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 →

Sam Altman no published score: only 4 usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.0/5 from 4 raw tape exchanges 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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4exchanges match
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Answered raw tape D 4 · C 4 · P 4 · Cm 4 4.00

Q Which bets would you say are enablers of AGI versus which are sort of hedges against uncertainty?

A I think you could say that on the surface, Sora, for example, does not look like it's AGI relevant, but I would bet that if we can build really great world models, that'll be much more important to AGI than people think. There were a lot of people who thought ChatGPT was not a very AGI-relevant thing, and it's been very helpful to us, not only in building better models and understanding how society wants to use this, but also in, like, bringing society along to actually figure out, man, we gotta contend with this thing now. We, for a long time before ChatGPT, we would talk about AGI, and people were like, this is not happening, or we don't care, and Then all of a sudden they really cared. And, and I, I think that, so research benefits aside, I'm a big believer that society and technology have to co-evolve. It's, you can't just drop the thing at the end. It doesn't work that way. It is, it is a sort of ongoing back and forth.

AI assessment note: “if we can build really great world models, that'll be much more important to AGI”

Answered raw tape D 4 · C 4 · P 3 · Cm 4 3.75

Q I want to talk about the future of AI human interfaces because back in August, you said the models have already saturated the chat use case. So what do future AI human interfaces look like, both in terms of hardware and software is the vision for kind of a WeChat, like super app?

A So I'm solving the chat thing in like a very narrow sense, which is if you're trying to like, You know, have the most basic kind of chat style conversation. It's very good. But what a chat interface can do for you, it's like nowhere near saturated, because you could ask a chat interface, like, please cure cancer. A model certainly can't do that yet. So I think the text interface style can go very far, even if for the chit chat use case, the models are already very good. Um, but, but of course there's better interfaces to have, uh, Actually, it's another thing that I think is cool about Sora. Like, you can imagine a world where the interface is just constantly real-time rendered video.

AI assessment note: “you can imagine a world where the interface is just constantly real-time rendered video”

Partly raw tape D 3 · C 4 · P 4 · Cm 3 3.55

Q Which bets would you say are enablers of AGI versus which are sort of hedges against uncertainty?

A I think you could say that on the surface, Sora, for example, does not look like it's AGI relevant, but I would bet that if we can build really great world models, that'll be much more important to AGI than people think. There were a lot of people who thought ChatGPT was not a very AGI-relevant thing, and it's been very helpful to us, not only in building better models and understanding how society wants to use this, but also in, like, bringing society along to actually figure out, man, we gotta contend with this thing now. We, for a long time before ChatGPT, we would talk about AGI, and people were like, this is not happening, or we don't care, and Then all of a sudden they really cared. And, and I, I think that, so research benefits aside, I'm a big believer that society and technology have to co-evolve. It's, you can't just drop the thing at the end. It doesn't work that way. It is, it is a sort of ongoing back and forth.

AI assessment note: “if we can build really great world models, that'll be much more important to AGI”

Partly raw tape D 3 · C 4 · P 3 · Cm 3 3.30

Q I want to talk about the future of AI human interfaces because back in August, you said the models have already saturated the chat use case. So what do future AI human interfaces look like, both in terms of hardware and software is the vision for kind of a WeChat, like super app?

A So I'm solving the chat thing in like a very narrow sense, which is if you're trying to like, You know, have the most basic kind of chat style conversation. It's very good. But what a chat interface can do for you, it's like nowhere near saturated, because you could ask a chat interface, like, please cure cancer. A model certainly can't do that yet. So I think the text interface style can go very far, even if for the chit chat use case, the models are already very good. Um, but, but of course there's better interfaces to have, uh, Actually, it's another thing that I think is cool about Sora. Like, you can imagine a world where the interface is just constantly real-time rendered video.

AI assessment note: “you can imagine a world where the interface is just constantly real-time rendered video.”

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