The questions I keep coming back to, sorted by topic. Some are quick reads. What stays with you isn’t.
All resources
The tobacco analogy for AI costs holds at first glance. On missing visibility, structural critique, and why usage competence is an accountability question.
The O(n²) constraint that shaped AI for nine years, and the SSA claim that might finally break it.
In every gold rush, the ones who get rich sell the shovels. Who are today's shovel sellers, and what does that mean for everyone else?
The same narrative has followed every new technology. What does that repetition reveal, and what does it hide when we reach for AI?
In 2019 I spent three months with PEACH, a digital personality coach. What I learned about structure, presence, and the question I couldn't ask out loud.
Using Claude Code to finally build the website I'd imagined for years. What that means for skill, agency, and what counts as building something yourself.
Are we chasing the same dream for 200 years? What the railroad, longevity startups, and Nvidia have in common.
We reach for AI because it eliminates struggle. But struggle is how we build competence. Which ones can we afford to skip?
While billions follow the AGI prophecy, recent studies show humans outperform AI at problem-solving. A case for curious questioning.
The tech industry never stops. What does meaningful learning look like when 'keeping up' feels impossible?
In a world of infinite tutorials and courses, how do we choose what to actually learn, and make it stick?
Technology offers infinite possibilities and infinite distractions. How do we make conscious choices instead of just reacting?
Every algorithm rewards the quick take. But the most valuable thinking is often the kind that takes time, and can't be rushed.
If you've ever noticed that the way people talk about AI
already decides how you feel about it, this is for you.