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 →

Hamel Husain 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 4 · C 4 · P 4 · Cm 3 3.85

Q Yeah. Uh, I would say, so Hamo, this is like your second time Kind of doing this. The first time was, I think, the most successful Maven course ever. What have you, what are you doing again from last time, and what are you doing differently?

A Yeah, it's mostly, what am I doing differently? Because, like, first time, it was a course that started, it was about LLM fine-tuning, mostly, like, open models and stuff, and it kind of morphed into just It was a pile on a lot, a lot of people, a lot of excitement and, you know, I invited my friends and like one thing led to another and then I was like, let's, and then it became like a conference. Yeah. Which was not intentional, but it kind of, we just went with the flow of what people wanted. This time we're going to stay really targeted towards evals, because we really want to teach the subject. We don't want it to become a carnival, let's say. You know, we want it to be, hey, like, we're really interested in teaching people evals. We've been writing about it for so long that, you know, we want more information, you know, this, like, curated information. I think, like, yeah, what I learned from last time is, you know, It just, you know, the, it's mostly, like, the sort of logistics of doing a course, which, you know, basically, like, how did, you know, how did, so I'm starting earlier, um, last time was just sort of by the seat of my pants, so.

AI assessment note: “This time we're going to stay really targeted towards evals, because we really want”

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