Organoid Intelligence: A Systems-Dynamics Constitution for the Field (v5)

Organoid Intelligence (OI) is the use of lab-grown biological neural tissue as a substrate for learning, memory, and information processing, interfaced to digital electronics. This document presents a formal systems-dynamics meta-analysis of OI, merging four iterations of analysis (v1-v4) into a single unified, non-redundant master document (v5). 

The analysis contains:
- A formal delay-differential equation (DDE) model of the hype↔evidence subsystem
- The Overshoot Theorem: mathematical proof that boom-bust cycles are guaranteed by the replication delay structure (ατ_rep > π/2)
- The Credibility Kernel: super-linear cascading distrust where the second failed replication collapses credibility by ~90%
- Labor Saturation: workforce bottleneck with a ~10-year training delay
- The Valley of Death Theorem: winner-take-all capital competition with neuromorphic silicon, producing a phase-transition collapse within ~2-5 years

Core findings:
1. The "compute successor" branch is structurally doomed by secular competition with manufacturable silicon
2. The pharmaceutical and scientific instrument branch is insulated and robust (DROIDp, 2026)
3. The highest-leverage intervention is changing the goal from "compute" to "pharma probe"
4. OI is a valuable near-term pharmaceutical and scientific instrument, not a general-purpose computing platform

The document provides a complete falsification protocol with 10 decision-relevant indicators, a probability ensemble (57/24/7/7), and strategic prescriptions for funders, policymakers, and researchers.