SPEAKER_04

And so Stanford in the early days set up very clear lines about once you start a company and you license the patent or the idea to the company, you can still be involved with the company.

But there's not a pipeline of technology now from your laboratory to that company.

So they set up, you know, an oversight board for each of these companies.

licenses that make sure that you know the students are not being abused you know because you don't want students you don't want to be you know covertly getting your students to do something that then you're gonna walk behind a back door and then hand it hand over the company yeah you know so you know there's but it's it's so interesting that there's often very much a lot of worry that that's going to happen

But frankly, more often is the case that the company doesn't need the inventor anymore.

In fact, I can't tell you the number of times that once the company is set up, they want nothing more to do with me because they have their own thing to do.

They don't want the crazy academic coming in and vetoing their ideas.

I mean there's places for that where people like Steve Jobs needs to hold on to the image of what he wants the company to be.

As opposed to I would probably be fired from a company within a week because I just don't like people telling me what to do.

That's just a fact.

It already is.

It is.

It already is.

I mean, look at who just won the Nobel Prize last year, David Baker at Google, with the ability to predict protein structure, et cetera, and protein structure.

Once you know the protein structure, now you can predict molecules that might come into it.

So go back to the stuff that I'm trying to do with looking at the complexities of the dance of how the immune system talks or doesn't to cancer.

Right.

If we can find a particular place that might be an Achilles heel along the way towards the shutting down that is different, for instance, than what the current drugs are, well, maybe we should aim at that.

There's so many more opportunities that are suddenly opening up in front of us because the AI and the data is letting us look at a network of

of how the system is working.