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 6 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
Dixon: Basic highway autonomous driving is easy; edge cases are the challenge
“So like self-driving cars are another good example where if somebody tells you, oh, I saw a self-driving car, and it was able to drive on the highway during daylight, that's actually not very impressive, and that's actually something that almost anyone can bui…”
Dixon: It is easier to teach a technologist business than vice versa
“We kind of make the assumption that that's easier to learn than the opposite. Like it's easier to teach your computer science business and vice versa. You're never going to teach a business person computer science on the job, right? You have to go to school fo…”
Dixon: Great startup founders anticipate and traverse an 'idea maze'
“We have this concept we call the idea maze and the idea maze is the, is sort of the idea that That the startup ideas aren't really just kind of a static thing. It's kind of like, you know, you see the TV or the movies and they have the way they kind of, you kn…”
Dixon: Venture capital operates on a manager schedule instead of maker flow states
“And VC is very much a manager, so it's sort of one hour scheduled meetings as opposed to kind of, you know, eight hours of getting into a flow state and thinking about a topic. So the good, the bad part is it's sort of a lot of state switching and kind of jump…”
Dixon: Series A investing is 90% about people, not the business plan
“I think it's series A, it's definitely, certainly people is 90% of it, and the idea is also important with the proviso that the idea will, at that point we know it will change so it's kind of more like You're investing in the general direction of the idea.”
Dixon: AI is simply human expertise embedded into regular software
“A lot of automation,
Doesn't really look like automation.
It looks like just regular software.
That's a lot of ways what AI really is.
It's sort of taking what smart people do and embedding it in software and giving that software out to lots of people.
and so…”