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 →

Alex Bates no published score: no usable exchanges 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
0on raw tape
0redirected or not addressed
Answered produced feed D 4 · C 5 · P 4 · Cm 4 4.30

Q Again, so, so a guy like you, I believe is driven by like, where can I learn the most, right? So you sense that maybe you're learning and plateaued for some reason at MTEL, you sell it. Now you're integrating at Aspen. Is that the case? And why did it plateau? What pivot would you had to make if you stayed, if you stayed private?

A Great question. Yeah, I learned a lot about IoT. It was really machine learning for machines, heavy industry. Wasn't my background. My co-founder, Paul, was the mechanical engineer. So for me, it was a fascinating vertical play for machine learning, and so I definitely learned a ton about that industry and, and the ability to have an impact in terms of stopping these environmental spills and catastrophes, I felt like was great. But yeah, I mean, after a decade, I think My interest was now, um, artificial general intelligence and the really the next big evolution and maybe other verticals and industries to apply it. And so it was partly that kind of curiosity as you alluded to that made me ready to move on.

AI assessment note: “it was partly that kind of curiosity as you alluded to that made me ready”

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