Jun 22, 2026 · 1 hr 12 min · 11 segments
Yossi Matias, Vice President at Google and Head of Google Research, joins host Logan Kilpatrick for a wide-ranging conversation about what it means to do research at Google scale. Their conversation…
Yossi MatiasGuest
Logan KilpatrickHost
This is, first, the most exciting time to be in technology, and the most exciting time to do research.
What is the next thing that could actually make a big difference from reality, and requires, actually, to move the state-of-the-art? Essentially driving the breakthrough research and applying it to reality, something I like to call the magic cycle of research.
It's a cycle, by the way, because once we bring it to reality, it actually creates the next question.
So many of the things that currently we're so proud of are actually started out by actually asking a question, and making some progress, and having the research, and publishing it, and then applying it, and asking the next question.
In fact, with AI, both the research itself is accelerating and, and we're actually having our share and actually help it accelerate.
And one important characteristic of Google Research is that we're both doing the transformative research, the breakthrough research, but also the same organization, same teams are also working on bringing it to reality to have impact on products, on science, on society.
When we look historically, actually, some of the greatest mathematicians, scientists were actually motivated by these kind of questions.
In many cases, they were actually very much doing it, right? I mean, Alan Turing, one of my heroes, all-time heroes, was not only setting foundations for computer science, he also built a computer.
This is, first, the most exciting time to be in technology, and the most exciting time to do research.
What is the next thing that could actually make a big difference from reality, and requires, actually, to move the state-of-the-art? Essentially driving the breakthrough research and applying it to reality, something I like to call the magic cycle of research.
It's a cycle, by the way, because once we bring it to reality, it actually creates the next question.
So many of the things that currently we're so proud of are actually started out by actually asking a question, and making some progress, and having the research, and publishing it, and then applying it, and asking the next question.
In fact, with AI, both the research itself is accelerating and, and we're actually having our share and actually help it accelerate.
And one important characteristic of Google Research is that we're both doing the transformative research, the breakthrough research, but also the same organization, same teams are also working on bringing it to reality to have impact on products, on science, on society.
When we look historically, actually, some of the greatest mathematicians, scientists were actually motivated by these kind of questions.
In many cases, they were actually very much doing it, right? I mean, Alan Turing, one of my heroes, all-time heroes, was not only setting foundations for computer science, he also built a computer.
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