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 →

Lila Ibrahim 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
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Answered raw tape D 4 · C 4 · P 4 · Cm 3 3.85

Q for learning and then Google deep mind started to pursue it. Uh, how much of what Google deep mind works on is You know, top down versus bottom up, uh, a way that I've heard opening. I described the way that it works is like a bunch of different startups within a larger company. Is that a similar way that Google operates or does it come more from the top?

A Well, I, you know, because our mission is so ambitious, you know, we're really trying to understand what are the big challenges where AI can help us unlock our understanding of the universe around us and solve some of humanity's biggest challenges. And it's a broad enough that we can do things like how do we do weather exploration and try to predict weather for, you know, weather forecasts. Um, how do we do alpha fold and protein structure prediction to help us better understand diseases so we can come up with better therapeutics. Generative AI. How can we continue to improve that to make people's lives better? Um, so again, we take a very broad portfolio perspective, but we allow the space for researchers to explore. And that's really what I meant in the beginning of like, you've got, we've got to find the right talent. So mission driven culture and values aligned people who want to have this type of, uh, exploration and a big impact and scale that we can have being part of Google. Um, So I would say some of this is, DEMIS is quite remarkable in terms of His thinking in this space because he's been doing it for so long, right? DeepMind was founded 16 years ago. It's been kind of a lifelong mission of his, and yet we have an organization full of people who are creative, who like to work in an interdisciplinary environment, who want to have impact in this world. So they also com…

AI assessment note: “we take a very broad portfolio perspective, but we allow the space for researchers to explore.”

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