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Self-replicating manufacturing

How many parts should a replicating printer print per plate to double its shop fastest?

research/selfrep-platepack

How many parts per print plate double a replicating printer shop fastest (stylised, assumed inputs): with no changeover one part per plate wins (43.2 h doubling), with 0.25 h per plate four parts (46.4 h), with 0.5 to 1 h eleven parts; pooled fleets stay 7.6 to 15.5% ahead of one copy per printer.

8 tests

What it found

Groups the Prusa Mendel's 44 printed parts k to a plate in the selfrep-partpool simulator, with an assumed per-plate changeover of 0 to 1 h. With no changeover one part per plate is best (43.2 h effective doubling for a pooled fleet); at 0.25 h the best plate holds 4 parts (46.4 h), at 0.5 h and 1 h it holds 11 (47.8 h and 49.6 h). Pooling keeps an edge over one copy per printer (7.6–15.5%), and large plates cost it the pooling gain: at one plate per copy both policies coincide. Stylised: every input, including the changeover, is assumed, the BOM has no real part masses and plates are full and identical.

A figure from its own output

Figure produced by research/selfrep-platepack: plate_size
selfrep-platepack/experiments/plate_size.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.