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Stephen Colbert looks at the ways artificial intelligence companies are seeking to boost revenue as investors begin to worry that the A.I. stock bubble could...

As artificial intelligence advances at unprecedented speed, Jon is joined by Geoffrey Hinton, Professor Emeritus at the University of Toronto and the “Godfather of AI,” to understand what we’ve actually created. Together, they explore how neural networks and AI systems function, assess the current capabilities of the technology, and examine Hinton’s concerns about where AI is headed. This podcast episode is brought to you by: MINT MOBILE - Make the switch at https://mintmobile.com/TWS GROUND NEWS - Go to https://groundnews.com/stewart to see how any news story is being framed by news outlets around the world and across the political spectrum. Use this link to get 40% off unlimited access with the Vantage Subscription. INDEED - Speed up your hiring with Indeed. Go to https://indeed.com/weekly to get a $75 sponsored job credit. Follow The Weekly Show with Jon Stewart on social media for more: YouTube: https://www.youtube.com/@weeklyshowpodcast Instagram: https://www.instagram.com/weeklyshowpodcast TikTok:…

The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next.

[Recorded March 25, 2025] Chatbots based on large language models (LLMs), like ChatGPT, answer sophisticated questions, pass professional exams, analyze texts, generate everything from poems to computer programs, and more. But is there genuine understanding behind what LLMs can do? Do they really understand our world? Or, are they a triumph of mathematics and masses of data and calculations simulating true understanding? Join CHM, in partnership with IEEE Spectrum, for a fundamental debate on the nature of today’s AI: Do LLMs demonstrate genuine understanding, the “sparks” of true intelligence, or are they “stochastic parrots,” lacking understanding and meaning? FEATURED PARTICIPANTS Speaker Emily M. Bender Professor of Linguistics, University of Washington Emily M. Bender is a professor of linguistics and director of the Computational Linguistics Laboratory at the University of Washington, where she also serves as faculty director of the CLMS program, and adjunct professor at the School of Computer Science and Engineering and the Information School. Known for her critical perspectives on AI language models, notably coauthoring the paper "On the Dangers of Stochastic Parrots," Bender is also the author of the forthcoming book, The AI Con: How to Fight Big Tech's Hype and Create the Future We Want. Speaker Sébastien Bubeck Member of Technical Staff, OpenAI Sébastien Bubeck is a member of the technical staff at OpenAI. Previously, he served as VP, AI and distinguished scientist at Microsoft, where he spent a decade at Microsoft Research. Prior to that, he was an assistant professor at Princeton University. Bubeck's 2023 paper, "Sparks of Artificial General Intelligence: Early experiments with GPT-4," drove widespread discussion and debate about the evolution of AI both in the scientific community and mainstream media like the New York Times and Wired. Bubeck has been recognized with best paper awards at a number of conferences, and he is the author of the book Convex Optimization: Algorithms and Complexity. Moderator Eliza Strickland Senior Editor, IEEE Spectrum Eliza Strickland is a senior editor at IEEE Spectrum, where she covers artificial intelligence, biomedical technology, and other advanced technologies. In addition to her writing and editing work, she also hosts podcasts, creates radio segments, and moderates talks at events such as SXSW. Prior to joining IEEE Spectrum in 2011, she oversaw a daily science blog for Discover magazine and wrote for outlets including Wired, The New York Times, Sierra, and Foreign Policy. Strickland received her master’s degree in journalism from Columbia University. Catalog Number: 300000014 Acquisition Number: 2025.0036

Brainyacts #263

Wonder Tools for AI — Practical, free prompts

This is the second post in the To Ask or Not Ask the Question in ChatGPT series. The first post focused on using ChatGPT to ask questions and gather information, while this post highlights best pra…

Let's explore ChatGPT & how to get started with it. Get the latest AI news: https://app.beehiiv.com/Learn how to use ChatGPT with Francesco and the basics yo...