Dario Amodei

speaker
1,812 appearances 10 recordings 8 series first heard Oct 2024 last heard 12 Jun

Dario Amodei’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
3 · Apr OctJan 26AprJulnow

Recordings per month over the last 12 months — 8 in all, peaking in Apr 2026 with 3.

Appearances

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Like early in our training, these things are often unpredictable, and then we shape them.
We address problems one by one.
So I have more of a...
not a fatalistic view that these things are uncontrollable, not a, what are you talking about?
What could possibly go wrong?
But I like, this is a complex engineering problem.
And I think something will go wrong with someone's AI system, hopefully not ours, not because it's an insoluble problem, but again, this, and this is the constant challenge because we're moving so fast.
So a couple of points.
Right now, the agents don't learn continuously, right?
And so we just deploy these agents and they have a fixed set of weights.
And so the problem is only that they're interacting in a million different ways.
And so there's a large number of situations and therefore a large number of things that could go wrong, but it's the same agent.
It's like it's the same person.
So the alignment is a constant thing.
That's one of the things that has made it easier
Right now, separate from that, you know, there's a research area called continual learning, which is where these agents would kind of learn during time, learn on the job.
And obviously that has a bunch of advantages.
Some people think it's one of the most important barriers to making these more human-like, but that would introduce all these new alignment problems.
So I'm actually a skeptic that continual learning is necessary.
We don't know yet, but is necessarily needed.
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