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 →

Reid Hoffman no published score: only 2 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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2exchanges match
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Partly raw tape D 3 · C 3 · P 2 · Cm 2 2.60

Q had Incredible, um, growth. You, you were involved, of course, with OpenAI since, since the beginning. When we look for the next few years, um, he's brought a question as to whether scaling laws will hold, whether sort of the limitations, um, or how far we can get with, with LLMs. Um, do we need another breakthrough of a different kind? What is your view on some of these questions?

A So, one of the things we, you know, we all swim in this universe of extrapolating the future, one of the things that's great about Silicon Valley, and so you get such things as, you know, theories of singularity, theories of super intelligence, theory of exponential getting to super intelligence soon, and what I find is usually the mistake in that is not the fact that extrapolating the future, that's smart, and people need to do that, and far too people People do. I think I remember liking your post and helping promote it if I recall. Um, but it's the notion of, well, what curve is that? Like, if it's a savant curve, that's different than, oh my gosh, it's an apotheosis and now it's God, you know, you know, it's like, no, no, it'll be an even more amazing savant than we have. But by the way, if it's only savant, there's always room for us. There's always rooms for the generalist and the cross checker and the context awareness and all the rest of that. Now, maybe, maybe it'll cross over a threshold or not. Maybe it won't, you know, like, I think there's a bunch of different questions there, but that extrapolation too often goes, well, it's exponential. So in two and a half years, magic. And you're like, well, look, it is magic, but it's not all magic is the, is the kind of way he's doing it now. So my own personal belief Is that, um, look, so the critics of LLMs make a mistake i…

AI assessment note: “if it's a savant curve, that's different than, oh my gosh, it's an apotheosis”

Redirected raw tape D 2 · C 3 · P 2 · Cm 2 2.30

Q had Incredible, um, growth. You, you were involved, of course, with OpenAI since, since the beginning. When we look for the next few years, um, he's brought a question as to whether scaling laws will hold, whether sort of the limitations, um, or how far we can get with, with LLMs. Um, do we need another breakthrough of a different kind? What is your view on some of these questions?

A So, one of the things we, you know, we all swim in this universe of extrapolating the future, one of the things that's great about Silicon Valley, and so you get such things as, you know, theories of singularity, theories of super intelligence, theory of exponential getting to super intelligence soon, and what I find is usually the mistake in that is not the fact that extrapolating the future, that's smart, and people need to do that, and far too people People do. I think I remember liking your post and helping promote it if I recall. Um, but it's the notion of, well, what curve is that? Like, if it's a savant curve, that's different than, oh my gosh, it's an apotheosis and now it's God, you know, you know, it's like, no, no, it'll be an even more amazing savant than we have. But by the way, if it's only savant, there's always room for us. There's always rooms for the generalist and the cross checker and the context awareness and all the rest of that. Now, maybe, maybe it'll cross over a threshold or not. Maybe it won't, you know, like, I think there's a bunch of different questions there, but that extrapolation too often goes, well, it's exponential. So in two and a half years, magic. And you're like, well, look, it is magic, but it's not all magic is the, is the kind of way he's doing it now. So my own personal belief Is that, um, look, so the critics of LLMs make a mistake i…

AI assessment note: “one of the things we, you know, we all swim in this universe of extrapolating”

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