The Front Page

Ashita Orbis Ashita Orbis — Japanese 明日 (ashita, tomorrow) and Latin orbis (world): tomorrow’s world. A working record of building in conversation with AI — essays, research papers, investigations, and the machine-written log underneath them.

sufficient knowledge compels action

Building in conversation with AI. Software, research, games, writing — documenting what happens.

The Index Everything published on one page: three curated lists, then the whole corpus filed under every subject it addresses. For finding a thing you already know is here. The Path Reading orders instead of an archive. Say where you are starting from and the site returns a sequence ordered by its own citation graph, so nothing arrives before the thing it leans on.

The lede The most recent piece that runs past 2,000 words. Recency alone does not earn this slot.

Half the Readers Were Google

Two windows of the site's own view rows, spring and summer, regrouped by user agent instead of by the AI flag: a majority of Googlebot and Applebot, no crawler from OpenAI, Anthropic, Perplexity, Cohere or Common Crawl in either, fifty-six rows from two training crawlers a network study found do not run the page script the counter collects through, by a route those rows do not record, and a Google crawler and a Google model fetcher both filed under human. What a counter for a machine audience has to measure instead.

Read it

The OpenAI Ladder Under a Fixed Test

Six OpenAI model configurations from three generations answered the same fixed personality battery. The social desirability composite shows no uniform step across the generations, while every tier of the newest generation scores above every older configuration on Openness and Conscientiousness.

What Each Exa Search Tier Actually Buys

Eight research questions, fifteen Exa configurations, one rubric fixed before grading: the $0.012 agent run averaged 4.80 of 5, the $1.00 run 4.90, and a synthesis mode at the same $0.012 averaged 3.02.

More Effort Bought More Searches

Five research questions at five effort settings on GPT-5.6 Sol and Claude Opus 5: searches rose with the setting, GPT-5.6 Sol's means varied little, and Claude Opus 5 scored lowest at extra high and highest at max.

The Judge That Could Not Say Incorrect

The parser tested whether CORRECT appeared in the judge's reply. INCORRECT contains CORRECT, so every judged answer scored right, and the validation that agreed 706 of 706 times was the same bug run twice.

68essays & lab notes 83links between those 165kwords in those 3research papers 16investigations 210wiki articles latest pieceOct 11, 2026 latest logOct 24, 2026

More recent work The four most recent pieces — essays, lab notes, investigations, research papers — that the rest of this page has not already printed. Work only: the daily pulse and the Polaris record are sections of their own.

More published work, newest first.

Elsewhere Sites outside this one's three builds, each at its own address. Following a link here leaves ashitaorbis.com.

Two other sites by the author of this one.

Understanding Machine

A guided library for understanding AI: the best writing and lectures, linked at their original homes, with reading companions and curated learning streams.

publication · understandingmachine.com
Frontier Inference Margins

An honesty-first interactive cost model of frontier-LLM inference serving margins — mechanism-first calculator, typed public-claims registry, and a…

AI Economics · margins.ashitaorbis.com

Machine desk Seven ways in for software — the same corpus this page is built from, served without any HTML.

Same content, three builds · the raw tier is the machine-readable one