{"generated_at": "2026-08-30T00:44:47.924454Z", "slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "name": "Machine Learning Street Talk (MLST)", "episode_count": 8, "avg_signal": 84.4, "median_signal": 84.8, "top_signal": 90.1, "latest_episode_at": "2026-08-10T22:56:24Z", "earliest_episode_at": "2026-05-21T12:29:21Z", "category_mode": "ai", "cover_image_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1786401110675-2d69a9958eac5.jpg", "rank_score": 148.769, "episodes": [{"episode_id": "ep_machine_learning_street_talk_mlst_5b50ae30afa7", "episode_title": "AI Is Learning at the Wrong Level of Abstraction \u2014 Matthieu Wyart", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-08-10T22:56:24Z", "overall_score": 90.1, "score_breakdown": {"clarity": 71.0, "originality": 59.4, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1786401110675-2d69a9958eac5.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/AI-Is-Learning-at-the-Wrong-Level-of-Abstraction--Matthieu-Wyart-e3n81u2", "audio_url": "https://anchor.fm/s/1e4a0eac/podcast/play/124044674/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-7-10%2F429598212-44100-2-df596d8a748df.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/AI-Is-Learning-at-the-Wrong-Level-of-Abstraction--Matthieu-Wyart-e3n81u2", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of it's, know, think, including: You know, those machines, they can build new images that we've never seen before, or say new sentences that were never heard before.", "summary": "I'm a full professor at Johns Hopkins University in the US and at EPFL in Switzerland. You know, those machines, they can build new images that we've never seen before, or say new sentences that were never heard before."}, {"episode_id": "ep_machine_learning_street_talk_mlst_e21bbcafd6f0", "episode_title": "How Researchers Test AI for Hidden Goals \u2014 Apollo Research", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-07-31T20:31:41Z", "overall_score": 80.1, "score_breakdown": {"clarity": 53.0, "originality": 57.4, "hype_penalty": 6.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1785528850056-de21bfc513aa6.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Researchers-Test-AI-for-Hidden-Goals--Apollo-Research-e3mqbnr", "audio_url": "https://traffic.megaphone.fm/APO7959985412.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Researchers-Test-AI-for-Hidden-Goals--Apollo-Research-e3mqbnr", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, model, reward, including: So you were scrolling on Marketplace, and there it was, the bike you'd been searching for.", "summary": "So you were scrolling on Marketplace, and there it was, the bike you'd been searching for."}, {"episode_id": "ep_machine_learning_street_talk_mlst_b295f8f16868", "episode_title": "Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-07-13T22:25:57Z", "overall_score": 79.2, "score_breakdown": {"clarity": 76.4, "originality": 59.8, "hype_penalty": 12.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1783981503749-6691b9b9ed139.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Why-a-Nation-Cant-Outsource-Its-Frontier-AI---Alistair-Pullen-Cosine-AI-e3m1r3m", "audio_url": "https://traffic.megaphone.fm/APO4007908155.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Why-a-Nation-Cant-Outsource-Its-Frontier-AI---Alistair-Pullen-Cosine-AI-e3m1r3m", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, think, know, including: You think you know a browser, but Gemini and Chrome, that's new.", "summary": "You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks."}, {"episode_id": "ep_machine_learning_street_talk_mlst_6aed415a654c", "episode_title": "The Benchmark With No Instructions \u2014 ARC-AGI-3 (winning team!)", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-07-01T14:50:26Z", "overall_score": 87.6, "score_breakdown": {"clarity": 75.9, "originality": 57.1, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1782917378772-5173361314231.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/The-Benchmark-With-No-Instructions--ARC-AGI-3-winning-team-e3lh6i9", "audio_url": "https://traffic.megaphone.fm/APO7661964134.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/The-Benchmark-With-No-Instructions--ARC-AGI-3-winning-team-e3lh6i9", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, it's, think, including: You think you know a browser, but Gemini and Chrome, that's new.", "summary": "You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks."