Resumen del episodio
From the rise of ambient intelligence to the changing nature of work and scientific discovery, what might be possible by 2030? What skills will matter most? And how do we decide which problems to solve as our technological capabilities expand? In this episode of I’ve Got Questions, I sit down with Yossi Matias, VP of Google Research, for a fireside chat about the next frontiers of AI and science, and how the technologies being developed today could reshape our everyday lives. We explore his vision for the future, the possibilities emerging across disciplines, and what it means to prepare for a world where the boundaries of what’s possible are rapidly expanding. Chapters: 00:00 Intro 01:39 A future where every scientist has an AI lab 04:26 What happens when experts can work beyond their specialty? 05:32 Everyday life in 2030 08:02 Earth AI: Asking bigger questions about our planet 10:53 When AI becomes something we take for granted 12:38 Soft skills, new roles, and the future of hiring 15:19 Thinking like an…
From the rise of ambient intelligence to the changing nature of work and scientific discovery, what might be possible by 2030? What skills will matter most? And how do we decide which problems to solve as our technological capabilities expand? In this episode of I’ve Got Questions, I sit down with Yossi Matias, VP of Google Research, for a fireside chat about the next frontiers of AI and science, and how the technologies being developed today could reshape our everyday lives. We explore his vision for the future, the possibilities emerging across disciplines, and what it means to prepare for a world where the boundaries of what’s possible are rapidly expanding. Chapters: 00:00 Intro 01:39 A future where every scientist has an AI lab 04:26 What happens when experts can work beyond their specialty? 05:32 Everyday life in 2030 08:02 Earth AI: Asking bigger questions about our planet 10:53 When AI becomes something we take for granted 12:38 Soft skills, new roles, and the future of hiring 15:19 Thinking like an…
Episodios
Why AI is creating a new era of systems thinkers | Head of Google Research (Yossi Matias)
EscuchadoFrom the rise of ambient intelligence to the changing nature of work and scientific discovery, what might be possible by 2030? What skills will matter most? And how do we decide which problems to solve as our technological capabilities expand? In this episode of I’ve Got Questions, I sit down with Yossi Matias, VP of Google Research, for a fireside chat about the next frontiers of AI and science, and how the technologies being developed today could reshape our everyday lives. We explore his vision for the future, the possibilities emerging across disciplines, and what it means to prepare for a world where the boundaries of what’s possible are rapidly expanding. Chapters: 00:00 Intro 01:39 A future where every scientist has an AI lab 04:26 What happens when experts can work beyond their specialty? 05:32 Everyday life in 2030 08:02 Earth AI: Asking bigger questions about our planet 10:53 When AI becomes something we take for granted 12:38 Soft skills, new roles, and the future of hiring 15:19 Thinking like an…
What We Are Missing In The AI Safety Debate
EscuchadoAI safety has moved further into public debate following a series of incidents over the summer involving AI systems behaving in concerning ways. But efforts to influence the direction of AI development often focus on coordination between AI labs or competition between the U.S. and China. There’s another relationship that deserves more attention: the businesses buying and using AI, and the society they operate in. Both have an interest in AI that is reliable and accountable. Could that shared interest become a source of leverage over the companies building it? In this episode, I explore what coordination between businesses and society could look like, and why I think it’s an under-explored lever for AI safety. 0:00 A different way to think about AI safety 0:20 What is recursive self-improvement? 1:35 The AI alignment problem 2:38 The race between AI labs 3:23 AI companies still need customers 4:44 Where business and society’s interests align 5:17 The financial pressure on AI companies 6:01 A lever worth…
Are we betting too much on AI? | Nobel Laureate Daron Acemoglu
EscuchadoThe AI boom is accelerating, but what kind of economy are we actually building? I sit down with Nobel laureate and MIT economist Daron Acemoglu to explore what artificial intelligence could mean for jobs, wages, inequality, and democracy. As enormous amounts of capital and talent flow into the race for more powerful AI, Daron argues that the direction of the technology is still a choice. We unpack what an AI-first economy could look like, whether widespread job displacement is inevitable, why AI could raise both productivity and wages if designed differently, and how it could instead contribute to a more unequal, two-tier society. We also explore the U.S.–China AI race, the limits of universal basic income, and what governments, companies, and civil society can do while the future is still being shaped. Daron Acemoglu is an Institute Professor of Economics at MIT, a recipient of the 2024 Nobel Memorial Prize in Economic Sciences, and co-author of Why Nations Fail and Power and Progress. --- Follow Daron…
Why We Might Be The Last Generation That Reads
EscuchadoWill we be the last generation that reads? The data suggests we're moving toward a post-literate society. As reading declines and AI makes it easier than ever to summarize, interpret, and think on our behalf, we're beginning to outsource more than just information retrieval. We're outsourcing cognitive effort itself. In this episode, I unpack why reading has been so important to human development, how our relationship with knowledge has changed over time, why AI raises the stakes, and what we can do to preserve the skills that matter most in an increasingly intelligent world. Chapters: 0:00 – Why we might be the last generation that reads1:00 – What reading does to the brain3:55 – The data behind the decline in reading and literacy7:00 – AI, cognitive offloading, and the path to a post-literate society11:45 – We've faced this kind of technological shift before16:00 – The Great Cognitive Divide19:30 – How to use AI without outsourcing your thinking22:00 – Why cognitive friction may become our most valuable…
The AI Economist: The Data on AI and Jobs Tells a Different Story
EscuchadoAre jobs actually going away? In this episode of I’ve Got Questions, I sit down with economist Avi Goldfarb, professor at the Rotman School of Management at the University of Toronto, Rotman Chair in AI and Healthcare, and chief data scientist at the Creative Destruction Lab, to unpack what AI is actually doing to the job market. We explore the popular narrative of an AI job apocalypse and what the data is really showing so far. Avi explains why AI may not simply replace workers across the board, but instead reshape which tasks become more valuable, which jobs become more exposed, and who benefits from the productivity gains. We dive into how AI could transform industries like law, healthcare, marketing, and finance, what happens to entry-level workers when AI can perform junior tasks, and why college graduates may be facing a very different path into the workforce. We also explore whether AI could increase inequality or become an unexpected equalizer, depending on what gets automated and what gets…