{"generated_at": "2026-05-30T21:29:47.691506Z", "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": 6, "avg_signal": 61.0, "median_signal": 55.5, "top_signal": 80.0, "latest_episode_at": "2026-05-29T11:00:00Z", "earliest_episode_at": "2026-05-08T11:00:00Z", "category_mode": "ai", "cover_image_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", "rank_score": 116.746, "episodes": [{"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": 6}]}