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 →

Kuang Chen 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.

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Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q suggestions that you suggested, but, um, It sounds like at the end of the day, a lot of it is very human. It's about convincing people to do it and solving how, where they fit the technology in the organization. Uh, any additional thoughts on this, I guess? Do you, when you, when you sell to large enterprises, do you even talk about AI? Do they even need to know?

A That's a great question. Um, we've run into one case where our champion said, um, this, in this room, Don't mention machine learning or AI at all, and I think that's, that, that's rare, but that, that certainly still happens. Um, I would say that a lot of, uh, large regulated enterprise just is skeptical. Um, they're well aware of the hype, and they can also kind of feel just how far away it is from their own day-to-day reality, and so, as you can see by the, um, the way that we talk about the solution, Uh, we have to come at it from a very solution or a business impact focused approach, and the algorithms that we're really impressed with and didn't get a chance to talk about tonight are inconsequential in that, in those rooms.

AI assessment note: “we have to come at it from a very solution or a business impact focused approach”

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