Lex Fridman Podcast Jeremy Howard: fast.ai Deep Learning Courses and Research
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Aug 27, 2019 
Jeremy Howard, founder of fast.ai and a distinguished AI researcher, discusses making deep learning accessible to all. He explores the advantages of self-funding startups, shares innovative learning strategies, and reveals his journey in programming. The conversation touches on using AI to revolutionize healthcare and the balance between privacy and data use. Howard also highlights hands-on learning in AI, success stories from his courses, and the societal implications of artificial intelligence, advocating for ethical considerations in its development.
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Musical Scales Program
- Jeremy Howard's first program, written in BASIC on a Commodore 64, explored alternative musical scales.
- He aimed to find scales with more harmonically accurate ratios than the standard 12-interval scale.
Data and UI in Programming
- Jeremy Howard values programming environments that simplify data management and UI creation.
- He praises Microsoft Access's intuitive approach, unmatched by modern tools.
Array-Oriented Programming
- Jeremy Howard champions J, an array-oriented language derived from APL, for its expressiveness and composability.
- He highlights the power of array-oriented programming, contrasting it with imperative and object-oriented paradigms.