Michael Kratsios

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The idea that you can have autonomous cloud labs running experiments on a loop without human intervention, testing hypotheses, running the experiments, seeing the results, creating a new hypothesis, testing it and running it, and ultimately getting to a conclusion, that is in our sights.

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If you are working on material science, if you are working on pharmaceuticals, if you are working on chemistry, you in 2 3 years or even today are doing your role as a scientist dramatically different because of artificial intelligence.

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Over time that has sort of inverted completely. The private sector plus philanthropy now do about 70% of R&D and the and the government only does about 30.

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I think it's the most obvious sort of like in your face example of technological stagnation. We had the Concorde flying years ago. We're flying slower than we were back then today. Absolute tragedy.

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born free technologies are ones where there aren't regulations on the books. Things of like the internet when it just started. And those are the types of technologies you have to preserve.

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I think it's all about having regulatory clarity and ease for all sizes of of companies. Um and if we can work with Congress to do something like that, I think that would be that would be the biggest boon for for for startups.

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we would urge Congress to to be able to pass some sort of some sort of law around around preemption so we don't have this crazy patchwork of all these different states doing all these different things these things on AI.

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if you create a or allow for the creation of a patchwork of regulations, meaning there's one set of regulations for AI in California, another one in Maryland, another one in Texas. You know, the big tech guys, they can deal with that.

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I think people were sort of like shouting about the bio problem back in '21, '22. Hasn't been an issue for 3 years.

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the challenge with a lot of these cyber capable models is the same model that is able to sort of do something nefarious is the same model that can be very valuable in hardening an existing system.

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have to abide by this rule that was written before LLMs were even a thing. And that shows how challenging sort of the the the situation is if you try to set the line too firm to begin with.

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the answer to that really is you don't want to set very firm red lines in the sand because they ultimately don't work.

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if if DC is in a vacuum isn't hearing anything from the startup ecosystem or even from big tech ecosystem or even from financial services or all these different industries, we can't make the best decisions.

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if the US wants to lead in artificial intelligence, we have to have a vibrant closed and open source ecosystem, and that's the only way they can all work together.

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these decisions are extraordinarily federated. There isn't just like one or two people in the White House who decide something.

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no matter what kind of industry you're looking at, there was this government angle where the government's policy actions could be ones that could actually unlock technologies.

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I think there is there is um no place where you can work on bigger problems than the US government. Even at the the biggest tech companies in the world, you're never going to be dealing with problems of this of this scale.