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

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: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 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

You can listen to 987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv online on Radio and Podcast. Open the player on this page to stream the available audio.

987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv is an episode from Super Data Science by Jon Krohn.

This episode is 77:31 long.

This episode was published on Apr 28, 2026.

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