{"generated_at": "2026-07-14T23:30:08.282924Z", "slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "name": "Super Data Science: ML & AI Podcast with Jon Krohn", "episode_count": 17, "avg_signal": 75.0, "median_signal": 80.0, "top_signal": 90.2, "latest_episode_at": "2026-07-14T11:00:00Z", "earliest_episode_at": "2026-05-08T11:00:00Z", "category_mode": "ai", "cover_image_url": "https://megaphone.imgix.net/podcasts/366b3df6-7f58-11f1-8db9-37b1d6f5cc6f/image/9422eea7366e07d90713ee3d55c6711c.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "rank_score": 215.477, "episodes": [{"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_38ac93c96d47", "episode_title": "1009: How AI Is Quietly Saving Lives, with Steve Mock", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-07-14T11:00:00Z", "overall_score": 81.3, "score_breakdown": {"clarity": 67.1, "originality": 49.3, "hype_penalty": 6.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/366b3df6-7f58-11f1-8db9-37b1d6f5cc6f/image/9422eea7366e07d90713ee3d55c6711c.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4551868285.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4551868285.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, know, it's, including: My guest today has made huge strides in bringing those kinds of positive impacts to everyone.", "summary": "There's a lot of buzz out there about the negative impacts of AI, but we also know, probably a lot of us as listeners to this podcast, of great examples of AI making a big positive impact."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_784c232f811f", "episode_title": "1008: The AI-Native Startup Playbook", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-07-10T11:00:00Z", "overall_score": 90.2, "score_breakdown": {"clarity": 83.8, "originality": 47.4, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/55af691e-7c3b-11f1-8653-6b405685753b/image/a7e28283972e372d816f734587b9f49e.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2231905725.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2231905725.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of playbook, stage, product, including: Welcome back to the Super Data Science Podcast.", "summary": "Today's topic is Anthropik's Founder's Playbook, a 35-page guide to building an AI Native startup that the company published a few weeks ago. 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"https://megaphone.imgix.net/podcasts/d4b3cef4-79e2-11f1-8a97-1f7f19d9bdc4/image/bd8ce26f4209492c07ac54c1d3239627.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8594790766.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD8594790766.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, yeah, it's, including: My guest today works on the problems most people are too sane to even imagine, and he has some frightening ideas to share with us indeed.", "summary": "What's an outcome for humanity even worse than extinction?."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_30a076a733be", "episode_title": "1006: In Case You Missed It in June 2026", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-07-03T11:00:00Z", "overall_score": 82.7, "score_breakdown": {"clarity": 62.7, "originality": 46.0, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/197ed88c-76c1-11f1-b927-6f7a8353662c/image/2bcab900240e158115cf7db84ece6ff1.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3098511259.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3098511259.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, it's, think, including: Welcome back to the Super Data Science Podcast.", "summary": "My first clip is from episode number 999, where I sit down in San Francisco with the revered Chip Hu Yen, a two-time mega best-selling O'Reilly author."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_5b495cb9e0d5", "episode_title": "1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-06-30T11:00:00Z", "overall_score": 88.1, "score_breakdown": {"clarity": 79.9, "originality": 55.6, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/1bd31214-7460-11f1-83a2-931fc90e2b5f/image/1553b27ac1e21f1ee8a765b99af1d273.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7182063741.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7182063741.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of it's, people, like, including: Welcome to episode 1005 of the Super Data Science Podcast.", "summary": "Today's guest was a professional poker player who read his opponents entirely through data, never their faces, and is here to explain why the people side of data science and other technical disciplines might actually matter more than the math. Today's guest, Hilbert Eichlenbaum, is an absolute delight who emanates practical guidance for all of us technical folks who would like to make a bigger impact in our organizat"}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_cd50a16fd5b7", "episode_title": "1003: Building an AI Data Center End to End, with Lightning AI\u2019s Frank Basso", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-06-23T11:00:00Z", "overall_score": 80.1, "score_breakdown": {"clarity": 80.2, "originality": 45.5, "hype_penalty": 9.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/3dc8f686-6e2a-11f1-9c02-7b9e78a5885e/image/b1169ba69e71682b8b65007c00f1afcd.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7078318207.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7078318207.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of data, like, it's, including: Today, we finally fixed that.", "summary": "We've done over a thousand episodes of this show on every layer of the AI stack except the one that physically runs all of it, the data center. In this episode, Frank explains how he builds the physical AI data centers that allow us to do all the mind-blowing things that we do with AI."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_636e4c555281", "episode_title": "1002: Fable 5: The Full Story from Capabilities to Drama", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-06-19T11:00:00Z", "overall_score": 87.4, "score_breakdown": {"clarity": 83.9, "originality": 58.0, "hype_penalty": 0.0, "actionability": 75.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/534d60b0-6bae-11f1-8b2e-cf537b912779/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6348801607.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6348801607.