Nathan Labenz: belief

Transcript context

…I think knowing when the models are making you better or worse at decision making is actually pretty subtle. And I think not that many people are paying close attention to it. I am reminded of the, now from a while back, the meter study where engineers thought they were being made more productive, but actually at a slight discount relative to unassisted work. And there was an engineering, probably no longer true in engineering, but I could imagine that for more complex decisions if you're not paying attention. Sometimes using the models like regresses you to the mean or like cuts off avenues of investigations and at other times it opens up the space and makes you think more clearly. And so I find it helpful to just introspect, am I actually getting benefits here or how is this changing my behavior? And so thinking about that and sharing it with the world does seem to me like just a clearly not good thing. Yeah. For the time being, we still have some agency over this process, and I think that's a great reminder to maintain an ownership mindset and hold ourselves accountable to doing our very best work and not getting lazy and letting the AIs lead us around. Excellent. Zheng Wang Yun and Andreas Schulwaler, founders of Elicit, thank you again for being part of the cognitive revolution. Thanks, Nathan.…

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