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 →

Ed Niedermeyer 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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1exchanges match
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Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q How big of a deal is the shutdown and subsequent sell-off of the component parts of Argo AI, how big of a deal is that for this space, both in terms of investment flows and our perception of the technology?

A Um, it's a very big deal. But I think, again, it's really important to take the right lessons from things, right? One of the most important lessons from it is that the venture capitalists, you know, got a lot of people very excited about this, this vision, right, of, of what autonomous vehicles could be, which was different than cars, and yet they also sold these companies, passed their bags, so to speak, to the car companies. Um, and I think that's why people say, you know, well, it's a failure of the technology because of, you know, the technology had to be so good that it would actually disrupt these car companies, which is certainly why they invested, or one of the reasons they invested, um, The, the technology that exists today is not up to the task of automating general purpose driving like we do with cars. We can't automate the way we drive cars because it is a multiplicity of tasks. It's, it's in a multiplicity of domains. Like it's just, it's just way too much. Um, and so the technology certainly failed if that was the expectation. And, and, and it makes perfect sense that, that again, that car companies are not going to continue to invest A billion dollars a year to eventually get to the point where we can have these robust ecosystems of, you know, robotic mobility infrastructure, whether it's improving public transportation or, or shuttles or delivery or semi trucks …

AI assessment note: “Um, it's a very big deal. But I think, again, it's really important”

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