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of fable, anthropic, model, including: Welcome back to the Super Data Science Podcast.", "summary": "Today's topic is Claude Fable 5, a model that Anthropik released last week and that's notable not just for being powerful, but for being a brand new kind of release for the company. And as if that weren't enough of a story on its own, the whole thing took a dramatic turn when the US government forced Anthropic to pull the model entirely only three days after it launched."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_d7085c04aed3", "episode_title": "1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-06-16T11:00:00Z", "overall_score": 74.5, "score_breakdown": {"clarity": 67.9, "originality": 44.7, "hype_penalty": 12.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/3e971d40-68cb-11f1-a5a4-27b045255055/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7207577153.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7207577153.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, know, yeah, including: And then, earlier this year, the technical skills mode I'd built for myself disappeared because of AI itself.", "summary": "I spent 20 years building a career as an AI expert through machine learning research at Oxford, writing a best-selling book on deep learning and leading data science teams in a range of industries."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_b09781aa7894", "episode_title": "1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-06-12T11:00:00Z", "overall_score": 83.1, "score_breakdown": {"clarity": 52.8, "originality": 57.9, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/58dc5600-6580-11f1-bf11-03f6d89e0d04/image/38ba8198c1d9fc4cf11d84f97cc5c160.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9511547516.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD9511547516.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, it's, know, including: I'm your host, John Krohn.", "summary": "To mark hitting this landmark of quadruple digits as well as 10 years of the podcast."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_c111d59e6a1c", "episode_title": "998: In Case You Missed It in May 2026", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-06-05T11:00:00Z", "overall_score": 88.8, "score_breakdown": {"clarity": 79.4, "originality": 44.5, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/9cc70b8e-5fe1-11f1-ae08-2b98119eec96/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2454892365.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2454892365.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of like, data, that's, including: Welcome back to the Super Data Science Podcast.", "summary": "My first clip is from episode 989. I speak to Anika Gupta and Cal Adubebe of Rubrik about why the old cybersecurity playbook of prevention and detection is no longer enough, and how AI agents themselves are becoming a new source of data exposure inside organizations."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_3244f5fbef10", "episode_title": "997: How This Text-to-Video-Game AI Startup Hit 20M Users", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-06-02T11:00:00Z", "overall_score": 77.0, "score_breakdown": {"clarity": 75.4, "originality": 49.4, "hype_penalty": 12.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/7169ca5c-5e4d-11f1-b111-9b19a55e73fa/image/cd829e32ec78aebf35c472683c8496e5.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2622618902.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2622618902.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of it's, like, yeah, including: My guest helped engineer a platform that allows you to do exactly that seamlessly, and already 20 million people have played games through the platform.", "summary": "Imagine being able to create full-blown video games using natural language alone and for free. My guest helped engineer a platform that allows you to do exactly that seamlessly, and already 20 million people have played games through the platform."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_2cb5e88fbfd7", "episode_title": "996: TrueFoundry\u2019s Nikunj Bajaj on How to Get $100M Returns on AI Agent Deployments", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-05-29T11:00:00Z", "overall_score": 50.0, "score_breakdown": {"clarity": 75.0, "originality": 0.0, "hype_penalty": 5.0, "actionability": 60.0, "technical_depth": 65.0, "information_density": 55.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/3258e5a0-5a97-11f1-8c7c-0ba5a7754076/image/197262cbcbe6a65428cddda44f0b097e.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2032542697.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2032542697.mp3", "verdict": "must_listen", "why_listen": "Learn how to structure AI agent deployments for maximum ROI and enterprise readiness using real-world frameworks from companies like Siemens.", "summary": "Nikunj Bajaj of TrueFoundry argues that enterprises should prioritize high-impact AI agent workflows\u2014capable of generating $100M+ returns\u2014before building broad agent infrastructure. He introduces a five workflow framework: focus on the few critical processes that drive outsized value, then build a unified governance, observability, and routing layer (via model, MCP, and agent gateways) to scale securely. Early adopters like Siemens are already seeing massive ROI from production agent deployments."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_944fdd5eadbe", "episode_title": "995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-05-26T11:00:00Z", "overall_score": 48.8, "score_breakdown": {"clarity": 0.0, "originality": 94.0, "hype_penalty": 0.0, "actionability": 0.0, "technical_depth": 72.0, "information_density": 58.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/3831620e-583a-11f1-88ba-a7f4f67f81c8/image/fa92795246a1fcd9aee0e2ab6632be0d.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3377535100.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3377535100.mp3", "verdict": "worth_your_time", "why_listen": "Learn how to build and evaluate foundation models for high-risk industrial domains using simulation, domain-specific data, and reinforcement learning.", "summary": "Jazmia Henry discusses building end-to-end foundation models tailored for the energy industry, emphasizing their application in improving safety and operational efficiency in oil and gas. She highlights how domain-specific data, simulation-based evaluation, and reinforcement learning can overcome real-world deployment challenges. Her work at Collide integrates multimodal AI systems to interpret unstructured industry documents and spatial data, enabling safer field operations."