I looked into this and got some useful information. Enough people asked me to keep their comments semi-confidential that I’m not going to post everything publicly, but if someone has a reason to want to know more, they can email me. I haven’t paid any attention to this situation since early 2022 and can’t speak to anything that’s happened since then.
My overall impression is that the vague stereotype everyone has is accurate—Michael is pretty culty, has a circle of followers who do a lot of psychedelics and discuss things about trauma in altered states, and many of those people have had pretty bad psychotic breaks.
But I wasn’t able to find any direct causal link between Michael and the psychotic breaks—people in this group sometimes had breaks before encountering him, or after knowing him for long enough that it didn’t seem triggered by meeting him, or triggered by obvious life events. I think there’s more reverse causation (mentally fragile people who are interested in psychedelics join, or get targeted for recruitment into, his group) than direct causation (he convinces people to take psychedelics and drives them insane), though I do think there’s a little minor direct causation in a few cases.
I retraced the same argument about Olivia that people are having here—yes, she likes manipulating people and claiming that she’s driven them insane (it’s unclear how effective she actually is or whether she just takes credit, but I would still avoid her), she briefly hung out with Michael in 2017 and often says that Michael inspired her to do this, but Michael denies continued affiliation with her, and she hasn’t been part of his inner circle of followers since the late 2010s (if she ever was). The few conversation logs I got failed to really back up any continuing connection between them, and I think she’s more likely doing it on her own and sort of piggybacking on his reputation.
I continue to recommend that everybody just stay away from this entire scene and group of people.
Questions for people who know more:
Am I understanding right that inference compute scaling time is useful for coding, math, and other things that are machine-checkable, but not for writing, basic science, and other things that aren’t machine-checkable? Will it ever have implications for these things?
Am I understanding right that this is all just clever ways of having it come up with many different answers or subanswers or preanswers, then picking the good ones to expand upon? Why should this be good for eg proving difficult math theorems, where many humans using many different approaches have failed, so it doesn’t seem like it’s as simple as trying a hundred times, or even trying using a hundred different strategies?
What do people mean when they say that o1 and o3 have “opened up new scaling laws” and that inference-time compute will be really exciting? Doesn’t “scaling inference compute” just mean “spending more money and waiting longer on each prompt”? Why do we expect this to scale? Does inference compute scaling mean that o3 will use ten supercomputers for one hour per prompt, o4 will use a hundred supercomputers for ten hours per prompt, and o5 will use a thousand supercomputers for a hundred hours per prompt? Since they already have all the supercomputers (for training scaling) why does it take time and progress to get to the higher inference-compute levels? What is o3 doing that you couldn’t do by running o1 on more computers for longer?