Comment by permo-w
you're ignoring survivorship bias. anything text-based you can tell was made with AI input is something that was made using the AI poorly
you're ignoring survivorship bias. anything text-based you can tell was made with AI input is something that was made using the AI poorly
this doesn't really negate or address the fact that the sample you're basing your position upon clearly doesn't account for the content that you couldn't tell was made using AI
I only gave AI coding assistants as a secondary example as to why AI obviously isn't something that people are suddenly going to realise they don't need, and you're over-focusing on it because clearly you have an existing and well-thought out position on the topic, but it's completely beside the point
this thread is about AI generated text content online
If that was the case, that'd be great. I don't necessarily care how something was achieved, as long as the software engineering and architecture was properly done, requirements were properly considered, edge cases documented, tests written, and bugs reported upstream.
But it's not the case. Of course, I could be wrong – maybe it's not AI, maybe it's just actual incompetence instead.
That said, humans usually don't approach tasks the way LLMs do. Humans generally build a mental model that they refine over time, which means that each change, each bit of code written, closely resembles other code written at the same time, but often bears little resemblance to code nearby. This is also why humans need refactoring – our mental model has changed, and we need to adjust the old code to match the new model.
Whereas LLMs are influenced most by the most recent tokens, which means that any change is affected by the code surrounding it much more than by other code written at the same time. That's also why, when something is wrong, LLMs struggle with fixing it (as even just reading the broken code distorts the probabilities, making it more likely to make the same mistake again), which is why it's typically best to recreate a piece of code from scratch instead.