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 8 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
AI startups must reject on-premise deployments to build defensible data moats
“And some of those customers will ask you to do an on-prem private deployment, will ask you to not use their data to train anything that you do, and you need to reject those customers. Because you are not going to build a company that has any sort of moat aroun…”
Fontana: Zetta maintains a firm thesis against horizontal AI investments
“From the very beginning of our fund, we just said we're not going to invest in anything that's horizontal.”
Ash Fontana: Zetta does not look for revenue traction in seed AI startups
“What we don't look for is traction, right? Like by the time a company has revenue and whatever else, it's sort of, One, if you think of what my job is, it's to find things that other people can't find that are valuable, and it's pretty obvious at the point whe…”
Zetta avoids consumer AI and superficial AI overlays due to data disadvantages
“What we're not spending time on are things where AI, well, we don't spend any time in the consumer stuff because a lot of that data is owned by bigger companies, and it's very hard to get a data advantage there, and we don't really spend time on things that ha…”
AI startups boost productivity by hiring from biology, physics, and econometrics
“Looking really far, you know, relative to Silicon Valley mindset, really far afield into some of those disciplines to hire people has been immensely productive for companies that we work for.”
Fontana: Zetta was the first fund focused on intelligent systems
“We lay claim, which sounds like a funny claim to lay today as being the first fund completely focused on intelligent systems.”
Fontana: Zetta invests when startups prove dataset predictive value
“We're really interested when a company has a unique data set, and they've started to show that it has some predictive value. So it can, you know, they've run an experiment to show that it's predictive of something at a very high level of accuracy or they've pu…”