When it comes to “accelerating AI capabilities isn’t bad” I would suggest Kaj Sotala and Eric Drexler with his QNR and CAIS. Interestingly, Drexler has recently left AI safety research and gone back to atomically precise manufacturing due to him now worrying less about AI risk more generally. Chris Olah also believes that interpretability-driven capabilities advances are not bad in that the positives outweight the negatives for AGI safety.
For more general AI & alignment optimism I would suggest also Rohin Shah. See also here.
Olah: hrrm, no bounty, I think: it argues that a particular sort of AI research is good, but seems to concede the point that pure capabilities research is bad. (“Doesn’t [interpretability improvement] speed up capabilities? Yes, it probably does—and Chris agrees that there’s a negative component to that—but he’s willing to bet that the positives outweigh the negatives.”)
When it comes to “accelerating AI capabilities isn’t bad” I would suggest Kaj Sotala and Eric Drexler with his QNR and CAIS. Interestingly, Drexler has recently left AI safety research and gone back to atomically precise manufacturing due to him now worrying less about AI risk more generally. Chris Olah also believes that interpretability-driven capabilities advances are not bad in that the positives outweight the negatives for AGI safety.
For more general AI & alignment optimism I would suggest also Rohin Shah. See also here.
Kaj Sotala: solid. Bounty!
Drexler: Bounty!
Olah: hrrm, no bounty, I think: it argues that a particular sort of AI research is good, but seems to concede the point that pure capabilities research is bad. (“Doesn’t [interpretability improvement] speed up capabilities? Yes, it probably does—and Chris agrees that there’s a negative component to that—but he’s willing to bet that the positives outweigh the negatives.”)