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 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

Assertion Partly supported
HumanDX: Physician collectives outperform 90% of individual doctors in diagnostic accuracy
“We're now seeing that a collective of multiple physicians can outperform 90 plus percent of individual physicians.”
Jay Komarneni Jan 2, 2019 ▶ 10:21 a16z Podcast | The Taxonomy of Collective Knowledge
Insight
Jay Komarneni: Human input is required for human-interpretable AI ontologies
“The only way you're going to get the representations that are most valuable to humans is from human beings themselves, right?”
Jay Komarneni Jan 2, 2019 ▶ 4:23 a16z Podcast | The Taxonomy of Collective Knowledge
Insight
Komarneni: Token rewards incentivize decentralized collective intelligence and knowledge creation
“The ability to ultimately compensate people with application specific tokens is a really interesting incentive to use ontologies and distributed knowledge creation, collective intelligence to come to better answers around given issues or given problems.”
Jay Komarneni Jan 2, 2019 ▶ 21:50 a16z Podcast | The Taxonomy of Collective Knowledge
Insight
Jay Komarneni: Human intelligence excels at multi-scale data synthesis
“One place where that you see that natural place that humans are really good is when there's a high number of scales of different types of information or data, right? So, for example, in healthcare, everything from how your mitochondria or the electron transpor…”
Jay Komarneni Jan 2, 2019 ▶ 22:51 a16z Podcast | The Taxonomy of Collective Knowledge
Assertion Not checkable as stated
Jay Komarneni: HumanDX rewards physicians based on medical data demand
“In human DX, we actually like to use what we call impact in the system, and it allows us to differentially provide contributors who contribute more valuable contributions to the system in terms of what contributions the system most needs. So perhaps there's a …”
Jay Komarneni Jan 2, 2019 ▶ 19:33 a16z Podcast | The Taxonomy of Collective Knowledge
Assertion Not checkable as stated
Komarneni: Duolingo inspired HumanDX's gamified clinical case interface
“Louise had actually his work on Duolingo and really kind of this idea of creating these micro interactions that almost have this gamified structure was really a major inspiration also for the way that we built HumanDX to be these brief interactions where you c…”
Jay Komarneni Jan 2, 2019 ▶ 20:05 a16z Podcast | The Taxonomy of Collective Knowledge
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