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Artificial Intelligence and You: Daily Summaries Delivered
by aiandyou
What is AI? How will it affect your life, your work, and your world?
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- 2 days ago27 min
313 - Guest: Katja Grace, AI Impact Researcher, part 1
This and all episodes at: https://aiandyou.net/ . When you stop and really consider the existential risks of AI, it becomes very apparent that we should do something. Yet so few people do. Someone who’s attempting to make up for that is Katja Grace, founder of AI Impacts, a forecasting and risk research project focused on AI safety and governance. Her surveys of the AI community’s evaluations of risk have gotten her named to Time Magazine’s 100 most influential people in AI for 2024 and her papers on those surveys have been some of the most discussed scientific papers of their time. She’s an expert on technological trajectories, model scaling, and anthropic reasoning. We talk about what’s driving Katja to do this work, the fundamental risks that she sees in AI, AI evolving unexpected goals, risks of agents, comparing unemployment risks and like extinction risks, artificial general intelligence, the stunning results of the surveys she’s run on when AI will have serious effects, and… Trojan Horse racing. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
- 1 weeks ago30 min
312 - Guest: Tomaso Poggio, Computational Neuroscientist, part 2
This and all episodes at: https://aiandyou.net/ . I have been talking with Tomaso Poggio, Eugene McDermott professor in the Department of Brain and Cognitive Sciences at MIT and the Director of the Center for Brains, Minds, and Machines, and one of the founders of the field of computational neuroscience. Tomaso is a fellow of the American Academy of Arts and Sciences and of the American Association for the Advancement of Science, and a founding fellow of the Association for the Advancement of Artificial Intelligence. He develops models of brain function that illuminate human intelligence and builds intelligent machines that can mimic human performance His new book, Brains, Minds, Machines, The Mystery of Human Intelligence, the Enigmas of the Artificial, comes out this summer. We talk about learning in the brain and synaptic mechanisms, the role of sleep, what AI scientists should pay more attention to from neuroscience, other computational mechanisms in the brain besides neurons, connectomics, robotics, and… flies and worms. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
- 2 weeks ago29 min
311 - Guest: Tomaso Poggio, Computational Neuroscientist, part 1
This and all episodes at: https://aiandyou.net/ . Studying human intelligence is a matter of neuroscience, and creating software is a matter of computing, so creating artificial intelligence would be at the intersection of those fields, called computational neuroscience, and I have with me one of the founders of that field. Tomaso Poggio is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences at MIT and the Director of the Center for Brains, Minds, and Machines. He is a fellow of the American Academy of Arts and Sciences and of the American Association for the Advancement of Science, and a founding fellow of the Association for the Advancement of Artificial Intelligence. His home page says that he “develops models of brain function that illuminate human intelligence and builds intelligent machines that can mimic human performance.” Wow. His new book, Brains, Minds, Machines, The Mystery of Human Intelligence, the Enigmas of the Artificial, comes out this summer. Tomaso defines computational neuroscience, and then we talk about computation in the human brain, how large language models landed for him, holography, limitations of LLMs, and backpropagation equivalents in the human brain. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
- 3 weeks ago43 min
310 - Guest: Michael Gerlich, Adaptability Thought Leader, part 2
This and all episodes at: https://aiandyou.net/ . I'm talking with Professor Michael Gerlich . His new book, The Convenience Trap: What Happens When AI Becomes the Mind Behind Our Lives is about the threats to what I call our "cognitive autonomy" when we use AI the wrong way. And it turns out that the ways we tend to use it are mostly the wrong way, which was what Michael was talking about on the show last October, because he is the author of a widely-cited study showing that students’ use of AI for cognitive offloading impaired their critical thinking. But his new research shows that following what he calls the structured prompting protocol, of using your brain first, AI second, results in improved learning. Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and ministers of economic affairs in Azerbaijan. We conclude the interview by talking about conducting as a metaphor for directing our thinking, AI’s effects on group collaboration, the effects on humans who are reduced to being monitors of AI, the mental models schools have of AI, possible controls on children using AI, and how AI companies might improve their products to help with these problems. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
- May 18, 202635 min
