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 →

Jitesh Gai 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 5 · P 4 · Cm 4 4.60

Q Here's an interesting thing that Larry Ellison said recently. He talked about how AI models are rapidly commoditizing because most are trained on the same public internet data, which I think we agree with. He said, This makes exec exclusive proprietary proprietary data sets a real competitive Moog. What do you think about that?

A A hundred percent. I think, um, what is truly novel and unique Is an enterprise's data. It's their data. It is a living record of their enterprise, its decisions, its actions, its operations, and through it, you can get, you can realize enterprise context for that bespoke organization. This is not information that's available to the frontier labs. This is not information that's, that's available beyond the boundaries of your organization. Now, if you can find the right mission critical data with the requisite quality and apply the models and the compute for the appropriate business case, that's when you can get transformative outcomes for your organization. And the good news is you have the data. But you need to ensure you have the appropriate technologies for governed compliant use of your enterprise content, your unstructured data, as well as your structured data.

AI assessment note: “A hundred percent. I think, um, what is truly novel and unique Is an enterprise's data.”

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