Curated by Paul Nunesdea
Resources worth your attention
Books, tools, and links I return to. Not a comprehensive list — a personal one. Everything here has shaped how I think about AI, attention, and the mind.
Books on attention & deep work
The most thorough investigation I've read into why our attention is collapsing — and what the structural causes actually are. Not a self-help book. A diagnosis.
The case for protecting long, uninterrupted blocks of focused work. Written before the current AI wave, but more relevant now than when it was published.
How the internet has been reshaping our brains since the early web era. A prescient book that reads differently now that AI is doing the same thing, faster.
On AI & the thinking mind
The most balanced and practically useful book I've read on working with AI. Mollick neither panics nor cheerleads — he experiments, and reports honestly.
A rigorous, readable account of what it actually means to build AI systems that do what we want. Essential background for anyone thinking seriously about AI governance.
Tools I actually use
My primary AI assistant for writing, research, and thinking through complex problems. I find its reasoning more careful and its tone more suited to long-form work than the alternatives.
For research with sources. I use it when I need to verify claims quickly or explore a topic I don't know well. The citations make it far more trustworthy than a bare LLM.
Something missing?
If you have a book, tool, or resource you think belongs here, I'd genuinely like to hear about it.
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