| > like the double standard between anti-AI and pro-AI claims, one of which gets to make claims based on cherry-picked anecdotes, and the other which must produce rigorous studies This statement is honestly so ridiculous that I felt it didn't warrant a direct response, but here's one anyway: AI enthusiasts have been proudly proclaiming for literal years that AI makes them 10x as productive based on cherry-picked anecdotes with zero empirical evidence to back it up. It's way, way too late to claim hypocrisy here. As I stated under the original submission about this topic, irrational anti-AI behavior is usually just an equal and opposite reaction to irrational pro-AI behavior. > I rewrote all the prose in the entire document just to satisfy critics like you. And that doesn't help. If anything, editing the AI output to make it read less like blatant slop just comes off as deceptive, like you're trying to hide the fact that the analysis was AI generated. Looking at the commits, you were adding more AI generated text less than 2 hours ago[0] before quickly editing out one of the most blatantly sloppy sentences I've ever read[1]. Regardless, the final contents of the article are not the main issue. Even if we ignore the bias clearly on display there, the premise alone is enough to dismiss the entire thing as heavily biased and chasing a pre-determined conclusion - of course someone who is so dependent and trustful of AI that they decide such an analysis on the bugginess of AI code should itself be written by AI is going to steer the conclusion towards "actually AI code is good and you luddites are overreacting". The entire concept is so tone-deaf that failing to notice it or predict the criticism before publishing is enough to prove the bias. [0] https://github.com/alexispurslane/rsync-analysis/commit/e029... [1] https://github.com/alexispurslane/rsync-analysis/commit/740b... |
> This statement is honestly so ridiculous that I felt it didn't warrant a direct response, but here's one anyway: AI enthusiasts have been proudly proclaiming for literal years that AI makes them 10x as productive based on cherry-picked anecdotes with zero empirical evidence to back it up.
Let's go back to remedial classes on this one.
"I have found that [tool] has made me more effective" is what we call lived experience. It is an "i" statement communicating something about the person’s life. It does not require evidence by default, and you are a crazy person if you call bullshit without good reason, because many "I" statements are epistemically justified in ways that can't be empirically demonstrated or require tacit knowledge.
"[tool] has been buggier since [change]" is a falsifiable claim; you need to actually provide evidence for believing it, and what I'm showing is literally that there isn't any.