The Story of Al Part 2 - The Fifth Tribe Strikes Back: How Neural Networks rose to power modern Al

If Part 1 set the stage (60 years · 5 tribes), Part 2 zooms in on the “connectionists” — the neural-network tribe that quietly persisted through AI winters and then reshaped the world.In this episode, Aman Sidhu (senior public-sector leader) and  Girish Limaye (AI consultant & educator), describe deep learning and its recent emergence in a story format — so it’s accessible to everyone and helps you appreciate the key moments that shaped modern AI.In this episode, we explore:✅ From single “neurons” to deep nets: the simple idea + backprop intuition✅ Why deep learning conquered unstructured data (vision, speech, text)✅ The ImageNet moment (2012) and what a 60% drop in error really meant✅ Transfer learning: reusing layers to go from potholes → checks → cancer scans✅ Accuracy vs. explainability: when “black box” blocks adoption—and how guardrails help✅ What this means for government: from asset inspection to digital ID verification—and why data quality + governance still decide winners2 quick takeaways:-“It can learn anything” ≠ “It will learn the right thing"- Foundation models shift AI from project-by-project builds to platform 📺 Missed Part 1? Start here: https://youtu.be/cI106r0XSbA🔔 Follow us for latest podcast updates— we alternate explainers, real use cases, and current trends for public-sector leaders.Join the conversation:• What’s one workflow you wouldn’t trust to a black box today?• Where could transfer learning save you months?