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 →

Professor Jonathan Hurst 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 We have a company I invested in Cafe X, and it is a robotic arm, makes a cup of coffee perfectly every time, can draft a beer, all that stuff, but it had to be manually coded. Now, the instruction set, because of perception, because of language models, having trained on every video on the internet, every coffee recipe, that also seems to be for free. Am I wrong, or?

A Not yet. It's actually quite different. So language models, think of it like it's a, it's now becoming kind of a commodity, like the internet. It's available to everybody. It's this amazing rising tide, but these language models are trained off of the entire data on the internet. And that data does not exist for robot control. You know, what's the example for your robot of all the torques, all the torque commands to every motor, given all the sensor input? There's no training set of data, so you have to generate and create that somehow, and there's a lot of different approaches and ways people are going about this, and some of these AI tools, again, think of AI not as a black box, but as a big tent of many different, very different, useful computational tools.

AI assessment note: “Not yet. It's actually quite different. So language models... that data does not exist”

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