Gavin Uberti - Real-Time AI & The Future of AI Hardware

**Patrick O'Shaughnessy** (0:00)
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Hello and welcome, everyone. I'm Patrick O'Shaughnessy, and this is Invest Like the Best. This show is an open-ended exploration of markets, ideas, stories and strategies that will help you better invest both your time and your money. Invest Like the Best is part of the Colossus family of podcasts, and you can access all our podcasts, including edited transcripts, show notes, and other resources to keep learning at joincolossus.com.

**SPEAKER_2** (1:57)
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**Patrick O'Shaughnessy** (2:26)
Last week, we heard from 99-year-old Charlie Munger on the show. Today, my guest is 21-year-old Gavin Uberti, who dropped out of Harvard to build Etched, which is one of the most fascinating companies I've seen recently. The topic of our conversation is the ongoing revolution in artificial intelligence, and more specifically the chips and technology that powers these incredible models.
To date, general purpose AI chips like Nvidia GPUs have powered the revolution. But Gavin's bet is that purpose-built chips, hard-coded for the underlying model architecture, will dramatically reduce the latency and cost of running models like GPT4. Gavin thinks that we're about to embark on what he calls the largest infrastructure buildout since the industrial revolution, and I won't spoil what he thinks this will unlock for all of us.
It is so uplifting to me that someone so young can be working on something so big. Please enjoy this great conversation with Gavin Uberti.
Gavin, it's really hard to know how to tackle this enormous topic, but you've become one of my favorite people to learn about the future of artificial intelligence, models, hardware, software, data centers, a million things that affect tons of public equities, tons of soon to be applications. Maybe an appropriate place to begin would just be, one of your early investors told me you said this interesting line to him, which was something like, you felt like you were born too late to explore the world, but too early to explore the stars, and you were sort of depressed by this. But then maybe this whole world of super intelligence and AI allowed something in between or even more interesting than the stars. I would love to hear the origin of that reflection of yours and what you think about it now.

**Gavin Uberti** (4:03)
I strongly agree with this. One can't help but think that 100 years ago, 200 years ago, there were so many mysteries left to be solved, that low hanging fruit, so to speak. Somebody smart go into their, whatever they had instead of a garage, think for a couple of years and come up with optics or physics. You could go and explore continents.
Then as technology developed, that became no longer feasible. That stuff had already been done. And yes, you could still do interesting and novel work, but it often required going to school for 10 years before you could learn all the mathematics you needed to go do new mathematics, say, chemistry. You had to go study all that had come before. And someday mankind will go to the stars, will be able to explore other planets and that fruit will be low hanging too. But that stuff is a very expensive today. But I think AI is very unique because unlike mathematics and unlike chemistry, the field is so young that we haven't had a hundred years to develop it.