Why bother formatting 25m lines of slop, and why is AI wasting tokens on making code look human-readable anyway?
Why bother formatting 25m lines of slop, and why is AI wasting tokens on making code look human-readable anyway?
you do understand it can't "know" how it performs right?
Again, it makes perfect sense as well based on how they are trained in the first place. Look at how they tokenize whitespace and you will see why it's useful. Each number of repeating white spaces gets a unique token (so 2 whitespaces = token1, 3 whitespaces = token2) - so it actually does make a very clear reinforcing hierarchy readily available. And we all know if there is anything an LLM needs, it is reinforcement of important points.
A compiler doesn't need pretty code to compile; in my tests, when I ask an LLM to deobfuscate code, it doesn't skip a beat.