Highlights - Alberto Savoia - Google’s 1st Engineering Director - Author of “The Right It”

Highlights - Alberto Savoia - Google’s 1st Engineering Director - Author of “The Right It”

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Google’s 1st Engineering Director · Innovation Agitator Emeritus
Author of The Right It: Why So Many Ideas Fail and How to Make Sure Yours Succeed

As much as I would love to take the credit, Google Ads was a big team, and I was fortunate to be brought in as a director that managed the team. I think the reason it was so successful is because innovations and new ideas, they compound. They build one upon the other. So the reason why ads was so successful for Google is because search was so successful for Google. So when you have search and you have billions of people coming in every day, maybe every hour, and searching all kinds of things, you have this treasure trove of data. If you have billion searches per day, you know how many experiments can you run? And so Google is very famous for doing a lot of A/B experiments. That's how we collect the data. So what actually enabled Google to be so successful and to grow is this mental attitude, which is the same one that Amazon and some of these really successful technology companies have, of doing a lot of experiments on small samples and continually refining their data based on that. If you're dealing with a lot of people, you can do those experiments and that's why these companies are successful. The sad thing or what happens with companies that do not operate in that way, that do not try to operate on data and do all of those experiments, those are the ones that are left behind. Innovation is experimentation.

Alberto Savoia - Google’s 1st Engineering Director - Author of “The Right It”

Alberto Savoia - Google’s 1st Engineering Director - Author of “The Right It”

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Google’s 1st Engineering Director · Innovation Agitator Emeritus
Author of The Right It: Why So Many Ideas Fail and How to Make Sure Yours Succeed

As much as I would love to take the credit, Google Ads was a big team, and I was fortunate to be brought in as a director that managed the team. I think the reason it was so successful is because innovations and new ideas, they compound. They build one upon the other. So the reason why ads was so successful for Google is because search was so successful for Google. So when you have search and you have billions of people coming in every day, maybe every hour, and searching all kinds of things, you have this treasure trove of data. If you have billion searches per day, you know how many experiments can you run? And so Google is very famous for doing a lot of A/B experiments. That's how we collect the data. So what actually enabled Google to be so successful and to grow is this mental attitude, which is the same one that Amazon and some of these really successful technology companies have, of doing a lot of experiments on small samples and continually refining their data based on that. If you're dealing with a lot of people, you can do those experiments and that's why these companies are successful. The sad thing or what happens with companies that do not operate in that way, that do not try to operate on data and do all of those experiments, those are the ones that are left behind. Innovation is experimentation.

Highlights - Nicholas Christakis - Author of “Blueprint” - Dir. - Human Nature Lab, Yale

Highlights - Nicholas Christakis - Author of “Blueprint” - Dir. - Human Nature Lab, Yale

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Author of Blueprint: The Evolutionary Origins of a Good Society
Director of the Human Nature Lab at Yale · Co-director of the Yale Institute for Network Science

So these kinds of problems in what I call hybrid systems of humans and machines are a key focus of my lab right now. Margaret Traeger, who's now at Notre Dame, she did a wonderful project in which we made these groups of three humans and a humanoid robot work together to solve a problem.

We manipulated the humanity of the robot. For example, sometimes we had the robot tell stupid dad jokes, like corny jokes. Or we had the robot break the ice by saying, "You know, robots can make mistakes, too." This kind of stuff. And what we found was that the human interactions could be changed by the simple programming of the robot.

Nicholas A. Christakis - Author of “Blueprint: The Evolutionary Origins of a Good Society" - Dir. - Human Nature Lab, Yale

Nicholas A. Christakis - Author of “Blueprint: The Evolutionary Origins of a Good Society" - Dir. - Human Nature Lab, Yale

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Author of Blueprint: The Evolutionary Origins of a Good Society
Director of the Human Nature Lab at Yale · Co-director of the Yale Institute for Network Science

We're not attempting to invent super smart AI to replace human cognition. We are inventing dumb AI to supplement human interaction. Are there simple forms of artificial intelligence, simple programming of bots, such that when they are added to groups of humans – because those humans are smart or otherwise positively inclined - that help the humans to help themselves? Can we get groups of people to work better together, for instance, to confront climate change, or to reduce racism online, or to foster innovation within firms?

Can we have simple forms of AI that are added into our midst that make us work better together? And the work we're doing in that part of my lab shows that abundantly that's the case. And we published a stream of papers showing that we can do that.

(Highlights) MIKE PONDSMITH

(Highlights) MIKE PONDSMITH

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Creator of Cyberpunk · Origins Award-Winning Game Designer

One of the things I’ve noticed is that a lot of those younger people are actually much nicer than they need to be. And they have to realize that this is going to be your world. It turns out the way you want to make it and so you should be thinking now about what you want out of this. What do you want that world to be? Do not wait around until the two generations beyond you have gone ahead and done it the way they want it because, by the time they get done, you’re not going to have the chance to shift it to where you want it. So start thinking now about where do you want to be? What is the future you want? And don’t be nice about it, just go ahead and start planning it now.

MIKE PONDSMITH

MIKE PONDSMITH

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Creator of Cyberpunk · Origins Award-Winning Game Designer

One of the things I’ve noticed is that a lot of those younger people are actually much nicer than they need to be. And they have to realize that this is going to be your world. It turns out the way you want to make it and so you should be thinking now about what you want out of this. What do you want that world to be? Do not wait around until the two generations beyond you have gone ahead and done it the way they want it because, by the time they get done, you’re not going to have the chance to shift it to where you want it. So start thinking now about where do you want to be? What is the future you want? And don’t be nice about it, just go ahead and start planning it now.

(Highlights) BEN PRING

(Highlights) BEN PRING

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Director of Cognizant’s Center for the Future of Work
Author of Monster: A Tough Love Letter On Taming the Machines that Rule Our Jobs, Lives

They’re single-purpose engines doing one thing in extraordinary ways, and they’ve been encouraged in that by the ecosystem around them, by the funding that’s being pumped into them by people whose only motivation is simply to make more money–and you can see the results of that in the world as this technology has grown from a little acorn to now being the biggest Sequoia in the forest. And it’s shading every other tree, it’s taking all the light, it’s taking all the energy from the forest, and it’s distorting so much in the world.

BEN PRING

BEN PRING

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Director of Cognizant’s Center for the Future of Work
Author of Monster: A Tough Love Letter On Taming the Machines that Rule Our Jobs, Lives

They’re single-purpose engines doing one thing in extraordinary ways, and they’ve been encouraged that by the ecosystem around them, by the funding that’s being pumped into them by people whose only motivation is simply to make more money–and you can see the results of that in the world as this technology has grown from a little acorn to now being the biggest Sequoia in the forest. And it’s shading every other tree, it’s taking all the light, it’s taking all the energy from the forest, and it’s distorting so much in the world.