We built a language model for biology.

The big problem in biology is that biology is hard.

biology is really hard.

biology is very hard.

So why are you doing it?

What is the big win?

I mean, all of it is an AI-enabled architecture.

Every part of our technology stat is intrinsically AI-enabled.

Where do you think this a confidence between AI and life sciences goes from here?

There's so very few people who actually have the language of both disciplines that are able to

bring them together.

If you are a listener to this podcast, you're probably familiar with Moore's Law, where the number of transistors on an integrated circuit

has doubled every two years. But what you might not know is the cost of sequencing the genome

has fallen even faster. Since the Human Genome Project in

2003 the cost has fallen from about $1 billion to less than a thousand today. And now in 2023 these two trends meet and

one of the people at this fascinating intersection is Daphne Coller. Daphne, longtime professor in computer science at Stanford

and co-founder of Corsera, has decided to step back into the arena

with her company in Citro, right at this intersection of computation and biology. In fact, the name is even a nod to this

intersection as a blend of in silico and in vitro. And in today's episode, you'll get to hear in

And in today's episode you'll get to hear A16Z

bio and health general partner, Vj Ponde speak with Daphne about the wine now

But also how machine learning is fundamentally changing our ability to

...