10 posts
For most of computing history, thinking was free. In 2026 it got a price tag, and almost nobody clocked the moment. We turned cognition into a metered utility, and every metered utility eventually gets gamed. A look at where token economics actually leads.
Meta built a leaderboard ranking 85,000 employees by token consumption. Amazon pressured 80% weekly AI usage targets. Uber burned its entire 2026 AI budget in 4 months. All three have now scrapped their leaderboards. The best engineers never needed them. They code with intent, not volume.
Cortical Labs grew 200K neurons on a chip, taught them to play Doom, then wired them into an LLM. The neurons now override token selection in real time.
DORA surveyed 5,000 devs. AI makes good teams great and broken teams worse. Here is the 7-capability playbook that separates the two.
I prompted a full video compilation start to finish — download, edits, overlay, lyrics, transitions, export. No editor touched.
The models already have the raw capability. The jagged intelligence frontier is not about the AI — it is about you.
Daniel Priestley's reasoning is rock-solid: AI commoditizes knowledge work while physical skills become the new premium.
If 1 agentic coding agent makes you a 10x dev, a swarm of 50 turns you into the CTO of a relentless AI engineering team.
Vibe Maxing: where builders orchestrate entire fleets of AI agents running in parallel, debugging each other, shipping features while you sleep.
From zero AI to full agent orchestration — a framework for understanding where you are on the AI-assisted coding spectrum.