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Self-replicating manufacturing

Can an exactly solvable birth-death chain explain why short-lived printer fleets die out?

research/selfrep-extinction

Exact mean extinction time of a wearing-out printer fleet as a birth-death chain (stylised, assumed inputs): explains the die-outs in kind, within about 35% only after a post-hoc fix.

6 tests

What it found

Follow-up to selfrep-wearout. The fleet is a birth-death chain with an absorbing state at zero, and its mean extinction time is solved exactly and checked against a closed form and Monte Carlo. From one seed machine it grows from 358 h (mean life 100 h) to 3967 h (200 h) to 41,602 h (300 h), but the wear-out simulation dies out 1.8–2.5× sooner. Scaling births by the chance a build outlives its machine brings the two within about 35% for a lone seed (16–18% at 200–300 h), a fit made after seeing the gap; it is 1.7–1.9× too short for four seeds at 300 h. Stylised, with assumed inputs; the 500 h rows are unusable.

A figure from its own output

Figure produced by research/selfrep-extinction: extinction
selfrep-extinction/experiments/extinction.svg, written by the project's own experiment code.

Paper, code and results

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Proper scoring & elicitation28Effort & peer prediction9Verification games & slashing19Detection & tolerances14Markets as routers13Prediction-market design9Paying contributors8Decentralised training systems23Digital twins & sim-to-real164LLM chip design loops40Robot manufacturing loops53Ambient AI assistant46Self-replicating manufacturing34Simulation-first design64Engineered clothing45Task-specific AI accelerators40Algorithmic chip-design loops42Open-source purpose-built robots44The software-engineering loop43Adversarial human imitation41Open-source residential construction41Autonomous multi-angle capture34Sensing, imaging and 3D31Energy supply and dense energy storage39Robot societies among people31Agentic co-design of low-cost robots27Laundry-hanging robots25Machine learning on qualitative data23Robots on the building site27Civilizations & group psychology1History & human sciences1

Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.