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 →

Colin Angle 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.

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Answered produced feed D 5 · C 5 · P 5 · Cm 5 5.00

Q Yeah. So, I mean, so given all of that, how, how were you actually going to become a real business? Like, how are you going to come up with a sustainable model?

A The breakthrough for us actually was a business model that we discovered. We would come up with a, a way of working together where I would work at cost. I would work at break even, but since I wasn't making any money, We would split the value that we ultimately created. For this big company, this is nearly free. They were getting MIT engineers working on a problem that they cared about at a third the price, and they only had to care about this value sharing thing if something good came out of it, and they would own the IP they brought to the party. We would own the IP that we brought to the party at any IP That was jointly developed, was jointly owned.

AI assessment note: “The breakthrough for us actually was a business model that we discovered.”

Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q And what, what did they want the baby doll to do?

A Well, what did I want it to do? Yeah. Because we were pitching the idea. See, we wanted to make a baby doll that was actually alive, and we were going to go and use artificial intelligence to make a toy that could detect how it was being played with and play along and, and make it magical. And so that if you rocked The baby, and the baby would say, hey, I'm being rocked. I guess I should be sleepy, and I could go do a napping play pattern, or if you're feeding it, okay, I should do a feeding play, play pattern. Um, it was really cool. It came out in, in 1999, and called My Real Baby, and we sold 150,000 of them, I think, and they introduced us to low-cost manufacturing, and so did we make any money out of it? We got our costs covered for three and a half years, but we learned how to make low-cost robots.

AI assessment note: “detect how it was being played with and play along and, and make it magical”

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