I noticed the somewhat confused flow of the post as well. Reads a bit like a stream of consciousness. It could just be that the author didn't proofread what they wrote down over the course of the night. But I think your AI suspicion is a more likely explanation given the times we're in.
It's unlikely that LLMs are gonna get us there though. They ingested all relevant data at this point at the net effect might very well kill future sources of quality data.
How is e.g. stackoverflow gonna stay alive if the next generation of programmers relies mainly on copilot and vibe coding? And what will the LLMs scrape once it's gone?
That's true to a degree. But giving them free reign inventivizes the kind of behavior that gave us the 2008 financial crisis. So the commenter can be forgiven for wanting to limit that sector.
Go work or ask any man who ever worked in an all female HR-department, then catalogue the feedback you get. When all points on the graph form a line, is it still a bias?
People say all-male teams are toxic, but they miss that all-female teams tend to be even worse.
I also thought those wooden guard rails looked pretty spot on how they would look on 2C-B. The only thing that's missing is the overlay of geometric patterns on even surfaces.
If we are able to detect AI scrapers then I would welcome a more strategic solution: feed them garbage data instead of the real content. If enough sites did that then the inference quality would take a hit and eventually the perpetrators, too.
But of course this is the more expensive option that can't really be asked of sites that already provide public services (even if those are paid for by ads).
I assume they didn't expect users to use directory hierarchies much and thought everybody would dump their files into flat dirs and search them with spotlight.
