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 →

Matan Grinberg 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 So we have a very difficult question for you today. What is your hottest take?

A My hottest take is that in the next 12 months, 90% of tokens will be going to open models. Um, now, not all the tokens, and maybe not the most important tokens, but I think, uh, you know, big token has been spewing some propaganda against Chinese models, which is, you know, how they're labeling the open models, um, and I think in fact these open models are incredibly performant, incredibly cheap, incredibly fast, And there is going to be an important use for them in kind of the portfolio of models. I think still the frontier clothes models will have a place, but I think that place will be shrinking at least in token share. Maybe not in cost, but in token share.

AI assessment note: “My hottest take is that in the next 12 months, 90% of tokens”

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