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 →

Mark Johnson 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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1exchanges match
1on raw tape
0redirected or not addressed
Answered raw tape D 3 · C 4 · P 2 · Cm 3 3.05

Q Very nice. Um, so the, the, the flywheel effect that you described that involves training the algorithm, right? You get more and more data and the algorithm gets better and better. Uh, how does that apply to what you guys do? So for example, give maybe the example of the corn model that you described.

A Well, I think one of the ways that, um, that this has been effective is, um, as we partner with customers. So, um, taking the data that, or taking the models that we built out in the real world and then combining that with their data, um, you get a much richer model. So, uh, one of the things about, um, industrial companies with supply chains is they probably track data. They have assets, um, uh, all over the country or the planet, um, and you can use the data from those assets to help that flywheel get going. Um, and again, I think that, uh, even physical businesses will start to expand and use more data from their network to improve.

AI assessment note: “use the data from those assets to help that flywheel get going”

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