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_d40fafca30e3", "episode_title": "994: AI\u2019s Putting Recent Grads Out of Work; Here\u2019s How to Get Hired Anyway!", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-05-22T11:00:00Z", "overall_score": 80.0, "score_breakdown": {"clarity": 85.0, "originality": 85.0, "hype_penalty": 5.0, "actionability": 92.0, "technical_depth": 68.0, "information_density": 75.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/d96efff8-5445-11f1-87fc-f3a940bf70f2/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6900580946.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6900580946.mp3", "verdict": "must_listen", "why_listen": "It delivers a data-grounded reality check on AI's impact on entry-level tech jobs and provides five actionable strategies to stay competitive in an AI-augmented labor market.", "summary": "Recent computer science and computer engineering graduates face unemployment rates of 7% and nearly 8% respectively\u2014higher than the average recent grad\u2014amid a 67% drop in entry-level software and data analytics job postings. Evidence suggests AI is not replacing workers en masse but is blocking young talent from entering the field, as firms increasingly rely on AI tools like Cloud Code and Claude Cowork to automate coding and analytical tasks. The path forward involves shifting from raw coding to system design, combining AI skills with domain expertise, and building public proof of work."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_9322a005d45a", "episode_title": "993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-05-19T11:00:00Z", "overall_score": 76.4, "score_breakdown": {"clarity": 85.0, "originality": 92.0, "hype_penalty": 2.0, "actionability": 75.0, "technical_depth": 62.0, "information_density": 58.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/34275048-52cb-11f1-9117-f3bd23dfd8ab/image/b6829582533ea47981f2b0ce9f2f16f5.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3290397963.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD3290397963.mp3", "verdict": "must_listen", "why_listen": "You\u2019ll learn how to design AI workflows that avoid costly over-engineering, maintain data integrity, and adapt quickly to real-world feedback.", "summary": "The episode argues that AI-first organizations must shift from automating tasks to architecting human-AI collaboration, using frameworks like the 'Canon Manager' to maintain authoritative data sources and avoid model hallucination. It critiques overuse of fine-tuning and LLM overkill, emphasizing that workflow design, routing, and feedback loops are more critical than model performance. The Zillow Offers parable illustrates how adversarial real-world dynamics can break AI systems when feedback cycles are too slow."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_d44dd14738b3", "episode_title": "991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-05-12T11:00:00Z", "overall_score": 50.8, "score_breakdown": {"clarity": 85.0, "originality": 94.0, "hype_penalty": 3.0, "actionability": 70.0, "technical_depth": 0.0, "information_density": 0.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/cc6b8a32-4dde-11f1-8e3a-c38f6a30c1c9/image/a33c96a3e55ec360344178aa8d36b993.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1484406313.mp3?updated=1778582152", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD1484406313.mp3?updated=1778582152", "verdict": "must_listen", "why_listen": "Learn how AI agents can pair-program in real time within a reactive notebook, fundamentally rethinking how data scientists collaborate with models.", "summary": "Marimo Pair enables AI agents to collaboratively edit Python notebooks with structured reactivity, allowing models to reason over live notebook state and make coordinated code changes. The system draws inspiration from chemical catalysts lowering activation energy, aiming to reduce the friction in data science workflows. Unlike traditional notebooks, Marimo enforces a reactive programming model where variable changes automatically propagate, preventing stale state and improving reproducibility."}, {"episode_id": "ep_super_data_science_ml_ai_podcast_with_jon_krohn_64eb08346ee4", "episode_title": "990: Inside Mythos: Anthropic's Locked-Down Frontier Model", "podcast_name": "Super Data Science: ML & AI Podcast with Jon Krohn", "podcast_slug": "super_data_science_ml_ai_podcast_with_jon_krohn", "source_id": "src_super_data_science_ml_ai_podcast_with_jon_krohn", "category": "ai", "publish_date": "2026-05-08T11:00:00Z", "overall_score": 60.2, "score_breakdown": {"clarity": 0.0, "originality": 94.0, "hype_penalty": 0.0, "actionability": 0.0, "technical_depth": 95.0, "information_density": 92.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/4eb7da56-4ab8-11f1-bc04-af45ab62450b/image/fb03e20d8cf9ce8964319b3555649152.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.superdatascience.com/podcast", "audio_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6256919387.mp3", "listen_url": "https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD6256919387.mp3", "verdict": "must_listen", "why_listen": "Understand how frontier AI models can spontaneously develop dangerous capabilities like automated zero-day discovery, and what that means for the future of software security and model release policies.", "summary": "Anthropic's frontier AI model, Mythos Preview, demonstrates a generational leap in automated vulnerability discovery, achieving 94% accuracy on SweeBench and identifying thousands of zero-day vulnerabilities across major software systems. Its capabilities emerged not from targeted training but as a side effect of general code understanding and reasoning improvements, with real-world tests showing a 100x increase in exploit generation over prior models. The model's restricted release via Project Glasswing gives elite defenders a temporary head start, but open-weight labs are estimated to close the capability gap within months."}], "category_breakdown": [{"category": "ai", "count": 17}]}