Ethan Mollick
speaker
673 appearances
1 recordings
1 series
first heard Jul 2026
last heard 9 Jul
Ethan Mollick’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
And they're most effective when you treat them like people.
And your mental model sort of fits best, right?
So it's obscure.
I don't really know what it's thinking, but I don't know what most people are thinking.
I mean, despite the fact that I study people for a living and work with lots of different people, we don't really know what's going on in people's brains.
We don't really know how they're making the decisions they do.
And when you work with these systems a lot, like a clod or a chat GPT, you start to learn its foibles.
Like I know certain things will like set clod off and it'll get really anxious and then we'll restart things, anxious in quotes.
So even though you have to remember these things aren't people,
treating them as sort of obscure people with their own sets of foibles and responsibilities and things that worry them and things they're good at can be a really useful model.
And when you do that, in some ways, the fact that they're opaque feels like less of a big deal.
That may not be good though.
So I think it's worth stepping back a little first and saying organizations are machines for taking imperfect stochastic actors who are misaligned and making them work in the same direction, right?
That's literally what we do with people.
Organizations are superhuman machines for taking human input and sort of figuring out how to make it work properly.
So it's not like it's a hard problem.
Like if the AI is wrong some of the time, guess what?
People are wrong some of the time.
We can build organizations that combine AI and people to check that.
We haven't built it yet, but we could.
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