Is the outside-room reversal of the proportional infrared gate a training-range artefact?

What it found

A stylised, preliminary follow-up to garment-twonodepen. Both gates are retuned on a wider set of rooms (20–28 C instead of 22–26 C) and scored on rooms held out of both. At the highest penalty, proportional wins 7 of 8 cases at 21 and 27 C when tuned wide, against 4 of 8 when tuned narrow, so the reversal is partly an artefact of the training range. At 18 and 30 C the gates differ by at most 0.007 C, which this model cannot resolve. Two penalties only; simulated comfort, not a claim about any real garment.

A figure from its own output

Paper, code and results

• README and method
• Experiments and results
• Code
• Tests

More in Engineered clothing

• Does an infrared-gating band tuned for one person and clothing level still work for other clothing and body sizes?Tunes both infrared gates on one person and clothing level and scores them on other clothing and body sizes; clothing matters, body size barely does
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• What does a degree of comfort cost in fabric?Joins garment-thermal comfort shifts to garment-teardown costs: only one fabric treatment helps in each scenario, levers combine sub-additively, and at assumed premiums a degree costs $0.5 to $19 on a replica trench but $3 to $114 on a designer one. Stylised; premiums assumed.
• Does a fabric lever still pay once you weight it by where the garment is worn?Weights garment-comfortcost's fabric levers by wearing time and adds a gated infrared lever: a fixed infrared-transparent shell pays only with a warm-room majority (above 75.5% of time against the cool room), white never harms, and the gate is chosen only when it costs about the fixed shell's premium or less. Stylised; premiums and wearing shares assumed.
• How many home-sewn coats before the labour cost per coat settles?How many home-sewn replica coats until labour cost settles? On a Wright learning curve (assumed first coat 4× an experienced operator, rate 0.85) it takes 20 coats to get within 2× of factory time; the first coat stays under $50 only if your time is valued at ≤$1.45/h. Learning parameters assumed. Stylised.
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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.