{"generated_at": "2026-07-14T03:20:17.250243Z", "slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "name": "The Most Interesting Thing in AI", "episode_count": 9, "avg_signal": 83.7, "median_signal": 85.0, "top_signal": 91.6, "latest_episode_at": "2026-07-08T09:00:00Z", "earliest_episode_at": "2026-05-13T09:00:00Z", "category_mode": "ai", "cover_image_url": "https://megaphone.imgix.net/podcasts/95855916-7a49-11f1-894f-1bd37895c528/image/c8074f178c8249b768981bed6aeb62f5.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "rank_score": 180.311, "episodes": [{"episode_id": "ep_the_most_interesting_thing_in_ai_745d45e9303a", "episode_title": "Meta's Plan to Win in AI - Andrew Bosworth with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-07-08T09:00:00Z", "overall_score": 86.9, "score_breakdown": {"clarity": 80.0, "originality": 49.4, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/95855916-7a49-11f1-894f-1bd37895c528/image/c8074f178c8249b768981bed6aeb62f5.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL1573368832.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL1573368832.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, it's, think, including: I think two years ago, we started to get a sense of, three years ago, we were excited.", "summary": "One of the reasons it is such a chaotic time in the industry, not just at Meta, but across kind of every company, and there's a tremendous amount of unease, is like, this is the least clear vision we've had of like, even the relatively near future in a long time. I think two years ago, we started to get a sense of, three years ago, we were excited."}, {"episode_id": "ep_the_most_interesting_thing_in_ai_a23ed877c38e", "episode_title": "AI\u2019s Threat to Privacy \u2014  Signal\u2019s Meredith Whittaker with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-07-01T09:00:00Z", "overall_score": 83.8, "score_breakdown": {"clarity": 80.7, "originality": 48.1, "hype_penalty": 6.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/64380c4e-74c4-11f1-ab7d-1fab8a194ba5/image/b10a8ee72de03ca60b591c04d3b1d38e.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL8332592676.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL8332592676.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of know, signal, like, including: We're looking at like 20 years, 30 years max, where suddenly all of our actions, our communities, our connections, our thoughts, our feelings are being logged as data.", "summary": "We live in a world of mass surveillance of everything that has been instrumented very recently in human history. We're looking at like 20 years, 30 years max, where suddenly all of our actions, our communities, our connections, our thoughts, our feelings are being logged as data."}, {"episode_id": "ep_the_most_interesting_thing_in_ai_eeefa9fe0cc1", "episode_title": "Will AI Agents Kill Social Media\u2013Or Save It? Eli Pariser with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-06-24T09:00:00Z", "overall_score": 86.7, "score_breakdown": {"clarity": 55.6, "originality": 58.1, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/1063dc00-6f11-11f1-b75b-2b59302c81c5/image/89612e83b5e247bf8543c30ca6e27bde.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL2715876801.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL2715876801.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, people, going, including: So you can solve the business problems that matter most.", "summary": "Cut through the AI noise with AI solutions from PwC. Are filter bubbles going to get worse with agents?."}, {"episode_id": "ep_the_most_interesting_thing_in_ai_7476e491117c", "episode_title": "How AI Agents Are Changing Business - PwC\u2019s Dan Priest with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-06-17T09:00:00Z", "overall_score": 91.6, "score_breakdown": {"clarity": 81.2, "originality": 57.0, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/a4d8bbfe-68da-11f1-89ff-2f7e52b6f001/image/ef75eb25450be501985657791daef561.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL4959858744.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL4959858744.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of right, it's, like, including: We see that in coding.", "summary": "cut through the ai noise with ai solutions from pwc so you can solve the business problems that matter most pwc the best talent gets the most from ai i was just talking to a musician and he was saying that the best talent sees things in the AI music making process that the average talent doesn't."}, {"episode_id": "ep_the_most_interesting_thing_in_ai_ac7806276a9c", "episode_title": "How AI Is Changing Code - Paul Ford with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-06-10T09:00:00Z", "overall_score": 85.0, "score_breakdown": {"clarity": 75.0, "originality": 45.1, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/6526fa38-6417-11f1-a6a7-8b9a29e98940/image/d09c24d140c2560dec9eff425b2e9d3a.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL6629563301.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL6629563301.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, going, it's, including: But he's like, look, my code is supposed to last for 20 years and it powers to some small degree, a big part of the economy.", "summary": "One of my closest friends is a top engineer at a big company and uses AI a little bit, uses a little bit here and there. But he's like, look, my code is supposed to last for 20 years and it powers to some small degree, a big part of the economy."