987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv

987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv

April 28, 2026 · 1h 18m

About this episode

Linda Haviv discusses the importance of staying current in AI, the impact of open-source technology, and the advantages of non-linear career paths in tech.

Linda Haviv talks to Jon Krohn about staying current on AI matters, why open-source technology is narrowing the gap in its race with proprietary models, and how being a content creator in tech is key to career growth and longevity. She emphasizes that non-linear pathways to a career in tech can give applicants an edge, and stresses the importance of continuous upskilling to “stay relevant.” In her view, systems thinking is becoming more important than coding skills. Hear why in this episode. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/987⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:43) Linda Haviv on AI education (13:16) The future of coding (27:00) Having a side hustle in today’s economy (31:01) On becoming a content creator for tech (1:00:14) How open source could disrupt the AI landscape

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