Brandon (Host)
speaker
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 · last 12 monthsRecordings per month over the last 12 months — 3 in all, peaking in Jul 2026 with 2.
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And oftentimes the amount of transfer you see is
Small.
Yes.
The economic model underlying.
What scaling in general?
For both bio and materials, like oftentimes there's this huge gap
a huge process like once you have something which is you consider final like a ind or development candidate yeah for for material like there's still usually like 10 years of clinical trials or you know qualification in the material science world to just get that into a product and yeah
Oftentimes, the bottlenecks there are things about scale manufacturing, about regulatory, about safety, and things that are oftentimes just very hard to answer up front.
So every time you do this, you just have to, you know, roll a die.
And there is the typical if you will deal with this is, you know, essentially a portfolio model.
You know, financing wise, it's very much, you know, the only way you can make money is if you scale with some level of like, you know, risk calibration.
Yeah.
You know, it's really exciting to hear that you can do these things specifically, but how does it feed into the larger thing where even if you solve these problems immediately, it's still only 10% of the problem?
The reason why U.S.
I see.
So you have Ken Stanley on your team.
He famously wrote the book, Why Greatness Cannot Be Planned.
And is very big on open-endedness and serendipity in ML research.
So what is the role of open-endedness at LILA?
uh yeah that's like an insanely hard thing to do um but that is the that's the end point that we that we're we're trying to work backwards from what problems do you need to solve on the way to that like that end point so this goes back to my previous question though about like the runtime of your experiments too because scaling means different things and one of them is experimental design which intrinsically scales but maybe at the cost of signal noise ratio
Showing 61–80 of 390 · page 4 of 20
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