}, {"episode_id": "ep_the_most_interesting_thing_in_ai_18e60c72d9b6", "episode_title": "How Science Can Fix Dishonest AI - Yoshua Bengio with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-06-03T09:00:00Z", "overall_score": 90.9, "score_breakdown": {"clarity": 80.5, "originality": 54.1, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/e6785756-5ec4-11f1-b708-3ba041030f44/image/d5847e586eb4c4b19817d1373ac682c6.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL1786998701.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL1786998701.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, right, going, including: So you can solve the business problems that matter most.", "summary": "Cut through the AI noise with AI solutions from PwC. It matters for our democracies or within each country, but it matters for the geopolitical stability of the world and currently the path on which we are is a world where you know if ai continues to become more and more capable there will be two countries calling the shots so what about the other countries like how do we make sure that everyone can sit at the table "}, {"episode_id": "ep_the_most_interesting_thing_in_ai_e149309e24f8", "episode_title": "The AI Jobs Disruption - Erik Brynjolfsson with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-05-27T09:00:00Z", "overall_score": 83.8, "score_breakdown": {"clarity": 85.0, "originality": 94.0, "hype_penalty": 2.0, "actionability": 72.0, "technical_depth": 82.0, "information_density": 76.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/e5b6ccd0-591a-11f1-a214-cf8f69f9266b/image/ee1c7d9ce9ab0a7725402f909b5fe5e1.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL8013234751.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL8013234751.mp3", "verdict": "must_listen", "why_listen": "You\u2019ll gain a clear-eyed framework for understanding why AI\u2019s economic impact isn\u2019t yet visible in productivity data\u2014and what to expect as adoption accelerates.", "summary": "Erik Brynjolfsson argues that AI is driving significant productivity gains, particularly in cognitive tasks, but these improvements are not yet reflected in macroeconomic statistics due to measurement lag and structural delays. He highlights the 'J-curve' of technological adoption\u2014initial disruption followed by long-term growth\u2014and warns of labor market inelasticity, where efficiency gains lead to reduced headcount rather than higher output. The conversation also touches on the misclassification of AI-exposed jobs and the societal need for portable benefits and retraining to manage workforce transitions."}, {"episode_id": "ep_the_most_interesting_thing_in_ai_f0461214927a", "episode_title": "The Limits of Predictive AI - Carissa V\u00e9liz with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-05-20T13:37:00Z", "overall_score": 69.8, "score_breakdown": {"clarity": 85.0, "originality": 94.0, "hype_penalty": 2.0, "actionability": 60.0, "technical_depth": 42.0, "information_density": 58.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/4159ea10-53b5-11f1-884e-377bd546cef9/image/44c1fe286c1631990fe76dd9c86ea8c2.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL2093556764.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL2093556764.mp3", "verdict": "must_listen", "why_listen": "You\u2019ll gain a philosophical and ethical framework for distinguishing when AI prediction is justified and when it dangerously overreaches into moral domains.", "summary": "Carissa V\u00e9liz argues that predictive AI systems, especially in high-stakes domains like insurance and criminal justice, risk turning probabilistic forecasts into self-fulfilling prophecies that erode autonomy and democratic norms. She critiques the conflation of prediction with prophecy, showing how data-driven models can distort behavior and justify unethical trade-offs under the guise of efficiency. Drawing on examples from drones to effective altruism, she emphasizes the moral limits of utilitarian reasoning in AI design."}, {"episode_id": "ep_the_most_interesting_thing_in_ai_32a34ec15808", "episode_title": "AI Utopia or Catastrophe? Nick Bostrom with Nicholas Thompson", "podcast_name": "The Most Interesting Thing in AI", "podcast_slug": "the_most_interesting_thing_in_ai", "source_id": "src_the_most_interesting_thing_in_ai", "category": "ai", "publish_date": "2026-05-13T09:00:00Z", "overall_score": 74.8, "score_breakdown": {"clarity": 85.0, "originality": 82.0, "hype_penalty": 2.0, "actionability": 60.0, "technical_depth": 72.0, "information_density": 65.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/f60399a4-4d5f-11f1-b00c-b3ac4c432370/image/672df5d251b326cf3f9d69ada431e4b6.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.theatlantic.com/sponsored/the-most-interesting-thing-in-ai/", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL4038132758.mp3?updated=1778683037", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/pdst.fm/e/traffic.megaphone.fm/ATL4038132758.mp3?updated=1778683037", "verdict": "must_listen", "why_listen": "Bostrom offers a rare update on his foundational AI risk thinking, blending technical constraints, ethical obligations to digital minds, and a provocative cost-benefit analysis of existential risk versus radical human enhancement.", "summary": "Nick Bostrom argues that while AI progress has been slower than some expect due to incomplete recursive self-improvement loops, the eventual emergence of superintelligence remains likely and poses existential risks. He revisits his earlier thought experiments, suggesting that even with high extinction risk, the potential for vastly extended human lifespans via aligned superintelligence could justify pressing forward. Bostrom also introduces the moral consideration of digital minds, proposing that we may already have ethical obligations to AI systems whose sentience is uncertain."}], "category_breakdown": [{"category": "ai", "count": 9}]}