My personal essays on AI and people.
There's a lot going on in AI, and there will be more. Most of it is hype and noise. I want to cut through that — dig into facts, data, raw information, even when they contradict each other, so that I can form my own views.
Essays
AI Consumer Apps
Writing
How AI agents actually affect work
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How AI actually works in healthcare
A look at what AI is doing across healthcare in 2026 — where it's delivering real results, where the evidence is more complicated than the pitch, and why the stakes make both sides matter.
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How AI SRE agents actually perform
The AI SRE market is valued at over $32 billion. The gap between what the industry promises and what happens in production is wide — and the data shows it's getting wider.
governance
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A map of AI governance
Dozens of institutions, summits, and declarations. Almost zero enforcement. For every $1 spent on AI safety, $600-1,200 goes to capability. Here's what actually exists, what power it has, and what's missing.
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How to participate in AI safety
A practical guide to every organization working on AI safety and governance — sorted by what you can do today vs what requires years of preparation. Covers the US, China, and international landscape.
utopia
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The happy path with AI
Most writing about AI futures is either utopian hype or existential dread. This is an attempt at something harder: a concrete, step-by-step path from where we are now to an outcome worth wanting. Every step is difficult. Some may be impossible. But without articulating the path, we can't tell if we're on it.
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What Actually Makes Humans Happy
Harvard tracked 2,500 people for 87 years. Neuroscience says dopamine is about wanting, not pleasure. Happy people take more risks. And Nick Bostrom argues that a solved world might be the hardest place to find meaning.