Dr. Richard Moulange

speaker

1,784 appearances 1 recordings 1 series first heard Mar 2026 last heard 31 Mar

Dr. Richard Moulange’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Mar 2026 with 1.

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80,000 Hours Podcast · #241 – Richard Moulange on how now AI codes viable genomes from scratch and outperforms virologists at lab work — what could go wrong? · 31 Mar 2026 podcast

First off, you said, yeah, access controls, manage access won't last because it'll be obviated by open source tools that anybody can access.

You're right that this is the current paradigm.

But I'm not sure whether this will hold forever.

If AI systems are eventually a mechanism by which to turn compute into, in some cases, hard power, into national security advantage, it is not obvious to me that forevermore all of these systems can just be released publicly.

There is a reason that, say, nuclear technology is more carefully controlled than other types of physics.

And so I'm not saying that that is absolutely the thing we need, but we should be open to the possibility, especially if there were, you know, I don't want this to happen, but if there were an AI enabled biological event and attack, this might make people sort of reevaluate and go, okay, well, where is the risk reward trade off?

Have we got that right yet?

Because I really don't think we do.

Second, guardrails, I think this again comes back to open weight models.

You're absolutely right.

Open weight models, it is not easy to put safeguards on them.

There are some strategies.

We can, I think, talk a little bit more about that later.

But generally, it's just exceedingly difficult to do it.

However, you sort of said, I want to push back on the idea that guardrails themselves on even the closed weight models are just always going to be insufficient.

I'm not sure necessarily you were saying that, but I have heard this.

Yeah.

I think guardrails on close weight models are something like the classic triumvirate of they're terrible.

They are much better than they used to be.

They can yet be much better still.

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