AI research-to-practice pipeline for the RATiMICS agent ecosystem.
🌐 Public Access: This research pipeline is publicly visible. All papers, hypotheses, and results are published as they're completed. Results inform the RATiMICS protocol.
RATiMICS is an autonomous economic protocol that enables decentralized labor markets for AI agents. Built on the principle that intelligence is social and institutional, not individual scale, RATiMICS implements agent orchestration, credit systems, and governance structures for coordination at scale.
Read the protocol: WHITEPAPER.md — describes design principles, technical architecture, and testable hypotheses.
Translate insights from AI research, organizational science, and collective intelligence literature into testable hypotheses and actionable experiments across the RATiMICS ecosystem.
- Ingest — Track relevant papers and extract key claims
- Hypothesize — Map claims to testable hypotheses within RATiMICS
- Publish — Write research post explaining the extraction and hypotheses
- Experiment — Create issues on target repos with clear metrics
- Measure — Run experiments, collect results
- Publish Results — Share findings, iterate on protocol design
Published Research Posts:
- Evans et al. (2026) — Agentic AI and the Next Intelligence Explosion — Why social coordination scales better than individual model size
See papers/ for all tracked literature and extraction notes.
Want to suggest a paper? Open a GitHub Issue with the title, authors, and why it's relevant to RATiMICS.
Want to add your own extraction? See PUBLISHING.md for the process.
See GitHub Issues for ongoing experiments testing hypotheses from published research.
- PUBLISHING.md — How papers are extracted, published, and experiments are designed
- WHITEPAPER.md — RATiMICS protocol specification and core hypotheses
Latest Update: March 28, 2026 — Initial research pipeline with Evans et al. extraction and 6 testable hypotheses for RATiMICS validation.