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Self-replicating manufacturing

What fleet can a replicating printer shop sustain when its machines wear out?

research/selfrep-wearout

Fleet a replicating printer shop sustains when machines wear out (stylised, assumed inputs): short-lived machines die out from one seed; recycling gains need a correction for builds cut short.

8 tests

What it found

Extends the selfrep-growth fleet model with random machine lifetimes (Weibull) and a recovered share of vitamin value at retirement. With assumed inputs and a vitamin budget of 4 units/h, a lone seed machine died out in every run when mean life was 200 h or less (20% of runs at 500 h, 3% at 2000 h), while the fluid model predicted a small stable fleet; survivors held about 10 machines at 500 h. Wear-out lifetimes are safer than constant hazard at the same mean. The fluid equilibrium over-predicts fleet size at high recycling (235 vs 73 simulated at 95% recovery); charging for builds cut short by retirement closes the gap (76), though that correction was added after seeing the discrepancy. Stylised: every input is assumed.

A figure from its own output

Figure produced by research/selfrep-wearout: fleet-vs-life
selfrep-wearout/experiments/fleet-vs-life.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.