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 →

Robert Frederick 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 3 · C 4 · P 4 · Cm 3 3.55

Q it sounds like you have many different use cases. One of them is, you know, call it a casino in Vegas, right? And, and, or maybe watching flows inside a grocery store or even cars and smart mapping, right? How do you, how do you, how do you pick a focus or can you do all these things at once with the technology and is that the right business strategy?

A So one of the things that you kind of missed or, uh, on the background, which is kind of fun, Uh, is I actually was at MIT. I did have a startup. That startup was acquired by Amazon. Um, devicetalk.com, uh, became, uh, Amazon Anywhere. Amazon Anywhere had a mission, and that mission's focus, or the focus of that mission was make it possible for anything, anyone, anywhere, at any time, on any device, to be able to access information, uh, from Amazon services. That turned into, uh, multiple different groups, but the one that I'm responsible for and the one where you can, you know, look me up and what I'm known for is, uh, Amazon Web Services. So, uh, talk about a SaaS solution and coming up with the strategy for, uh, one of the most successful SaaS, uh, offerings, uh, out there. Um, I was on the original team. I'm taking that same concepts, those same, uh, capabilities, and, um, we're getting developers to adopt, uh, customers, startups, fortune 500, fortune 100 to adopt our technology across many different verticals, just like, uh, we had adoption within the first few years of AWS. Does that make sense?

AI assessment note: “we're getting developers to adopt... across many different verticals, just like... AWS”

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