Brandon (Host)

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390 appearances 3 recordings 1 series first heard Jun 2026 last heard 16 Jul

Brandon (Host)’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 3 in all, peaking in Jul 2026 with 2.

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Latent Space: The AI Engineer Podcast · 🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences · 16 Jul 2026 podcast

So when you say the infinite token generator is still there, what do you mean by that?

Because there are many different scientific tokens you can imagine, and some tokens provide much more information than others.

And certain things you can collect maybe at scale, like people who love NGS, you can basically collect an infinite amount of NGS data.

And yet there are certain cases where, you know, another human genome is probably going to be, you know, an incremental update versus, you know,

Yeah, that's a good one.

I think half of the audience might not know what a PCI bus is.

Okay.

Do you have your AI models doing entire like experimental designs, which are beyond just a pre-existing protocol where you tweak like relative ratios or sources from or like what, you know, oligos go into a pipette or something?

So when you're giving your AI models kind of free reign to start designing new experiments, how do you make sure that these are things that should be measured or that you validate that this is a good strategy or that you didn't just waste a bunch of money?

only it's absolutely for real in a lab automation setting where you're working on some you know biophysical material science type problem what are actually the dangers you have to worry about there's like i generally think of malicious actors um and or you know situations where you have a sufficiently complicated system that it could genuinely output something dangerous it seems like from the scope of lila as i understand it which we haven't talked about yet maybe it'll

I do want to get to the, Lila is not a biotech, but before we do, one last question along this train, thought train.

RL is famous for reward hacking.

You just, I forget what you said.

I don't know if you said you were using RL, but, or, you know, learning iterations.

I would be very concerned that, you know, you throw some rewards and that you can really hack the, you know, physical sciences in a way that you can't do with a compute.

Yeah.

I'm not going to disagree with that.

A hundred percent agree with that.

What's the funniest example?

So, you know, Lila is not a biotech company.

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