{"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":"1006: In Case You Missed It in June 2026","slug":"1006-in-case-you-missed-it-in-june-2026","published_at":"2026-07-03T11:00:00+00:00","page_url":"https://stenobird.com/podcast/super-data-science/1006-in-case-you-missed-it-in-june-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/SUPERDATASCIENCEPTYLTD3098511259.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/SUPERDATASCIENCEPTYLTD3098511259.mp3","summary":"In this month's episode of ICYMI, hear from Chip Huyen, Andrey Kurenkov, Frank Basso and Gilbert Eijkelenboom, discussing why moats are shifting toward physical systems and accumulated product intuition, how Astrocade built vibe coding before the term existed, what it's really like inside a deafeningly loud AI data center, why only 15% of people are technically self-aware and whether AGI requires anything like consciousness. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/1006⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (00:00) The Cost of Building Software Is Going to Zero — Now What? (10:18) We Built Vibe Coding Before Anyone Called It That (21:08) AI Data Centers Are Louder Than a Rock Concert (28:39) Why 85% of Data Scientists Can't Communicate Their Work (33:46) Are Humans Also Just Predicting the Next Token?","meta_description":"In this month's episode of ICYMI, hear from Chip Huyen, Andrey Kurenkov, Frank Basso and Gilbert Eijkelenboom, discussing why moats are shifting toward ph…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2646,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/super-data-science/episodes/1006-in-case-you-missed-it-in-june-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/1006-in-case-you-missed-it-in-june-2026.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}