The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Haoyuan Li no published score: only 1 usable exchange on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

clear all ✕
1exchanges match
1on raw tape
0redirected or not addressed
Answered raw tape D 5 · C 4 · P 3 · Cm 3 3.90

Q Uh, very cool. What's, um, what's in the water at the AMP lab? Um, we had Florin from Mesosphere, uh, we had the, uh, the CEO of Databricks, we had, like, plenty of people, all those projects that came out of AMP. What, what, what is it about that place that creates so many great companies?

A Oh, I mean, I'm, I'm, I'm, I was lucky to join a great lab. Um, I think the lab is very, ah, on one side is keeping, keep, it keeps people in the lab, they try hard to, ah, dive deeper into technology. On the other side, we have a close interaction with the industry, and we are trying to see what's a real problem from industry, and try to derive, like, solutions, or more general solutions for different problems from the industry. And, ah, people, and we have a great environment, professors in the lab, They create, they allow, they give us opportunity to talk to all the people in the industry as well, to enable us to, ah, to solve, ah, interesting problems. So I think that's, ah, at least in, in my case, um, I think that's, ah, that's, ah, that's a, that's a reason.

AI assessment note: “we have a close interaction with the industry, and we are trying to see what's a real problem”

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