prompt, and the RNG aligning. They can mock reasoning, because they do it by what they always do, predict more text, but it's not like this has any effect on themselves. They aren't really understanding a mistake when you point it out and growing neurons and synapses, i.e. they won't have different model weights the next time you ask the same question. They can only really change when the powers that be release an update, which includes new training data, and hence model weights.
Because they were created BY HUMANS to do exactly that.
Such as?