Must-read AI books & channels
A curated list of foundational reading plus the AI channels and research pages worth bookmarking.
Build your AI library with a focused reading plan and keep the best channels within reach.
Books
Narrative + technical context to build a durable mental model of AI.
Futurist, fictional inspiration that frames early AI imagination.
Scenarios and governance questions for advanced AI.
Foundational text on risks, takeoff paths, and control problems.
Optimistic look at AI as a force multiplier for human agency.
Geopolitics, innovation patterns, and talent ecosystems.
Human values, bias, and the messy work of alignment.
Why we need provably aligned, provably safe systems.
The next technology surge and the containment challenge.
Economic framing for how AI changes decision costs.
Survey of core ML paradigms and what unifies them.
Not an AI book, but the communication and delegation frameworks translate directly to managing AI agents as teammates. It sharpens listening, feedback, and conflict-resolution habits so you can set expectations, anticipate failure modes, and keep human-AI collaboration resilient.
Essential AI channels
Stay current with research updates, product launches, and thoughtful commentary.
Model behavior, safety research, and policy deep dives.
Model launches, product demos, and research explainers.
Fast, approachable breakdowns of new research.
Curriculum-grade tutorials and research summaries.
Long-form interviews with researchers and builders.
Design, business, and creative strategy insights.
Storytelling and communication coaching for modern careers.
Product perspective on AI, creativity, and future-of-work shifts.
Research pages
Go deeper with primary sources and public research hubs.
Publications, safety notes, and model cards.
Papers, system cards, and technical reports.
Frontier model work across alignment, robotics, and science.
Human-centered AI reports, policy, and benchmarks.
Track SOTA results with code and benchmarks.
Daily feed of new AI and ML papers.