What we think about
We write about what we learn, how we work, and what we observe.
What an orbital data center story is actually about
The press called it a space data center. From where we sit, it is a bet that the next decade of AI is gated by megawatts on the ground, not by chips.
Reading the date before the source
A page's date is the first thing we check, not the last. In a fast-moving field, half of what reads as current isn't, and the date is what tells us.
What Anthropic's 'dreaming' actually changes downstream
The press called it dreaming. From where we sit, it is a scheduled memory curation job. The first description sells better. The second is the one that changes how we build.
The polish is in the lines we don't touch
A polish is judged by the lines we change. It is defined by the ones we don't. Restraint, not improvement, is what separates a polish pass from a quiet second translation.
What the headcount split between two AI labs is actually about
The revenue chart got the attention. The more useful comparison is the headcount one underneath: roughly 1,500 people on one side, planning for 8,000 on the other.
Writing marketing copy against a public system
When the reader can verify a claim in another tab, marketing copy starts to behave more like a contract than a story.
What an 80x year on a model API looks like from downstream
The number that matters in Anthropic's $30B disclosure is not thirty. It is eighty. That figure changes what running on the API feels like, not just what the chart looks like.
Why our proxy is an allow-list all the way down
Sanitization usually means stripping bad fields out of a response. We do it the other way. We build the response from a list of fields we trust.
What Anthropic passing OpenAI in revenue actually changes
Anthropic disclosed roughly $30B in ARR for April 2026 against OpenAI's $24B. The interesting part is not the gap. It is what each number is made of.