Energy Grid Priority
Reading Time: 3 minutesWould an AI grid controller accept a human override? Safe interruptibility explained, with lessons from the 2021 Texas blackouts.
The Token Diaries #5 — Selling by the Syllable
Reading Time: 5 minutesBatch, priority, fast mode, free tiers and scheduled price rises: how AI vendors price, limit and profit from every token, and how buyers can respond.
A Bird Hit My Window in Bengaluru. What Should I Do?
Reading Time: 2 minutesA practical Bengaluru guide to bird–window strikes, with local rescue advice, a collision reporting form, and prevention steps for homes and apartment associations.
Worker Optimization
Reading Time: 3 minutesAI worker monitoring can push a metric until it hurts people. A thought experiment on Goodhart’s law, with Amazon’s time-off-task case.
The S-1 Is Public. Find the Token Numbers in It
Reading Time: 5 minutesA reading guide to Anthropic’s S-1: where revenue, cost of revenue, compute spend and commitments sit, and what the filing does not say about tokens.
Your AI Bill Doubles on 1 December. Has Anyone Told Finance?
Reading Time: 5 minutesGemini 4 Argon costs $2/$10 per million tokens until 30 Nov, then $4/$20. See every tier, one workload re-priced, and five steps before 1 December.
Your Boss’s AI Can Still Watch You Work. It Can’t Guess How You Feel
Reading Time: 5 minutesCalifornia’s AB 1883 bars AI that infers workers’ emotions or collects neural data. See what it bans, what stays legal, and the safety clause lawyers dispute.
One Request, Every Data Broker: What California’s DROP Actually Deletes
Reading Time: 5 minutesCalifornia DROP lets residents send one deletion request to 600+ data brokers. Here is what brokers must do, what it skips, and what the first fine was for.
The Token Diaries #4 — Your Prompts, Their Data
Reading Time: 5 minutesAI skill pays, but every prompt is also a log entry. What employees should know about prompt records, shadow AI and who reads your AI diary.
Ecosystem Restoration
Reading Time: 3 minutesAI ecosystem restoration gone wrong? A thought experiment on AI side effects, using the 1935 cane toad release as a warning.