Artificial Intelligence seems more human-like and capable than ever before — but how did it get so good so quickly? Today, we’re pulling back the curtain to find out exactly how AI works. And we'll dig into one of the biggest problems that scientists are worried about here: The ability of AI to trick us. We talk to Dr. Sasha Luccioni and Professor Seth Lazar about the science.This episode contains explicit language.There’s also a brief mention of suicide, so please take care when listening. Here are some crisis hotlines:  United States: US National Suicide Prevention Lifeline 1-800-273-TALK (2755) (Online chat available); US Crisis Text Line Text “GO” to 741741 Australia: Lifeline 13 11 14 (Online chat available) Canada: Canadian Association for Suicide Prevention (See link for phone numbers listed by province) United Kingdom: Samaritans 116 123 (UK and ROI) Full list of international hotlines here  Find our transcript here: https://bit.ly/ScienceVsAIIn this episode, we cover:(00:00) 64,000 willies(05:13) A swag pope(06:36) Why is AI so good right now?(09:06) How does AI work? (17:43) Opening up AI to everyone(20:42) A rogue chatbot(27:50) Charming chatbots(29:42) A misinformation apocalypse?(33:16) Can you tell me something good?!(36:08) Citations, credits, and a special surprise… This episode was produced by Joel Werner, with help from Wendy Zukerman, Meryl Horn, R.E. Natowicz, Rose Rimler, and Michelle Dang. We’re edited by Blythe Terrell. Fact checking by Erica Akiko Howard. Mix and sound design by Jonathon Roberts. Music written by Bobby Lord, Peter Leonard, Emma Munger So Wylie and Bumi Hidaka. Thanks to all the researchers we spoke to including Dr Patrick Mineault, Professor Melanie Mitchell, Professor Arvind Narayanan, Professor Philip Torr, Stella Biderman, and Arman Chaudhry.Special thanks to Katie Vines, Allison, Jorge Just, the Zukerman Family and Joseph Lavelle Wilson. Science Vs is a Spotify Original Podcast. Follow Science Vs on Spotify, and if you wanna receive notifications every time we put out a new episode, tap the bell icon! Learn more about your ad choices. Visit podcastchoices.com/adchoices

Professor Seth Lazar delves into managing near-term vs long-term risks in AI, axioms in political philosophy, coordination problems in AI development. He discusses attention allocation as a moral skill, the balance in metaphysical economy, reflections on social movement impacts, and navigating current and future AI risks including ethical considerations and safety research

Curtis is setting aside a large chunk of money to donate to charity, and it is up to us to persuade him where he should donate it. Luckily, philosophers, economists, and the nonprofit world have been thinking a lot about this issue in recent years. On this episode, effective altruism’s defenders and critics try to persuade Curtis of where he should donate. Who is the most effective in persuading an ordinary person as to the right way to donate to charity? And do the recent scandals involving effective altruism’s biggest donor implicate its philosophical foundations? We start with arguments that you should always try to save the most lives possible, no matter where they are on the planet. We then hear a critic of that view, who argues that local giving can also be a good. We then turn to the view that we should save humans from extinction from threats like pandemics, nuclear war, and AI takeover. And finally, we hear from a critic of that view, who says we should not blow future risks out of proportion. Guests include philosophers Richard Yetter-Chappell (Miami), Savannah Pearlman (Indiana), Shakeel Hashim (Center for Effective Altruism), and Seth Lazar (Australia National University). Learn more about your ad choices. Visit megaphone.fm/adchoices