Richard Socher

I see all these like use cases where people like get access to goods and services that they couldn't afford before, or we save millions of animal lives and so on.

That's what I see when I think about AI all the time.

And that's what inspires me for AIX.

And then a lot of times it's just like working in research and AI, you can see the applications of it a little bit earlier too than most.

That's exactly right.

Yeah.

We now provide web search APIs for enterprises so they can make their LLMs, their chatbots, their agents be up-to-date, accurate, and have citations.

Of course, yeah.

We were initially a consumer company and we had the most accurate answers when Google was still telling people to eat rocks or put glue on pizzas.

We had way fewer hallucinations, almost none before anyone else, but it just didn't quite click with consumers.

The branding, the marketing wasn't quite there.

And so eventually we found that

who really cares about the technology.

It's developers who implement the technology and they just want to get the best version, the best API for their LLMs.

And that's how we really started taking off and made a lot more revenue and are growing really healthy now.

I think we have a shot here at building sort of in the David Deutsch sense of the beginning of infinity, like an ultimate eureka machine that has this open-ended way of exploring the frontier of knowledge and really help people.

become this invention generating machine.

And I think that will be exciting first for AI and the field of AI, but eventually for energy and better fusion systems, better battery materials for, you know, in chemistry, then

especially preclinical biology, like developing new kinds of drugs and molecules.

Like there's so many exciting applications once you have this machine that, you know, it's not just at the level of a bachelor's, but sort of 5,000 PhD degrees that like all went and are now researching a particular problem for you.