Useful Resources for AI

Newsletters/blogs:
– TLDR AI (https://tldr.tech/ai) – Andrew Tan
– Ben’s Bites (https://lnkd.in/gNY8Dmme)
– The Information *paid subscription required (https://lnkd.in/gbkaFbvf)
– Last week in AI (https://lastweekin.ai/)
– Eric Newcomer (https://www.newcomer.co/)

Podcasts:
– No priors with Sarah Guo + Elad Gil (https://lnkd.in/g7Wmr6XT)
– All-in podcast – not AI specific but they talk a lot about it (https://lnkd.in/gH35UeUy)
– Lex Fridman (https://lnkd.in/gjw7zsWX)

Online courses:
DeepLearning.ai by Andrew Ng – https://lnkd.in/gWcn5UTK

Institutional VC writing: 
– Sequoia (https://lnkd.in/g-cKpn8Y)
– A16z (https://lnkd.in/g6JxqwZA)
– Lightspeed (https://lnkd.in/gczzdEcd)
– Bessemer (https://www.bvp.com/ai)
– Radical Ventures (https://lnkd.in/guCe5Mnt); Rob Toews (https://lnkd.in/ggH8HfT8) and Ryan Shannon (https://lnkd.in/gRrBzePx)
– Madrona (https://lnkd.in/gy5D8yNG)

Industry Conferences:
– Databricks Data + AI Summit (https://lnkd.in/gF5QyXYv)
– Snowflake (https://lnkd.in/gavqzw65)
– Salesforce Dreamforce (https://lnkd.in/gJk4r58N)

Academic Conferences:
– NeurIPS (https://neurips.cc/)
– CVPR (https://cvpr.thecvf.com/)
– ICML (https://icml.cc/)
– ICLR (https://iclr.cc/)

Books:
– Genius makers, by Cade Metz (https://lnkd.in/gr_78MB9)
– A Brief History of Intelligence, by Max Bennett (https://lnkd.in/g2uCrPzS)
– The worlds I see, by Fei-Fei Li (https://lnkd.in/gY8Qsvis)
– Chip Wars, by Chris Miller (https://lnkd.in/g6ZAZSCG)

The original author of this post was Kelvin Mu on Linkedin.

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