Podcast Episode

The Case Against an AI Pause | Eddy Lazzarin

The a16z Show
Episode 1209Sep 24, 202628 minEN

Who’s talking

3 speakers
Eddy Lazzarin18 min · 67%
Theo Jaffee8 min · 29%
Speaker 31 min · 4%

Transcript

120 turns · 28 min
EL
Eddy Lazzarin0:00

The AI debate increasingly asks us to consider the probability of doom. Eddie Lazarin thinks we should also be asking about the probability of abundance. In this episode, a16z crypto general partner, Eddie Lazarin, joins Theo Jaffee on MTS to debate AI safety, the calls to slow development, and what we risk giving up when progress is delayed. They discuss why Eddie sees many of today's AI incidents as cybersecurity and control problems rather than signs of super intelligence, and whether existing tools like liability, reputation, market incentives, and better technical controls can make increasingly capable systems safer. They also get into independent AI evaluators, effective altruism, and what happens as debates that largely developed inside Silicon Valley collide with a much broader political conversation.

TJ
Theo Jaffee0:50

All right, we're back. We are live with Eddie Lazarin, who's a general partner at a16z Crypto, and one of the internet's strongest soldiers, strongest advocates of open source, of, uh, AI accelerationism-

EL
Eddy Lazzarin1:04

Yeah. [laughs] Oh my God, dude

TJ
Theo Jaffee1:05

... and of techno-optimism.

EL
Eddy Lazzarin1:06

Yeah, that's true.

TJ
Theo Jaffee1:06

Eddie, welcome to MTS. In the studio.

EL
Eddy Lazzarin1:08

Thanks very much. Um, it's amazing here. The energy's incredible. What a spot. Love it.

TJ
Theo Jaffee1:13

Yeah. So, man, where, where to start? Like, the last couple weeks have been such this like, uh, preference cascade flood of AI safetyism, effective altruism, and the like.

EL
Eddy Lazzarin1:25

Yeah.

TJ
Theo Jaffee1:25

And there have been only a few, like, good accounts, uh, offering, like, good counterarguments. So, like-

EL
Eddy Lazzarin1:34

Counterarguments on which side?

TJ
Theo Jaffee1:36

Uh, c- like, counterarguments against, like, the AI doom narrative and against-

EL
Eddy Lazzarin1:40

Yeah

TJ
Theo Jaffee1:40

... like, uh, the-

EL
Eddy Lazzarin1:42

Yeah, I think it's become very high status all of a sudden to be very concerned with safety, and I think that, uh, I think that, uh, we, we've gotten to a point where, you know, it's more important to sort of tastefully share your, your P doom, so to speak, than it is to actually examine the history of how these massive technological changes develop. Uh, and I think a lot of people are leaving a lot of very interesting concepts, a lot of interesting ideas on the table, you know? A lot of people messaged me, I tweeted the other day about P abundance, right? P abundance. I think we're putting the cart before the horse a little bit when we worry about safety before we worry about what we're leaving on the table and what the costs of delay are, and, and, and furthermore, you know, how we should conceive of accountability, conceive of safety, conceive of all the things around how to make these systems really useful. Safe- Being safe is critical, right? Like, we, w- Any industry needs to take responsibility for making its products safe. Uh, but it's definitely the case that the conversation isn't about safety in the typical manner, right? It's about something else. It's a blend of genuine cybersecurity concerns, uh, sort of philosophical millenarian arguments about the end times. Uh, there's a bunch of things in the mix, and they get a little bit confused, and so I think picking them apart is really useful.

TJ
Theo Jaffee3:07

Hmm. So, like, where, where do you get off the, like, AI doom argument? You know, it's, it's like a... There's a pretty standard, like,

Episode notes

a16z crypto General Partner Eddy Lazzarin joins Theo Jaffee on MTS to debate the increasingly prominent calls to slow AI development and whether the current safety conversation is conflating very different kinds of risk.

Eddy argues that the debate puts too much emphasis on speculative superintelligence and not enough on the costs of delaying useful technology. Rather than treating every AI failure as evidence of an alignment problem, he makes the case for familiar tools like cybersecurity, accountability, liability, market incentives, and stronger technical controls.

They also discuss whether AI models can develop reputations for trustworthiness, the risks of concentrating oversight among a small group of evaluators, and why Eddy thinks the collision between Silicon Valley’s AI debates and broader politics could fundamentally reshape the conversation over the next year.

Resources:

Follow Eddy Lazzarin on X: https://x.com/eddylazzarin

Follow Theo Jaffee on X: https://x.com/theojaffee

Follow MTS on X: https://x.com/mtslive

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