Prakash Narayanan
speaker
1,048 appearances
4 recordings
1 series
first heard Aug 2026
last heard yesterday
Prakash Narayanan’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 — 4 in all, peaking in Sep 2026 with 3.
Appearances
I liked how you had basically two different approaches for data.
You had, you know, on the one side, you had let's take all the messy data, let's feed it into the machine and try to make sense of it.
On the other, Andre is like, there's just too much messy data in biology.
I'm going to build my own data collection effort and I'm going to monitor every single thing that goes in and comes out so that I know exactly what's going on.
And I think Andre probably has a good chance of solving this thing.
You need a little bit more GPU power, you need a little bit more imaging.
I think the imaging granularity is probably not there yet, but you can definitely see if they manage to scale a little bit more.
The real question is like,
Do you need to do 3 billion samples, 30 billion samples a year?
Do you need to get everyone genetics?
Or are you going to get, is your scaling going to be able to get you to a point where at 30 or 300 million or wherever, it just starts to generalize a lot more and you stop needing so many different samples?
I agree.
It can learn it all, but I think the –
uh learning it all at the most efficient compute rate and like and and inferring at the most efficient compute rate which is what you alluded to with the distillation i think that's the that that doesn't happen right so the energy efficiency is a is kind of key because the energy efficiency means that you have like this diminishing returns curve as an economics for getting bigger okay the doomer scenario is less likely to happen
Because you will get a more intelligent model, but it's going to be less efficient to start out with.
And it's going to be more energy consumptive.
And that means that it's going to need more energy expansion to get there.
But the other models are going to be more efficient and more numerous.
But I think the Singleton example, I think, is not likely to happen.
Pe people are gonna use this thing.
Showing 101–120 of 1,048 · page 6 of 53
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