1006: In Case You Missed It in June 2026
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?
1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom
Gilbert Eijkelenboom, bestselling author of People Skills for Analytical Thinkers and founder of the training firm MindSpeaking joins Jon Krohn to make the case that communication is a core data skill, not an optional extra. Gilbert shares the “And, But, Therefore” framework for turning dense analysis into a story stakeholders act on, the research suggesting only around 15% of people are genuinely self-aware (and how journaling, meditation, and exercise help close that gap), how childhood experiences install behavioral “algorithms” we carry into the workplace and why behavior change precedes attitude change, so doing small, uncomfortable things for 30 days can rewire how you see yourself.
Additional materials: https://www.superdatascience.com/1005
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(02:54) Why your analysis only creates value once people actually use it
(24:53) What it really means that only ~15% of people are self-aware and how to close the gap
(34:01) The “And, But, Therefore” framework for data storytelling
(37:44) How childhood installs personal “algorithms” and the keep/stop/start question to surface them
(46:55) Why behavior change comes before attitude change (the 30-day practice)
(50:33) Defusing the trigger between data teams and pushy stakeholders