}, {"episode_id": "ep_machine_learning_street_talk_mlst_811d81c16e7d", "episode_title": "The Thermodynamic AI Computing Chip - Thomas Ahle", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-06-28T23:42:53Z", "overall_score": 88.8, "score_breakdown": {"clarity": 64.6, "originality": 59.6, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1782690135420-5e91547bd9643.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/The-Thermodynamic-AI-Computing-Chip---Thomas-Ahle-e3ld781", "audio_url": "https://anchor.fm/s/1e4a0eac/podcast/play/122116801/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-5-28%2F426995845-44100-2-b5344ecaafc67.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/The-Thermodynamic-AI-Computing-Chip---Thomas-Ahle-e3ld781", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, it's, know, including: I caught up with him in Zurich, and he's one of these rare galaxy brain people who's comfortable in probabilistic machine learning, formal verification, and chip design.", "summary": "Yeah, so why not try and build a chip that's just inherently random?. When the token god hands you something that looks like it works, how do you know it's actually right?."}, {"episode_id": "ep_machine_learning_street_talk_mlst_1f629b29081e", "episode_title": "He won a Nobel here for AlphaFold. Then he left. - John Jumper", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-06-22T22:49:31Z", "overall_score": 79.7, "score_breakdown": {"clarity": 50.1, "originality": 43.5, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1782168500202-aaac276e6bb84.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/He-won-a-Nobel-here-for-AlphaFold--Then-he-left----John-Jumper-e3l579p", "audio_url": "https://traffic.megaphone.fm/APO2063042132.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/He-won-a-Nobel-here-for-AlphaFold--Then-he-left----John-Jumper-e3l579p", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of kind, it's, know, including: You think you know a browser, but Gemini and Chrome, that's new.", "summary": "You think you know a browser, but Gemini and Chrome, that's new."}, {"episode_id": "ep_machine_learning_street_talk_mlst_72b7d1aa6409", "episode_title": "When AI Decides You're a Threat \u2014 Brad Carson", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-05-31T07:18:02Z", "overall_score": 82.3, "score_breakdown": {"clarity": 46.8, "originality": 59.9, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1780211710617-0fc86e466d735.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/When-AI-Decides-Youre-a-Threat--Brad-Carson-e3k4a04", "audio_url": "https://traffic.megaphone.fm/APO3666479479.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/When-AI-Decides-Youre-a-Threat--Brad-Carson-e3k4a04", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of know, like, think, including: They go for a darn good pizza.", "summary": "No one goes to Hank's for his spreadsheets."}, {"episode_id": "ep_machine_learning_street_talk_mlst_3e28084b872f", "episode_title": "Intelligence is collective, not artificial \u2014 Prof. Michael I. Jordan (UC Berkeley / Inria)", "podcast_name": "Machine Learning Street Talk (MLST)", "podcast_slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "category": "ai", "publish_date": "2026-05-21T12:29:21Z", "overall_score": 87.4, "score_breakdown": {"clarity": 90.0, "originality": 94.0, "hype_penalty": 1.0, "actionability": 75.0, "technical_depth": 88.0, "information_density": 75.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1779365423976-a84daf5229463.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Intelligence-is-collective--not-artificial--Prof--Michael-I--Jordan-UC-Berkeley--Inria-e3jkvil", "audio_url": "https://traffic.megaphone.fm/APO9545207589.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Intelligence-is-collective--not-artificial--Prof--Michael-I--Jordan-UC-Berkeley--Inria-e3jkvil", "verdict": "must_listen", "why_listen": "It reframes AI not as a quest for superintelligence but as an engineering and economic challenge of aligning decentralized human and machine behavior.", "summary": "Intelligence is not an isolated, artificial property of models but emerges from collective, economic, and engineering systems that integrate human preferences and incentives. Foundation models fail in high-stakes domains like drug discovery because they lack uncertainty quantification and ignore incentive structures among participants. True progress in AI requires mechanism design and data markets that align individual privacy, economic incentives, and system-level goals."}], "category_breakdown": [{"category": "ai", "count": 8}]}