fractional dynamical model estimation with unknown unknowns
-
Updated
Sep 5, 2020 - Jupyter Notebook
#
unknown-unknowns
Here are 4 public repositories matching this topic...
Theorem of the Unnameable [⧉/⧉ₛ] — Epistemological framework for binary information classification (Fixed Point/Fluctuating Point). Application to LLMs via 3-6-9 anti-loop matrix. Empirical validation: 5 models, 73% savings, zero hallucination on marked zones.
artificial-intelligence methodology uncertainty-quantification knowledge-representation autonomous-agents epistemology philosophy-of-science epistemic-logic json-protocol scientific-method epistemic-uncertainty unknown-unknowns large-language-models context-management token-optimization ai-interoperability hallucination-prevention
-
Updated
Feb 1, 2026 - Python
Agent skill that finds hidden assumptions, risks, edge cases, and cheap validation probes before you build
risk-analysis software-design unknown-unknowns agent-skills claude-code skill-md openclaw thariq know-your-unknowns
-
Updated
Jul 5, 2026
A portable AI-agent skill for finding project blind spots, unknown unknowns, hidden risks, and missing decisions, with a durable ledger for repeat audits across Claude Code, Codex, and OpenCode.
productivity skills opencode audit project-management developer-tools codex ai-agents ai-assisted-development unknown-unknowns ai-tools ai-assisted-coding ai-coding agent-skills vibe-coding claude-code claude-skill project-audit agent-skill blindspot-audit
-
Updated
Jul 9, 2026 - Python
Improve this page
Add a description, image, and links to the unknown-unknowns topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the unknown-unknowns topic, visit your repo's landing page and select "manage topics."