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 →

Amy Francetic 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 4 · C 3 · P 4 · Cm 3 3.55

Q So I want to talk about the different categories of artificial intelligence. Um, Amy, let's go to you. So, so Boyant was founded to invest in a lot of different kinds of companies in the, the digital climate tech space across energy industry, agriculture, uh, circular economy. How do you define that category, and where does AI fit into that?

A Sure, sure. So, I like to say that I've been in the climate space long before it was fashionable, and Boyant has been investing in digital climate From our very beginning. That was our entire focus, and we're looking for digital technologies that we define as software, including AI, and simple hardware, so we're not investing in the hard tech like a lot of the great things that are happening here at Greentown Labs. We're investing in simple sensors that are collecting unique data that the software can use to do a lot of the things that Priya just described, and I want to say, first of all, thank you so much for having me here, Stephen. When he called me and told me he was doing this, I don't think you even finished The description of what it was, and I just said, yes! I didn't even look at my calendar. I'm like, I have to be here for this conversation, because our firm was really built to do this, and you had these amazing other folks involved, and we've been reading a lot of Priya's team. Climate Change AI has done a wonderful job of researching in this space, and writing about it, and citing, which has been fantastic. Um, so just building on all that momentum, and now Seeing how much attention AI is getting, we actually have a number of companies that are using AI, and one of whom is here, um, housed in Greentown Labs, and it was our very first investment. It's a company call…

AI assessment note: “we define as software, including AI, and simple hardware”

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