{"generated_at": "2026-05-31T13:46:00.309739Z", "slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "name": "Machine Learning Street Talk (MLST)", "episode_count": 2, "avg_signal": 84.8, "median_signal": 84.8, "top_signal": 87.4, "latest_episode_at": "2026-05-31T07:18:02Z", "earliest_episode_at": "2026-05-21T12:29:21Z", "category_mode": "ai", "cover_image_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1780211710617-0fc86e466d735.jpg", "rank_score": 92.873, "episodes": [{"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": 2}]}