AI, LLMs, autonomy & knowledge

Core question

How can intelligence remain useful, contestable, and recoverable for centuries?

Track lessons

1. Foundation · 37 minutes · substantive-editorial-draft

   What AI changes—and what it does not

   Separate demonstrated autonomy and useful language interfaces from speculation, then locate where AI changes coordination costs—and where evidence, hardware, institutions, and physics still dominate.

   Substantive, cited editorial draft; independent domain review remains required.

2. Foundation · 36 minutes · substantive-editorial-draft

   The autonomy authority stack

   Place physical protection, deterministic control, bounded autonomy, evidence-linked AI advice, and experiments in distinct authority layers with tested failure containment.

   Substantive, cited editorial draft; independent domain review remains required.

3. Foundation · 37 minutes · substantive-editorial-draft

   Digital twins and model divergence

   Use digital twins for bounded diagnosis and scenario testing while exposing assumptions, uncertainty, provenance, calibration loss, cyber risk, and divergence from the physical system.

   Substantive, cited editorial draft; independent domain review remains required.

4. Foundation · 38 minutes · substantive-editorial-draft

   The Knowledge Ark

   Preserve intelligible evidence, software, toolchains, formats, media, provenance, tacit skill, dissent, and institutional memory through active migration and repeated recovery.

   Substantive, cited editorial draft; independent domain review remains required.

5. Foundation · 38 minutes · substantive-editorial-draft

   An AI constitution

   Constitutionalize AI permissions, prohibited roles, evidence duties, privacy, appeal, update gates, emergency limits, model diversity, audit, and accountable human authority.

   Substantive, cited editorial draft; independent domain review remains required.