{"podcast":{"title":"Super Data Science: ML & AI Podcast with Jon Krohn","slug":"super-data-science","podcast_index_feed_id":220402,"rss_url":"https://feeds.megaphone.fm/SUPERDATASCIENCEPTYLTD9836501887","website_url":"https://www.superdatascience.com/podcast","image_url":"https://megaphone.imgix.net/podcasts/efa92454-1c31-11ef-9e30-03596b470c27/image/fa89a437c64da92a50cbd840aa42abfd.jpeg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"Jon Krohn","episode_count":1012,"summary":"The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.","last_synced_at":"2026-07-22T00:21:00.507750+00:00","page_url":"https://stenobird.com/podcast/super-data-science"},"episode":{"title":"998: In Case You Missed It in May 2026","slug":"998-in-case-you-missed-it-in-may-2026","published_at":"2026-06-05T11:00:00+00:00","page_url":"https://stenobird.com/podcast/super-data-science/998-in-case-you-missed-it-in-may-2026","show_page_url":"https://stenobird.com/podcast/super-data-science","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","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","summary":"In this month’s episode of ICYMI, Jon Krohn explores how AI agents are simultaneously creating new risks and unlocking powerful new ways of working with data. Hear from Anneka Gupta, Cal Al-Dhubaib, Trevor Manz, Jazmia Henry, Jeremy Mumford, and Jacob Miller, discussing why the old cybersecurity playbook breaks down in the age of Claude Mythos, how the notebook became an AI agent’s working memory, what it really takes to build a foundation model from scratch, and why failing slowly is the most expensive mistake an AI team can make. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/998⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (00:40) Why Claude Mythos Changes Everything About Cybersecurity (08:11) Why Your Notebook Should Be Your Agent’s Working Memory (13:19) What It Actually Takes to Build a Foundation Model From Scratch (20:46) Failing Slowly Is the Most Expensive AI Mistake","meta_description":"In this month’s episode of ICYMI, Jon Krohn explores how AI agents are simultaneously creating new risks and unlocking powerful new ways of working with d…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1661,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/super-data-science/episodes/998-in-case-you-missed-it-in-may-2026/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/super-data-science/998-in-case-you-missed-it-in-may-2026.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}