Commonplace book: supply chains, hope, cool
Yes this: https://social.coop/@luis_in_brief/115696408257250551 Helen Toner on generative AI and where it might go , which is a rare article on foundational models and the real world. Hard to pick highlights, but here goes: Two things are true about AI, I claim: AI models keep getting better and better AI models keep sucking, and the things they keep sucking at are kind of confusing ... So the bold claim in this talk is: maybe AI will keep getting better and maybe AI will keep sucking in important ways. ... Relatedly, pushing AI-for-good forward will matter: I didn’t say this in the talk, but related to the previous point—jaggedness raises the stakes for anyone hoping to use good AI to counterbalance against bad AI, so to speak. Two major examples of this are using AI to automate alignment or other safety research, and using AI for societal resilience measures like biodefense or cyberdefense . If AI progress is not jagged, it might make sense to just hold off and wait for AI...