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Adversarial human imitation

Does a wider gain grid, or a controller that uses the twin's gravity, change which wrong digital twins are costly?

research/mimic-twingrid

Does a wider gain grid, or a controller that uses the twin's gravity, change which wrong pendulum twins are costly? Gravity errors stay the costly ones; giving the controller the twin's g/L made g/L −20% regret 13 times larger (0.013 to 0.177). Preliminary, simulated only.

8 tests

What it found

Follow-up to mimic-twinswing on the same stylised swing-up pendulum, removing two confounds: the best pump gain sat at the edge of the grid, and the controller's gravity constant was fixed. With ke up to 32 (126 controllers, 14 twins, 8 seeds) gravity errors remain the costly twins and sensor-noise errors stay under 0.0010. Letting the controller use the twin's own g/L made gravity errors worse: g/L −20% regret rises from 0.013 to 0.177 and g/L +20% falls from 0.036 to 0.017. Spearman AUROC vs regret is ρ = 0.63 (p = 0.021) but is driven by four gravity twins, and is not comparable with the earlier twin set. Preliminary: one toy system, simulated only.

A figure from its own output

Figure produced by research/mimic-twingrid: regret_fixed_vs_aware
mimic-twingrid/experiments/regret_fixed_vs_aware.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.