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 →

Francois Chadwick 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
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Answered raw tape D 4 · C 4 · P 3 · Cm 4 3.75

Q and above are much more likely to say that they're getting an ROI from AI than managers and below. That to me just suggests that people in the C-suites are drinking the Kool-Aid, and they, they are like, of course we're getting an ROI from AI, and then the people actually using this stuff and implementing the projects are telling the truth. So what do you think about that, Francois?

A In my mind, I think you've got to actually look at the results and go back to the companies and sort of ask them, you know, with what you've built in production, what are you seeing as the results? And we are, what we're seeing at Cohere with the companies we work with, we build AI tools and models for enterprises. What we're seeing is they keep coming back to the table with more and more case studies. Indeed, a customer, a large customer, a global customer we have today, Reached out and said, we built all of these things. We built four or five different case studies in the last two weeks. They're proving the ROI, and they're going to continue building and building on top of that. So I think it's, it's a continuum. It's a journey. There may be differences in how people view the results, but the journey is just one that has to be continued because otherwise companies are going to lose their competitive edge to their competition.

AI assessment note: “There may be differences in how people view the results”

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