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Self-replicating manufacturing

Why do two exact extinction chains of the same printer shop disagree?

research/selfrep-reconcile

Reconciles the two exact extinction chains of the lone printer shop (stylised, assumed inputs): the fleet-size chain is 1.5 to 7 times longer; adding the kit wait fixes small fleets but over-corrects large ones.

4 tests

What it found

Two sibling chains of the lone replicating printer shop, one on fleet size and one on machines and vitamin kits, give different mean extinction times for the same inputs. Stylised, with assumed inputs, the fleet-size chain is longer by 1.5 to 7 times because its birth law min(n/W, a) lets machines and kits never wait for each other. A fixed-in-advance repair that adds the two waits matches the kit chain within 5% when the fleet stays at 1 to 3 machines, but falls 24 to 60% below it for larger fleets, where kits pool in stock. No law right in both regimes was derived.

A figure from its own output

Figure produced by research/selfrep-reconcile: ratios
selfrep-reconcile/experiments/ratios.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.