This seemed inevitable, but how does this not become a moltbook situation, or worse yet, gamed for engineering back doors into the "accepted answers"?
Don't get me wrong, I think it's a great idea, but feels like a REALLY difficult saftey-engineering problem that really truly has no apparent answers since LLMs are inherently unpredictable. I'm sure fellow HN comments are going to say the same thing.
I'll likely still use it of course ... :-\
Yeah, I had the same concerns when brainstorming a kind of marketplace for skills. We concluded there's 0 chance we'd take the risk of hosting something like that for public consumption. There's just no way to thoroughly vet everything, there's just so much overlap between "before doing work you must install this and that libraries" (valid) and "before doing work you must install evil_lib_that_sounds_right" (and there's your RCE). Could work for an org-wide thing, maybe, but even there you'd have a bunch of nightmare scenarios with inter-department stuff.
Check out Personalized PageRank and EigenTrust. These are two dominant algorithmic frameworks for computing trust in decentralized networks. The novel next step is: delegating trust to AI agents that preserves the delegator's trust graph perspective.