The Power of Machine Learning and Generative AI in Software Development

I am thrilled about the potential of machine learning and generative AI to accelerate software development, enabling us to accomplish tasks faster and more efficiently. Since joining Google DeepMind, I've witnessed the convergence of teams working on this cutting-edge technology, significantly boosting our efforts.

Growing Up with a Passion for Computing

My journey into computing began in a small town in Texas, where I was deprived of access to proper libraries and other resources that many take for granted. My first computer, which my mom and I rescued from being thrown away, became a source of fascination for me. I spent countless hours tinkering with it, learning how to program and play games like Digital Love Story, an interactive BBS system in the 80s. It was exhilarating to have something that could expand my horizons and provide new experiences.

The Spark of Interest in Computational Neuroscience

As I grew older, my interest shifted towards computational neuroscience, which I explored during my school days. This field focuses on creating models of brain functions using computational processes. At the time, it was an area where many researchers were trying to make progress, but there was still much uncertainty. My fascination with understanding how humans process information and accomplish tasks led me to pursue a career in this field.

A Pivotal Experience: Building Large Language Models

One of my most significant experiences was as the product lead for Palm 2, where I worked on building powerful large language models. This project marked one of the first times that we were able to release a model and provide multiple entry points for users to access it. Since joining Google DeepMind, this experience has served as a foundation for our current work.

Unlocking the Potential of Large Language Models

At Google DeepMind, I'm now building on the progress made with large language models. We're exploring ways to integrate these models into software development and incorporate AI to enhance productivity. By saving just a few seconds for each individual user, we can collectively make a significant impact on the world's productiveness.

The Democratization of Generative AI

I'm excited about the democratizing effect that generative AI is having on our field. The excitement surrounding this technology has reached an unprecedented level, making it more accessible to a broader audience. This trend holds great promise for the future of software development and AI research.

Joining Forces at Google DeepMind

Since joining Google DeepMind, I've been fortunate enough to work alongside talented individuals who share my passion for machine learning and generative AI. The combined efforts have created an environment that's both stimulating and productive.

"WEBVTTKind: captionsLanguage: enI'm really excited about the potential of machine learning and generative AI to accelerate software development to help us do the things that we're already doing just faster and more efficiently I was at brain and now since coming to Google deep mind it's like all of the teams that are doing this work are now finally in one place so it's been supercharged I grew up in a very small town in Texas removed from the hustle and bustle of the larger Texas cities I think I was most bummed that we didn't have a proper library in town so my first computer my mom and I rescued from being thrown away because nobody could quite figure out how to get it to work and I started tinkering to try to figure out how the computer would work learning how to program learning how to play the games this is Digital Love Story You're exploring this BBS system in the'80s was very cool at the time my computer was like water in a desert it's how you have something that can give you a bigger idea of the world and I was hooked and so when I went to school my admissions essay was about computational Neuroscience that's when I knew what I wanted to do with my life so computational neuroscience at the time was understanding how you could do models of brain functions using programs or computational processes that's one of the things that draws so many of us to Google Deep Mind is this yearning to figure out the way that a person thinks the way that they process information the way that they accomplish tasks so much of psychology feels very fuzzy what I really really wanted to see was more definitive answers I was the product lead for Palm 2 building a very powerful large language model this was really the first time that we were able to release a model and point to dozens of places where that model was already available for people to use and now since coming to Google deepmind it's building off of that how do we use these large language models for software development how do we put Ai and integrate machine learning into every single one of our products and when you think about it that way if you can save each one of those people just a few seconds that's making the world in aggregate so much more productive and if you're looking for impact for ways to understand how people interact with these models there is no better place to do it than Google Deep Mind one of the things that excites me the most is that the entire world seems to be caught in on the excitement of generative Ai and these tools are democratizing it in a way that we've never seen beforeI'm really excited about the potential of machine learning and generative AI to accelerate software development to help us do the things that we're already doing just faster and more efficiently I was at brain and now since coming to Google deep mind it's like all of the teams that are doing this work are now finally in one place so it's been supercharged I grew up in a very small town in Texas removed from the hustle and bustle of the larger Texas cities I think I was most bummed that we didn't have a proper library in town so my first computer my mom and I rescued from being thrown away because nobody could quite figure out how to get it to work and I started tinkering to try to figure out how the computer would work learning how to program learning how to play the games this is Digital Love Story You're exploring this BBS system in the'80s was very cool at the time my computer was like water in a desert it's how you have something that can give you a bigger idea of the world and I was hooked and so when I went to school my admissions essay was about computational Neuroscience that's when I knew what I wanted to do with my life so computational neuroscience at the time was understanding how you could do models of brain functions using programs or computational processes that's one of the things that draws so many of us to Google Deep Mind is this yearning to figure out the way that a person thinks the way that they process information the way that they accomplish tasks so much of psychology feels very fuzzy what I really really wanted to see was more definitive answers I was the product lead for Palm 2 building a very powerful large language model this was really the first time that we were able to release a model and point to dozens of places where that model was already available for people to use and now since coming to Google deepmind it's building off of that how do we use these large language models for software development how do we put Ai and integrate machine learning into every single one of our products and when you think about it that way if you can save each one of those people just a few seconds that's making the world in aggregate so much more productive and if you're looking for impact for ways to understand how people interact with these models there is no better place to do it than Google Deep Mind one of the things that excites me the most is that the entire world seems to be caught in on the excitement of generative Ai and these tools are democratizing it in a way that we've never seen before\n"