At the start of 2025 I stopped buying Spotify and started buying Apple Music because I felt manipulated by the Spotify application's metrics-first design.
I felt that Spotify was trying to teach me to rely on its automated recommendations in place of any personal "musical taste", and also that those recommendations were of increasingly (eventually, shockingly), poor quality.
The implied justification for these poor recommendations is a high "Monthly Listener Count". Don't mind that Spotify can guarantee that any crap will have a high listener count by boosting it's place in their recommendation algorithm.
I think many people may have a similar experience on once-thriving social media platforms like facebook/instragram/X.
What I mean to say is that I think people associate the experience of being continually exposed to dubiously sourced and dubiously relevant metrics with the feeling of being manipulated by illusions of scale.
> The idea that LLMs make subtle mistakes that are somehow more subtle, insidious and uncatchable compared to any random 25 pull requests you get from humans is simply ridiculous.
This is plainly true, and you are just angry that you don't have a rebuttal
I didnt say the LLM does not make mistakes, I said the idea that a reviewer is going to miss them at some rate that is any different from mistakes a human would make, is ridiculous.
Missing in these discussions is what kinds of code people are talking about. Clearly if we're talking about a dense, highly mathematical algorithm, I would not have an LLM anywhere near that. We are talking about day-to-day boilerplate / plumbing stuff. The vast majority of boring grunt work that is not intellectually stimulating. If your job is all Carnegie-Mellon level PHD algorithm work, then good for you.
edit: I get that it looks like you made this account four days ago to troll HN on AI stuff. I get it, I have a bit of a mission here to pointedly oppose the entrenched culture (namely the extreme right wing elements of it). But your trolling is careless and repetitive enough that it looks like.....is this an LLM account instructed to troll HN users on LLM use ? funny
This fits my experience: programmers who are very vocal in their hate of using AI for programming work have in my opinion traits that make them great programmers (but I have to admit that such people often do score not very high on the Agreeableness personality trait :-) ).
Since you're a real established artist, I want to make my point more clear: I am not an artist and while AI image tools let me make fun pictures and not be reliant on artists for projects, it doesn't imbue me with the creativity to create artistic works that _move_ people or comment on our society. AI doesn't give or take that from you, and I argue that is what truly separates art and artists from doodles and doodlers.
I felt that Spotify was trying to teach me to rely on its automated recommendations in place of any personal "musical taste", and also that those recommendations were of increasingly (eventually, shockingly), poor quality.
The implied justification for these poor recommendations is a high "Monthly Listener Count". Don't mind that Spotify can guarantee that any crap will have a high listener count by boosting it's place in their recommendation algorithm.
I think many people may have a similar experience on once-thriving social media platforms like facebook/instragram/X.
What I mean to say is that I think people associate the experience of being continually exposed to dubiously sourced and dubiously relevant metrics with the feeling of being manipulated by illusions of scale.