Sure, the point about LLM "mistakes" etc being harder to detect is valid, although I'm not entirely sure how to compare this with human hard to detect mistakes. If anything I find LLM code shortcomings often a bit easier to spot because a lot of the time they're just uneeded dependencies, useless comments, useless replication of logic, etc. This is where testing come into play too and I'm definitely reviewing your tests (obviously).
>Burying your head in the sand and choosing to be a guinea pig for AI companies by reviewing all of their slop with the same care you'd review human contributions with (instead of cutting them off early when identified as problematic) is your prerogative, but it assumes you're fine being isolated from the industry.
I mean listen: I wish with every fiber of my being that LLMs would dissapear off the face of the earth for eternity, but I really don't think I'm being "isolating myself from the industry" by not simply dismissing LLM code. If I find a PR to be problematic I would just cut it off, thats how I review in the first place. I'm telling some random human who submitted the code to me that I am rejecting their PR cause its low quality, I'm not sending anthropic some long detailed list of my feedback.
This is also kind of a moot point either way, because everyone can just trivially hide the fact that they used LLMs if they want to.