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 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.

clear all ✕
1exchanges match
1on raw tape
0redirected or not addressed
Partly raw tape D 3 · C 4 · P 4 · Cm 4 3.70

Q somebody who participates in the ecosystem, kudos to you both. It's incredible, this contribution to the future of AI. But Sam, talk to us a bit about the importance of the, the choice around health and, and resilience, and then help us understand how do we make sure that you get maximal benefit without it getting weighted down, as we've seen with so many nonprofits with its own political biases?

A Yeah, first of all, The best way to create a bunch of value for the world is hopefully what we're, we've already been doing, which is to make these amazing tools and just let people use them. And I think capitalism is great. I think companies are great. I think people are doing amazing work, getting advanced AI into the hands of a lot of people and companies that are doing incredible things. There are some areas where the, I think, market forces don't quite work for what's in the best interest of people, and you do need to do things in a different way. There are also some new things with this technology that just haven't existed before, like the potential to use AI to do science at a rapid clip, like really truly automated discovery. And when we thought about the areas we wanted to first focus on, clearly, if we can cure a lot of disease and make the data and information for that broadly available, That would, that'd be a wonderful thing to do for the world. And then on this point of AI resilience, I do think some things may get a little strange and they won't all be addressed by companies doing their thing. So as the world has to navigate through this transition, if we can fund some work to help with that, And that could be, you know, cyber defense, that could be AI safety research, that could be economic studies, all of these things, helping society get through this transitio…

AI assessment note: “And then on this point of AI resilience, I do think some things may get”

page 1
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 40 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.