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K. Takahashi Academic and Scientific Research Hub

This repository hosts a personal academic and scientific research hub website. It publishes and curates original research by K. Takahashi in AI safety/alignment, no-meta governance, and auditable autonomous intelligence.

Keywords: academic website, scientific research hub, AI safety, AI alignment, no-meta governance, auditable autonomous intelligence, machine-readable metadata.

Canonical URLs

Discoverability and Machine Readability

  • Schema.org JSON-LD is embedded on key pages (ProfilePage, Person, CollectionPage, ScholarlyArticle, TechArticle, CreativeWork).
  • no-meta-observable-index.html provides a visible YAML canonical field guide for the no-meta / observable-only research series.
  • Semantic HTML5 tags provide clear document structure for parsers and crawlers.
  • Crawl entry points include internal links, RSS (feed.xml), robots.txt, and sitemap.xml.
  • Citation metadata is provided in CITATION.cff for GitHub and citation tooling.

Research Scope

  • Autonomous and auditable AI systems
  • AI safety and alignment under no-meta governance
  • Formal theory of intelligence

Main Pages

  • index.html: profile page and research program overview
  • no-meta-observable-index.html: canonical YAML field guide for the no-meta / observable-only series
  • works.html: reverse-chronological publication list with DOI links

Citation

  • Use GitHub's Cite this repository feature.
  • Or use metadata in CITATION.cff directly.
  • The citation metadata includes both the home page and the works page URL.

License

This repository is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). See LICENCE.

Deployment

This is a static website and can be hosted on GitHub Pages or any static hosting platform.

About

Personal site for independent research on observable-only, no-meta, and future autonomous AI.

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