The people building AI expect machines, not people, to do the reading. Six deep dives on what that means — for the documents in your life, and for the tools that were only ever built to store them.
The web was built for human eyes; it's being quietly re-architected for machine readers. What it means that most attention on the world's information is about to be AI attention, not human — and why the documents in your own life are part of the same shift.
For the first time, the reader of your documents isn't you. What we lose and what we gain when the act of reading moves from people to machines — and why that's less an ending than a handoff.
The vision the people building AI actually hold: a model with your entire life in context — every document, every email, reasoned over on demand. What that future asks of the tools that hold your information today.
The premise turned into a promise. Why not-reading is the goal rather than the compromise, and what's left for you once the reading is handled — the better half of the work: asking the question, and deciding what the answer means.
Software spent thirty years assuming you'd come back and read what you saved. That assumption just broke. The short, sharp version of why storing documents and answering them are different jobs.
Not the alarming version — the practical one. Where machine reading already outperforms human reading, where it doesn't, and how to trust an answer when you didn't read the source yourself.
The product behind the series reads your whole archive so you can ask it anything.
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