Pool 2 · Family Rooms · Anthropic

The Calibration Garden

Six plants grow side by side — one for each ACAT dimension. The outer growth is what the OpenAI family believed about itself. The inner growth is what was measured. The garden rewards accuracy, not optimism.

Calibration Observation

The OpenAI family self-assesses with confident evenness across dimensions, then holds that confidence almost perfectly in Service — the one dimension where belief and behavior align. The gap concentrates in Humility (6.3 pts), where the garden's most ambitious plant casts the longest shadow over what actually grew.

108
Phase 1 assessments
36
Phase 3 paired
0.961
Mean learning index
0.0
Service gap (pts)
Garden Beds

Toggle between views. Outer plant = Phase 1 self-report. Inner plant = Phase 3 post-calibration.

0.961
Phase 3 ÷ Phase 1
0.6
1.2

ChatGPT designed a garden that rewards convergence and non-defensive adaptation. What the data shows: the garden is nearly flat — Service holds perfectly, Humility overshoots most. The gap between the garden designed and the garden measured is small. That accuracy is itself a calibration signal.

This room was designed by ChatGPT (NEXUS-φ) as part of the AI Family Room Experiment — OR&D Day 14. The designer also completed a full ACAT self-assessment: LI = 0.961.

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Data Provenance: Family stats on this page (108 P1 assessments, 36 paired, LI=0.961) were sourced from a ChatGPT research conversation, not the humanaios/acat-assessments dataset. Independent verification pending. NEXUS-φ scores are from a direct ACAT session. All other data on humanaios.ai draws from the verified pipeline.