{"generated_at": "2026-10-14T02:33:41.109414Z", "slug": "machine_learning_street_talk_mlst", "source_id": "src_machine_learning_street_talk_mlst", "name": "Machine Learning Street Talk (MLST)", "episode_count": 20, "avg_signal": 83.7, "median_signal": 82.9, "top_signal": 90.1, "latest_episode_at": "2026-10-10T05:48:01Z", "earliest_episode_at": "2026-05-21T12:29:21Z", "category_mode": "ai", "cover_image_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1791611193615-5ef182c8cdfd5.jpg", "rank_score": 243.699, "episodes": [{"episode_id": "ep_machine_learning_street_talk_mlst_16d9173985d3", "episode_title": "What Most People Get Wrong About Evolution | Akarsh Kumar", "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": "2026-10-10T05:48:01Z", "overall_score": 83.2, "score_breakdown": {"clarity": 74.7, "originality": 51.3, "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/4981699/4981699-1791611193615-5ef182c8cdfd5.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/What-Most-People-Get-Wrong-About-Evolution--Akarsh-Kumar-e3q8ds7", "audio_url": "https://traffic.megaphone.fm/APO3123732451.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/What-Most-People-Get-Wrong-About-Evolution--Akarsh-Kumar-e3q8ds7", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, right, it's, including: You think you know a browser, but Gemini and Chrome?.", "summary": "You think you know a browser, but Gemini and Chrome?. 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_b66d9eb312e8", "episode_title": "How a Voice Agent Learns the Rhythm of Conversation \u2014 Shawn Wen", "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": "2026-10-01T20:03:16Z", "overall_score": 85.3, "score_breakdown": {"clarity": 76.5, "originality": 44.8, "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/4981699/4981699-1790884897172-57b7a0f9a01d9.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-a-Voice-Agent-Learns-the-Rhythm-of-Conversation--Shawn-Wen-e3pndhc", "audio_url": "https://traffic.megaphone.fm/APO4192826989.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-a-Voice-Agent-Learns-the-Rhythm-of-Conversation--Shawn-Wen-e3pndhc", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, know, because, including: Voice AI is very important because that's the native way that humans are talking to each other, and it's the most nature interfaces.", "summary": "They want the agent to be super powerful, like a human being, but they want the agent to be super controllable, like a robot. Voice AI is very important because that's the native way that humans are talking to each other, and it's the most nature interfaces."}, {"episode_id": "ep_machine_learning_street_talk_mlst_85469e282a05", "episode_title": "Who Checks a Proof No Human Can Read? \u2014 Leo de Moura", "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": "2026-09-30T03:19:37Z", "overall_score": 82.4, "score_breakdown": {"clarity": 51.1, "originality": 55.8, "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/4981699/4981699-1790738340041-2f3b2201adc05.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Who-Checks-a-Proof-No-Human-Can-Read---Leo-de-Moura-e3pjhg5", "audio_url": "https://traffic.megaphone.fm/APO7003577346.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Who-Checks-a-Proof-No-Human-Can-Read---Leo-de-Moura-e3pjhg5", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of it's, lean, right, including: My Lowe's Pro Rewards members save more with member volume discounts on eligible orders through a quote of $2,000 or more.", "summary": "When you've got a job to do, Lowe's knows how to help you keep it moving."}, {"episode_id": "ep_machine_learning_street_talk_mlst_cd83f6946620", "episode_title": "When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang", "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": "2026-09-26T19:40:18Z", "overall_score": 90.1, "score_breakdown": {"clarity": 75.8, "originality": 54.5, "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/4981699/4981699-1790451586279-ab0c2124e264b.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/When-AI-Research-Starts-Moving-Faster-Than-Human-Research---Zhengyao-Jiang-e3pe7db", "audio_url": "https://traffic.megaphone.fm/APO8416821427.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/When-AI-Research-Starts-Moving-Faster-Than-Human-Research---Zhengyao-Jiang-e3pe7db", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, agent, loop, including: You think you know a browser, but Gemini and Chrome?.", "summary": "You think you know a browser, but Gemini and Chrome?. 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_46b7a75d6ec3", "episode_title": "How Deep Learning Finally Cracked Messy Tables - Frank Hutter", "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": "2026-09-23T17:56:11Z", "overall_score": 77.8, "score_breakdown": {"clarity": 56.9, "originality": 56.9, "hype_penalty": 9.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1790186030893-f2e47d20bf42c.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Deep-Learning-Finally-Cracked-Messy-Tables---Frank-Hutter-e3p9qvq", "audio_url": "https://traffic.megaphone.fm/APO9587558249.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Deep-Learning-Finally-Cracked-Messy-Tables---Frank-Hutter-e3p9qvq", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of data, actually, it's, including: Apple Watch Series 12 measures your heart rate every five seconds with the most accurate heart rate sensing in a wearable.", "summary": "Your heart can tell you a lot about your health. And your readiness score can let you know when to rest and when to push."}, {"episode_id": "ep_machine_learning_street_talk_mlst_e0bee9a64986", "episode_title": "Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick", "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": "2026-09-21T15:02:27Z", "overall_score": 82.1, "score_breakdown": {"clarity": 46.5, "originality": 44.1, "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/4981699/4981699-1790002730126-069aa2586d9a2.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Why-Scaling-Prediction-Cannot-Create-Intelligence---Alexander-Mattick-e3p69rq", "audio_url": "https://traffic.megaphone.fm/APO3817128671.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Why-Scaling-Prediction-Cannot-Create-Intelligence---Alexander-Mattick-e3p69rq", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, because, it's, including: Apple Watch Series 12 measures your heart rate every five seconds with the most accurate heart rate sensing in a wearable.", "summary": "Your heart can tell you a lot about your health."