Michael Kratsios
๐ค SpeakerAppearances Over Time
Podcast Appearances
So that could be a big step.
Material science is also a very big area where you want to be able to test all types of different molecules and interact with each other.
This is important for all the big things we're trying to do in space, whether it's our lunar base or getting to Mars or bringing nuclear energy to space.
Having advanced material science is important.
And the third is one that everyone always cares about is health care and therapeutics.
How can you more quickly be able to identify the best molecules to solve a particular particular health challenge?
And how do you more quickly iterate to a point where you can move to a to a clinical trial?
I think some people, I think it's easy to underestimate the long-term impact this is going to have across so many industries and domains.
I think very much, you know, it's easy to quickly think about AI as just a sophisticated chatbot because that's what most people interact with every day and that's what they touch and feel.
But I think that to me, I think the long term impacts and not to keep harping on the science, I think there is a there's a real fundamental shift happening in the velocity and pace that we can test and and evaluate and execute scientific discovery and endeavors.
And I think I think it's going to have huge repercussions for the way that we as a country innovate, broadly speaking, the years ahead.
Yeah, I think we we need to be.
And that's why we put the plan out.
I think, you know, when I think about the China question and about the sort of larger question, how do we win the race?
What always what I always like to think about is this question of adoption.
And I think sometimes there is this overemphasis on the leaderboard.
It's like which frontier model is number one on some sort of sort of metric.
And the reality is we're neck and neck.
And as David said, we probably had, you know, six to 12 months in our frontier models.
But I think what we have seen over over time and over history is that you don't necessarily need to have the very best model or very best piece of technology in the world for it to play globally.