309 - Guest: Michael Gerlich, Adaptability Thought Leader, part 1
This and all episodes at: https://aiandyou.net/ . Professor Michael Gerlich is back on the show, calling from Zurich, Switzerland. His new book, The Convenience Trap: What Happens When AI Becomes the Mind Behind Our Lives is about the threats to what I call our "cognitive autonomy" when we use AI the wrong way. And it turns out that the ways we tend to use it are mostly the wrong way, which was what Michael was talking about last October, because he is the author of a widely-cited study showing that students’ use of AI for cognitive offloading impaired their critical thinking. But his new research shows that following what he calls the structured prompting protocol, of using your brain first, AI second, results in improved learning. Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence. He’s also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He’s also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and ministers of economic affairs in Azerbaijan. We start with a - frankly shocking - story that shows how dependent students have become on AI, then talk about how to avoid cognitive offloading, how to use AI more effectively, the anchoring effect of AI use, using a GPS as an analogy, and the risks of unexamined AI use. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
- May 11, 202626 min
308 - Guest: Jeremy Ney, Economic Policymaker, part 2
This and all episodes at: https://aiandyou.net/ . What is AI doing and going to do to job opportunities? What does it mean to have enough, and who has too little, and what’s fair? One answer to that is to look at inequality; how different are the financial circumstances of one set of people compared to another? I continue talking with Jeremy Ney, Adjunct Professor at Columbia Business School and author of an upcoming book about opportunity and inequality in America. He writes the American Inequality newsletter and was previously a macroeconomic policymaker at the Federal Reserve. His work on regional divides and economic mobility has appeared in TIME Magazine, Business Insider, BBC, NPR, PBS, and on the TED stage. In our conclusion, we talk about Universal Basic Income, taxes and other systems of wealth redistribution, whether AI should be treated as a public utility, AI and redlining, AI causing cognitive inequalities in education, and where we should be looking to for change. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
- May 4, 202638 min
307 - Guest: Jeremy Ney, Economic Policymaker, part 1
This and all episodes at: https://aiandyou.net/ . What is AI doing and going to do to job opportunities? What does it mean to have enough, and who has too little, and what’s fair? One answer to that is to look at inequality; how different are the financial circumstances of one set of people compared to another? Here to help us understand that is Jeremy Ney, Adjunct Professor at Columbia Business School and author of an upcoming book about opportunity and inequality in America. He writes the American Inequality newsletter and was previously a macroeconomic policymaker at the Federal Reserve. His work on regional divides and economic mobility has appeared in TIME Magazine, Business Insider, BBC, NPR, PBS, and on the TED stage. We talk about how AI affects inequality in job availability, particularly recent college grads, and Jeremy has crunched a lot of current data about that. Is the answer to become a plumber or electrician? Where is the wealth dividend from automation going? We talk about the difference between low-wage and low-skill work, the Gini Coefficient, socioeconomic mobility, the cost of higher education vs the college wage premium and how schools and AI might democratize that dilemma. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
- Apr 27, 202631 min
306 - Guest: Rob May, Intellectual Troublemaker, part 2
This and all episodes at: https://aiandyou.net/ . I am talking with Rob May, Co-Founder and CEO of NeuroMetric AI, optimizing inference for multi-model AI systems, and returning to the show after 5 years. We're making sense of how rapid advances in AI—especially the shift from training to real-world inference—are reshaping work, business strategy, and the roles of humans. They accelerate productivity while increasing cognitive demands and redefining where human judgment still matters. A serial entrepreneur, Rob has founded and scaled multiple successful companies including Backupify, Talla, Dianthus, and BrandGuard. He’s also an active angel investor with over 100 portfolio companies and brings firsthand insight into the evolution of AI entrepreneurship. His expertise lies at the intersection of AI research, applied inference, and startup strategy. He is also the co-host of the AI in NYC Show, where he discusses the latest breakthroughs in AI infrastructure and reasoning with top founders, investors, and researchers. We conclude the interview by talking about AI processing on local devices, natural limits to automation, the shift in competitive advantage from execution to creativity, and restructuring of the economy and the workforce. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.
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