Cast a wide net
In order to stay current with generative AI (or any technology), I’ve always found it important to cast a wide net. Don’t only follow people similar to yourself—such as those from your same profession, political viewpoints, or demographics. Instead, look worldwide. Seek out many different professions, and draw from a mix of sources: newsletters, social media, LinkedIn, YouTube channels, and podcasts.
Here are my top recommendations for people and groups to follow to stay current with generative AI—organized by topic. This isn’t exhaustive, but it’s a strong starting point.
Higher eduction
Libraries
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Aaron Tay (academic search tools)
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Nick Tanzi (public libraries)
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Elissa Malespina (school libraries)
Understanding the research
Understanding AI in business
- Nathaniel Whittemore – The AI Daily Brief on YouTube
- Azeem Azhar – Exponential View
Copyright
- Matthew Sag
- Andres Guadamuz
- Carys Craig (see The AI-Copyright Trap)
- Dave Hansen – Authors Alliance
AI & environment
AI & accessibility
- Steven Aquino
- AI for the Blind (Facebook group)
Generative art, architecture, video, music
- Kelly Boesch (art & music)
- Dr. Nettrice Gaskins (art)
- Tianyu Xu (images & video)
- AI Video School (video)
- Joshua Vermillion (architecture)
- Holly Herndon (music)
- Steve D. McDonald (art)
Other topics
- Jeff Jarvis (journalism)
- Jordan Schneider (AI in China)
- Caroline De Cock (governance) – Information Labs on LinkedIn
- Daniel Jeffries (open source AI)
- Nirit Weiss-Blatt (AI hype & panic)
- Daniel Nest (practical tips for all types of generative AI)
- Timothy B. Lee (generative AI news)
- Nathan Labenz (podcast interviews with creators)
These are the sources I’ve found most balanced and informative over the past year. Pick and choose according to your interests. This list will change over time, and I’ll probably share an updated list next year. Feel free to reach out if you’d like to recommend additional sources!
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