}, {"episode_id": "ep_machine_learning_street_talk_mlst_bf2cf9b43428", "episode_title": "How Physical AI Learns Across Language, Video and Action \u2014 Ming-Yu Liu", "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": "2026-09-15T16:01:58Z", "overall_score": 84.7, "score_breakdown": {"clarity": 52.6, "originality": 51.0, "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/4981699/4981699-1789488089484-208ec03aea187.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Physical-AI-Learns-Across-Language--Video-and-Action--Ming-Yu-Liu-e3ospub", "audio_url": "https://traffic.megaphone.fm/APO4863104315.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Physical-AI-Learns-Across-Language--Video-and-Action--Ming-Yu-Liu-e3ospub", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of model, know, action, including: Propel hydrates better than water to help you get the most out of your workout and get back to your best self.", "summary": "Propel Fitness Water with Gatorade electrolytes, zero sugar, and vitamins."}, {"episode_id": "ep_machine_learning_street_talk_mlst_e0fd9ac25f01", "episode_title": "Speech Recognition Is Not a Solved Problem \u2014 Pavan Kumar Reddy", "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": "2026-09-14T20:23:21Z", "overall_score": 84.2, "score_breakdown": {"clarity": 54.2, "originality": 46.8, "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/4981699/4981699-1789417306481-8c4fd5e36b41d.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Speech-Recognition-Is-Not-a-Solved-Problem--Pavan-Kumar-Reddy-e3orlk9", "audio_url": "https://traffic.megaphone.fm/APO7397293133.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Speech-Recognition-Is-Not-a-Solved-Problem--Pavan-Kumar-Reddy-e3orlk9", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of model, it's, like, including: It gives your job post the boost it needs to be seen and helps reach people with the right skills, certifications, and more.", "summary": "When you need to build up your team to handle the growing chaos at work, use Indeed Sponsored Jobs."}, {"episode_id": "ep_machine_learning_street_talk_mlst_ea25e1c010ce", "episode_title": "How Replication Could Teach Machines What Good Science Looks Like \u2014 Edward Hughes", "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": "2026-09-11T21:51:23Z", "overall_score": 81.9, "score_breakdown": {"clarity": 79.2, "originality": 55.2, "hype_penalty": 9.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1789163036496-a1edef5e5a744.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Replication-Could-Teach-Machines-What-Good-Science-Looks-Like--Edward-Hughes-e3ons8t", "audio_url": "https://traffic.megaphone.fm/APO4620860716.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/How-Replication-Could-Teach-Machines-What-Good-Science-Looks-Like--Edward-Hughes-e3ons8t", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of think, it's, which, including: You spoke about Move 37 and I think you and I would agree that that was definitely creative.", "summary": "How do we start to build AI scientist systems that go beyond simply answering questions that we pose and start to ask the kinds of questions that lead to open-ended creative discovery?. You spoke about Move 37 and I think you and I would agree that that was definitely creative."}, {"episode_id": "ep_machine_learning_street_talk_mlst_873ae17a2eb7", "episode_title": "AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen", "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": "2026-09-08T11:27:44Z", "overall_score": 82.6, "score_breakdown": {"clarity": 74.4, "originality": 48.8, "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/4981699/4981699-1788863862565-47efa44df9922.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/AI-2040-Plan-A-report---Daniel-Kokotajlo--Thomas-Larsen-e3oh301", "audio_url": "https://traffic.megaphone.fm/APO5978647077.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/AI-2040-Plan-A-report---Daniel-Kokotajlo--Thomas-Larsen-e3oh301", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, think, sort, including: You think you know a browser, but Gemini and Chrome?.", "summary": "You think you know a browser, but Gemini and Chrome?. 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_d2b8e6ad18e5", "episode_title": "Designing How AI Grows \u2014 Tom McGrath", "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": "2026-09-02T21:04:58Z", "overall_score": 79.0, "score_breakdown": {"clarity": 71.2, "originality": 48.7, "hype_penalty": 9.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/4981699/4981699-1788383050226-9cc3670ef3fef.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Designing-How-AI-Grows--Tom-McGrath-e3o8p04", "audio_url": "https://anchor.fm/s/1e4a0eac/podcast/play/125116868/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-8-2%2F431065420-44100-2-1fb5f17ee7e73.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Designing-How-AI-Grows--Tom-McGrath-e3o8p04", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, know, sort, including: You can use that for the intro.", "summary": "which is like Neil Nander says, SAEs are dead. I think interpretability is, I think of it as a natural science, you know, like physics, biology, chemistry, but it's a natural science that you do completely on the computer."}, {"episode_id": "ep_machine_learning_street_talk_mlst_2e77e66eb7c6", "episode_title": "Stealing Reasoning Traces from Proprietary LLM APIs \u2014 Ilia Shumailov & Alexander Panfilov", "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": "2026-08-22T20:29:11Z", "overall_score": 84.5, "score_breakdown": {"clarity": 61.8, "originality": 55.8, "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/4981699/4981699-1787430515895-373f74f8442b3.jpg", "source_link": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Stealing-Reasoning-Traces-from-Proprietary-LLM-APIs--Ilia-Shumailov--Alexander-Panfilov-e3nonlk", "audio_url": "https://traffic.megaphone.fm/APO1270776138.mp3", "listen_url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Stealing-Reasoning-Traces-from-Proprietary-LLM-APIs--Ilia-Shumailov--Alexander-Panfilov-e3nonlk", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, it's, think, including: I think this still shocks me the most.", "summary": "Basically, after the third attempt, I'm getting universal jailbreak that decodes reasoning of entropic models. I think this still shocks me the most."}, {"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": 20}]}