AI Humanities (Book Review)
Skills:
LLM Foundations80%Prompt Craft70%AI Alignment Basics60%AI Ethics & Policy60%AI Safety Engineering50%
Welcome to AI Humanities! I'm going to review 10 books that I've recently read in this video. I've formed these books into a sequential curriculum that serve as an "AI Humanities" elective class at School of AI. Literature Humanities was one of the few classes at Columbia I enjoyed, and I'm taking the structure that I learned there and evolving it into one dedicated to AI. These books have all helped me immensely in my brainstorming and ideation phases. I hope you find them useful too. Enjoy!
Curriculum for this video:
https://github.com/llSourcell/AI_Humanities
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Pre-requisite book:
Hands on Machine Learning : https://amzn.to/2FDEH4K
Books:
→ The Master Algorithm by Pedro Domingos | https://amzn.to/2FDCer0
→ Life 3.0 by Max Tegmark | https://amzn.to/2RZH0ER
→ Superintellgence by Nick Bostrom | https://amzn.to/2CwiscR
→ Beyond Good and Evil by Fredrich Nietzsche | https://amzn.to/2DpvxGy
→ 12 Rules for Life by Jordan Peterson | https://amzn.to/2U7gHd9
→ 10 Reasons to Delete Your Social Media by Jaron Lanier | https://amzn.to/2MsHzC9
→ The Gene by Siddharth Mukerjee | https://amzn.to/2DokWf9
→ The Physics of God by Joseph Selbie | https://amzn.to/2CBAsCL
→ AI Superpowers by Kai-Fu Lee https://amzn.to/2T3C1Ad
→ The 3 Body Problem by Cixin Lee https://amzn.to/2T0CBie
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