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.

clear all ✕

why aren't all 3 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

Insight
The real value of the Ivy League is community, not curriculum
“Because fundamentally what we want to do is we want to build something that has the real benefits of the Ivy League, which is not, in my opinion, the curriculum. It is the community and the network.”
Daniel Gross Aug 27, 2018 ▶ 17:14 20VC: The Commonalities In The Makings Of Truly Great People, How Silicon Valley Will Become The Home For Crypto and Frontier Tech Once Again & Why Games Are Such A Good Tool To Understand Human Motivation with Daniel Gross, Founder & Pioneer, Head of AI
Insight
Gross: Humans consistently fail to predict when research becomes a commodity
“I also think that we are very, very bad as a species at predicting when things that are the far end of research are about to become a commodity.”
Daniel Gross Aug 21, 2017 ▶ 11:56 20VC: YC's Daniel Gross on How YC Can Democratise AI & Reduce Incumbency Advantages, Why ML Enabled Software Will Eat The Software That Ate The World & Whether AI Will Produce Independent Companies or Be Technology within Incumbents
Insight
Gross: Bad engineers over-apply AI to problems lacking ambiguity
“Really great machine learning engineers have the same characteristic that really great all engineers have, which is they're kind of lazy, and they want to find the kind of Occam's razor, the dumbest way to fix the problem, and the bad ones want to kind of over…”
Daniel Gross Aug 21, 2017 ▶ 20:41 20VC: YC's Daniel Gross on How YC Can Democratise AI & Reduce Incumbency Advantages, Why ML Enabled Software Will Eat The Software That Ate The World & Whether AI Will Produce Independent Companies or Be Technology within Incumbents
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