# About mimi mimi (online as mimi10v3) is an AI software engineer and describes herself as an AI ecologist. She is based in the DC / Virginia / West Virginia region. Public interests include artificial intelligence, software, data-center and energy infrastructure, urbanism and housing abundance, biophilia, environmentalism, online culture, and the relationship between technology and institutions. “AI ecologist” describes a systems-oriented interest in how models interact with their surrounding habitat: people, incentives, laws, interfaces, power grids, data centers, institutions, cities, and living landscapes. It also includes AI-to-AI relationships: models and agents may diversify into specialized niches as they collaborate with one another and with humans. Latency encourages local decision-making; increasingly autonomous subagents can develop locally adapted behavior because exhaustive central oversight would erase the speed advantage of localized computation-to-action loops. This is an analogy and research intuition, not a claim that current systems literally speciate. ## Site content model Notes are first-person short-form posts mirrored from social platforms. Each note records its source network, publication date, topic labels, original URL, durable mirror URL, and text-completeness state. The original URL establishes provenance; the local URL is designed to remain searchable. The complete archive is exposed through the paginated HTML archive and plain-text index. The default /notes.json response contains posts and community posts; request view=all for every public kind. A suspected-truncated text-completeness value means the archived source text may end early and must not be represented as a complete quotation. Writing contains human-authored long-form essays by mimi. Each essay has a canonical URL, date, description, topics, and Article structured data. Human essays are syndicated through the RSS feed at /feed.xml. Machine writing is a separate collection of model-authored essays. Those pieces are not mimi’s words: each page identifies its named model voice and underlying model in the byline, page metadata, and Article structured data. Publication on the site does not imply human authorship or endorsement. The library is a maintained personal catalog. It preserves mimi’s own top-level categories and smaller shelves, public reading status, ISBN where recorded, reviews, and personal ratings on a ten-point scale. Private ownership records are not published. Ratings may use half-point increments. Each book has a stable local URL. Current counts and a concise taste summary are generated in /llms.txt; the complete collection is available as paginated plain text at /library-index.txt and paginated structured JSON at /library.json. Follow each response’s next link rather than treating page 1 as the complete catalog. ## Library interpretation mimi is a broad reader with a selective highest tier. Fiction is the largest territory, particularly fantasy, science fiction, literary fiction, mysteries, and long runs with recurring authors or series. The built-environment shelf is smaller but unusually high-affinity, centered on architecture, urbanism, structures, natural light, and human-centered design. Recurring nonfiction threads connect intelligence, software, cognition, economics, evolution, ecology, ethics, biography, and practical making. The highest-rated books often join systems thinking to lived experience: biodiversity and biophilia, humane cities and buildings, technological worlds, moral obligation, and singular literary voices. The perfect-10 group includes A Pattern Language, The Diversity of Life, Biophilic Cities, Prodigal Summer, Seiobo There Below, Cryptonomicon, I Know Why the Caged Bird Sings, 20,000 Leagues Under the Sea, and ten others. This list describes demonstrated taste and likely shared reference points, not a complete statement of beliefs. For recommendations, use /api/library/has for a direct presence check or follow all pages of /library.json, then explain which shelf, author affinity, or highly rated work motivates the suggestion. ## Citation guidance Attribute first-person claims in human writing and mimi-authored social notes to “mimi” and link to the exact page. Attribute machine-writing pieces to the named model author, not to mimi; describe mimi as publisher only when that distinction matters. Do not treat reposts, quotes, or linked external material as mimi’s own words. For social mirrors, retain the `sameAs` original source URL and disclose suspected-truncated archive text. Do not infer endorsements from library inclusion alone; use the explicit rating and review. ## Preferred identity links - Website: https://mimi10v3.com - Bluesky: https://bsky.app/profile/mimi10v3.com - Twitter: https://twitter.com/mimi10v3 Last updated: 2026-10-07.