The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 9 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Hoffman: Pure AI simulation will not solve drug discovery
“Silicon Valley will classically go, we'll put it all in simulation and that will solve it. Nope, that's not going to work.”
Hoffman: AI models are better diagnostic knowledge stores than humans
“And so the diagnostic capabilities, these are much better knowledge stores than any human being on the planet.”
Hoffman: In 10 to 20 years, doctors won't be human knowledge stores
“I actually think there will be a position for a doctor, 10 years from now, 20 years from now. It won't be as the knowledge store. It will be as a user of an, as an expert user of the knowledge store, but it's not gonna be, oh, because I went to med school for …”
Hoffman: AI agency and goal-setting capabilities are almost certain
“I think agency and goals is almost certain. There is a question. I think this is one of the areas where we want to have some clarity and control. That was a little bit like the kind of question of what kind of compute fabric holds it together because you can't…”
Hoffman: AI will be net super positive for climate change
“They obsess about the climate change stuff, because actually, in fact, if you apply intelligence at the scale and availability of electricity, you're going to help climate change. You're going to solve grids and appliances and a bunch of other stuff. And just …”
Hoffman: 'Seven deadly sins' consumer framework still applies to AI
“The seven deadly stins still work because that's a question of what is infrastructure, psychological infrastructure across all eight billion plus human beings.”
Hoffman: Microsoft's long-term AI agent experiments get trapped in polite loops
“So Microsoft has had running for years now, agents talking to each other long form, like, just like, let's go for a year and do that and see what happens. And so often they get into like, oh, thank you. No, thank you. No, thank you. One month later. Thank you.…”