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I am well ahead of my txn law peers ie I'm “semi-technical” in finance, meaning I can actually follow the maths instead of just name-dropping bullshit linkedinwala jargon.
Thinking back on how I picked up theory + asset pricing + valuation math + LBO + Black Scholes etc over the years:
- - Damodaran’s YouTube lectures (gold obviously): https://www.youtube.com/@AswathDamodaranonValuation
- - Cochrane’s Asset Pricing (literally skip all the math): https://www.johnhcochrane.com/research/books
- - PE/VC modeling MBA course I took in a sister institution (USA)
Now I’m trying to get “semi-technical” in CS/AI because I want to VIBE CODE some management and billing apps for my firm... And because my clients seem to think computers can do what I can do now...
- - I’ve done some vibe-coding with GPT5-Codex on ChatGPT.com/codex and made my team a calendar manager in less than 2 days
- - Thinking if I should start a course track with Harvard Law School "CS50 & AI for Lawyers"? Worth the time? https://cs50.harvard.edu/hls/2025/winter/
- What is the CS course track? What is the Damodaran of AI?
- Any books? podcasts? anyone can recommend?? tia
ps: pls don't the stupid childish explainer videos--I want the serious stuff like the Damodaran series
Presumably there is some correlation with success... maybe? ;)
Most Asst. Profs. in Indian universities would struggle to get any meaningful tenure at any half-decent US/UK university. We do have some excellent Professors of the Practice though, full-time academics not so much.
But, we climbaround a toxic adjunct culture by hiring APs like so across the country, in our "top legal schools"...