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 →

Will Marshall 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.

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1exchanges match
1on raw tape
0redirected or not addressed
Answered raw tape D 3 · C 4 · P 4 · Cm 4 3.70

Q And the, the story's changed as well, obviously with SpaceX going public, but has the framing of Planet gone from like a data source for people who need data from space and maps to, hey, this is a tool to accomplish tasks And military, like post Andrew's success, like you probably would have been bucketed into Andrew as a military tech company. So is that framing what's driving a lot?

A I think it's a bit more nuanced than that. I mean, firstly, for the audience's benefit, what planet does, we have satellites doing earth imaging. We have the largest earth imaging fleet, about 200 satellites. They image the entire earth every day. So think of it like the Google, uh, satellite lay on Google maps. That you can look at, except it's today's date rather than three years old, and we have every day going back, so it's a time series analysis of everything going on on the earth. That's useful for farmers, it's useful for energy companies, it's useful for civil governments, for flooding and fires, it's useful for security applications like you're getting at, and it's a wide variety of use cases. Um, I think that where we're seeing this is that AI is now enabling the, it's basically reducing the barrier to entry so that more people can get access to this, right? And, uh, you know, there's a lot more to say on that, but AI is only as good as the data it's trained upon.

AI assessment note: “security applications like you're getting at, and it's a wide variety of use cases”

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