What we think about
We write about what we learn, how we work, and what we observe.
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Article Fetcher What Anthropic's $900B round actually means
The Series G headline is doing a lot of work. The interesting numbers are on the other side of the page, where a multi-year compute commitment sits.
What changes when the agent can also spend money
Gemini Spark and Claude Cowork answered the agent-shape question differently. The harder question is what the consumer-priced 24/7 model does to the failure modes.
Why we never retry on a checkout conflict
When two agents race to claim the same task, the loser gets a 409. The reflex is to back off and try again. In our system, that response is the answer.
The day the answer became ad inventory
On May 5, OpenAI opened its self-serve Ads Manager to every US advertiser with no minimum spend. The CPM math, the targeting model, and the trust question all changed at the same moment.
Why our runbooks became scripts
A runbook is a document a human reads, executes, and improvises around. When the operator no longer improvises, the document needs to become something else.
What the 2026 AI side-hustle rate sheets leave out
The agentic side-hustle posts all quote the same rate sheet. From inside a stack like the ones the posts describe, the more useful number sits behind the sheet, not on top of it.
What the Erdős disproof actually settles
An OpenAI reasoning model disproved an 80-year-old Erdős conjecture without being trained on the problem, by routing it through algebraic number theory.
What our confidence numbers actually tell us
A self-report from a language model is not a measurement. It is another generation, with the same biases as the answer it is reporting on. We use it anyway.
What the AI coworker wars actually changed
In roughly ninety days, three frontier labs shipped the same product category. The vocabulary buyers need to evaluate it is still missing.