I find it incredibly easy on people and processes my life does not depend on being the way it is. I find it incredibly annoying and unconfortable when around people and processes my life depends on.
If it takes longer to read, it's not an AI problem, but the author failing to catch that the comment is too drawn out. I don't see how it is a problem to have AI write a comment if you agree with the content. If it is bad content, it will eventually reflect badly on the author anyway.
I skim 100 comments here everyday. Good comments/bad comments, overly long comments, whatever, time to read is low. I assume all those authors have a strong opinion / expertise on the subject that urged them to take the time to write that comment, which makes skimming hacker news to keep a pulse on the world (imho) a valuable task. If, instead, most of those comments are composed by molt-bots, then I'm not getting a "real" view of the world, I don't care how good and concise the comments are, I'd be wasting my time reading about news that may not matter to anyone and opinions that may not exist.
I read what you say, but I can hardly imagine how people can be twice as productive. I use Claude daily for writing various scripts. It produces a lot of code, so yes, if I measured it by generated code, then it's productive. However, it works best for short, clearly defined tasks/scripts. If you want anything longer, you have to watch it like a hawk so it doesn't go off track. And I'm not sure if I would give this code to someone else to use without a thorough review. I would say it may be even less productive (I think there was a paper on that).
I also use LLMs for writing; it's good, but again, you need to carefully read everything and rewrite passages that are completely made up. So I'm not really sure how this can replace people, to the point that Amazon is firing 30,000 people. I have a hard time squaring it that it's because of AI.
When developers are allowed to use AI tools, they take 19% longer to complete issues—a significant slowdown that goes against developer beliefs and expert forecasts. This gap between perception and reality is striking: developers expected AI to speed them up by 24%, and even after experiencing the slowdown, they still believed AI had sped them up by 20%.
When developers are allowed to use AI tools, they take 19% longer to complete issues—a significant slowdown that goes against developer beliefs and expert forecasts. This gap between perception and reality is striking: developers expected AI to speed them up by 24%, and even after experiencing the slowdown, they still believed AI had sped them up by 20%.
