Jeffrey Ladish

speaker

1,006 appearances 1 recordings 1 series first heard Apr 2025 last heard Apr 2025

Jeffrey Ladish’s voice in public audio — every appearance, attributed to the second.

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"The Cognitive Revolution" · Reward Hacking by Reasoning Models & Loss of Control Scenarios w/ Jeffrey Ladish of Palisade Research, from FLI Podcast · 2 Apr 2025 podcast

Okay, these things are actually smart.

Okay, this is I need to s I need to reorient.

And I think that was when I first realized that like

at a visceral level that, oh my God, scaling works.

You can just take GPT two, you can just throw in more data and more compute, and you actually get out intelligence.

And so I think where we're at right now is this playing out several years later, right?

Which is the AI systems are actually getting smart.

The models want to learn.

You throw in more data, more compute, you know, some more met you know, there's there's various methods that you you use.

I think it's but but basically it's these pretty simple architectures scaled up that are getting more intelligence.

And so where I think we're at right now is we're very close to AI systems that can do everything a human can do, including strategic capabilities.

That that means hacking, that means deception, but also sort of long term planning and execution.

And I'm like, this is these are the kinds of capabilities that are most dangerous in my in my view.

And so I think we are very close to building AI systems that we we don't know how to control, we won't be able to control.

And so in

In my view, if we want to actually realize the benefits of AI, we need to not build the particular kinds of systems that are highly strategic and capable of of overwhelming us.

And I mean, I I think another thing in terms of, you know, how close we are is when I talk to people who are at the labs right now, they say, you know, we're not that far out from AI systems that can do fully automated AI R and D, that can that can do the same research and same development that that

you know, people inside the labs are currently doing.

And this is significant to me because there's only a few hundred people inside each of these labs that are actually contributing to frontier AI development.

But if you have fully automated AI systems that can do the same research, then that population of sort of frontier researchers goes from a few hundred to many thousands to possibly millions.

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