Topic: tech-labor
Productivity Mirage
Opening: The Wrong Labor Ledger
There is a category mistake hiding inside the current AI labor argument.
A lot of people talk as if AI is compressing official software engineering work: sprint-planned product work, core systems, mature…
Seeing Multiple Futures Is Not a Shonen Fantasy
It is how you survive a world that keeps changing the rules.
Markets shift. Careers break open. Countries become more or less viable. Big plans stop being linear.
Inside a company, this kind of thinking is usually split across several people.
A PM…
2-Body Problems and the Intelligence Illusion
Why Language Models Fail When Truth Is Co-Defined
Abstract
Most commentary on large language models still frames their limitations in terms of intelligence, hallucination, or benchmark performance. That framing is too coarse. The more…
The Ledge & The Sludge
Practical categories where AI still struggles
1. Ownership and lifecycle design
- Deciding who owns a value, not just how to wrap it
- Borrowing versus retention across module boundaries
- Lifetime management across async work
- Destruction as…
Number One AI Skill
The New Abundance
Artificial intelligence has changed the experience of building things. Tasks that once required days of work can now begin in minutes. A prototype can appear quickly. A system can be sketched out, coded, and refined with assistance…
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