Why This Is AI's 1980s Garage Moment for Students

School's Out Saturdays on the AGI Podcast - Because our job is to prepare students for their future not our past. (Episode 3)

Episode Summary:

Columbia Masters grad turned Wall Street quant trader turned AI entrepreneur shares what set him apart in the 2009 crisis, why he ditched banking to build products nobody wanted, and why students need digital literacy more than traditional education in the age of AI.

About My Guest

Nirav Nimish Shah is Co-founder at Quantal AI | Columbia University CS Masters | Former UBS Wall Street Quant Trader | AI Transformation Consultant specializing in financial services. Located in India. Nirav builds AI-driven solutions for enterprise finance and teaches workshops on practical AI implementation.

Guest Links

Nirav on LinkedIn: https://www.linkedin.com/in/theniravshah/

Quantal AI: https://www.quantaltech.ai/

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Key Timestamps:

00:25 - Columbia Masters to Wall Street trading floor during the 2009 meltdown

05:16 - What set Nirav apart when everyone else was getting laid off: curiosity about business problems over self-promotion

10:56 - Quitting a six-figure Wall Street job with no concrete plan (emotional vs practical decisions)

20:00 - Building a Twitter clone for six months without talking to users (expensive lesson learned)

40:30 - Why Indian schools are stuck teaching 1980s computer fundamentals while students need AI literacy

48:20 - Replace traditional subjects with digital literacy: how to verify information and navigate AI-generated content

56:07 - Students need business skills for managing their online presence and mental health in social media age

57:26 - Get hands dirty with open source models (Llama) instead of chasing Chinese models or breaking regulations

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