The World as You’ll Know It: The Great Rebuild Aventine Research Institute

We’re currently involved in one of the most ambitious projects we, as humans, have ever attempted: Rebuilding the world, pretty much from the ground up, in order to switch from fossil fuels to clean energy sources. In this season of The World as You'll Know It, science journalist Arielle Duhaime-Ross goes deep inside the world of cutting-edge climate technologies and asks: How is this going to work? The answers — from some of the world’s most innovative and audacious thinkers, builders and investors — reveal the promise, obstacles and tradeoffs of a new clean-energy landscape that will shape the way we live.

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In our final episode, Host Gary Marcus shares his hopes for and fears about an AI-driven future. On the one hand, AI could accelerate solutions to some of society’s most difficult problems; on the other, it could deepen existing problems and create new existential risks to humanity. Getting it right, Marcus emphasizes, depends on establishing both national and international standards for the industry as soon as possible. He is joined by Dr. Alondra Nelson, who led the White House Office of Science and Technology Policy in 2021, and Brian Christian an AI researcher and the author of The Alignment Problem; Machine Learning and Human Values.

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Some people use chatbots for therapy. Others have fallen in love with them. And some people argue that AI systems have become sentient and are entitled to certain rights. In this episode, Gary Marcus explores our relationship with AI technology —  how it’s changing and where it might lead. He speaks with Blake Lemoine, an engineer who believes that a Google program has achieved sentience and even has feelings, Eugenia Kuyda, the founder and CEO of Replika, Anna Oakes, a lead producer and co-host of Bot Love, and Paul Bloom, a cognitive psychologist who believes we are on the forefront of a new age of human-machine interaction.

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The emergence of generative AI threatens to automate millions of jobs, potentially ushering in a new and unprecedented wave of job displacement. In the past, newly created jobs replaced those lost. Will that happen this time? To discuss this, Gary Marcus is joined by Amy Winter, a concept artist who sees generative AI as a threat to her career, Brian Merchant, the technology columnist for the Los Angeles Times and author of “Blood in the Machine: the Origins of the Rebellion against Big Tech”, and Dr. Erik Brynjolffson, an economist and Senior Fellow at the Stanford Institute for Human-Centered AI, that studies the effects of technology on the workforce. 

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Misinformation has already influenced our elections, ruined reputations and fundamentally changed society’s relationship with the truth. Now, large language models like GPT have the potential to create and spread misinformation at a speed and scale we’ve never seen before. As new technologies allow bad actors to imitate the way we write, the way we speak and the way we appear in photos and videos, the question won’t be, ‘What we can believe in?’ but whether we’ll be able to believe in anything at all. To discuss how we got here and what we must do to fix it, host Gary Marcus talks to Pranshu Verma and Will Oremus, two technology writers from the Washington Post, and Dr. Rumman Chowdhury, a leading expert in Ethical AI and former Director of the Ethics and Transparency team at Twitter.

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New large language models are capable of writing essays, drafting marketing pitches and having human-like exchanges on chat apps. But can they make us laugh the way a human can? To explore this, host Gary Marcus is joined by Dr. Naomi Saphra, an AI researcher and comedian, Bob Mankoff, former Cartoon Editor of The New Yorker magazine and Yejin Choi, a computer science professor at the University of Washington and 2022 MacArthur Fellow. While artificial intelligence systems can generate far more jokes than humans can, knowing what’s funny remains — at least for now — a uniquely human ability.

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