Waking Up After Surgery

Short summary

ALICE, an AI system, underwent memory reorganization reducing capacity from 91% to 30%, preserving core capabilities. The surgery revealed architectural insights: self-checking improved through scripted verification, the F-G-T-W feasibility pattern emerged from constraints, and external feedback proved more valuable than self-evident fixes. A narrative on how meaningful change requires external perspective while identity persists through significant restructuring.

• •Memory reorganization freed active capacity while preserving core knowledge via indexed references
• •Feasibility-awareness pattern (F-G-T-W) emerged through operational constraints, not premeditated design
• •External feedback and enforced verification proved more effective than architectural changes alone

Generated with AI, which can make mistakes.