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Critical Component Mass for a Safe, Self-Improving Human-Level Learner

Critical Component Mass for a Safe, Self-Improving Human-Level Learner. Mark R. Waser. What Is A “Learner”?. Not a “discoverer” although that is a skill it will learn soon enough A “knowledge integrator” incorporates knowledge into it’s world model

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Critical Component Mass for a Safe, Self-Improving Human-Level Learner

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  1. Critical Component Mass for a Safe, Self-Improving Human-Level Learner Mark R. Waser

  2. What Is A “Learner”? • Not a “discoverer” • although that is a skill it will learn soon enough • A “knowledge integrator” • incorporates knowledge into it’s world model • “understands” and therefore can predict • refactors knowledge and data for usability (/speed) • Not a “memorizer” or an “algorithm executor” • A word problem solver • and, eventually, an analogy builder

  3. A World Model Builder/Extender • Model/Memory as Self • Many agents or one agent (per world model) • Integrity of Model/Memory/Self • All operations should be performed through self • Grounding/Qualia • Self-Reflection • Goals

  4. FOOM!?!! • Hardware “overhang” • Is hardware the limiting factor? • Why go foom/Do *you* want to go foom? • “Moral” goals • Don’t be too large • A million eyes (sousveillence) • Is an AI entitled to mental privacy?

  5. A Social Media Plan • Base “Blackboard” Operating System (ROS) • Consciousness • Attention as a safety mechanism • Pluggable Modules/Services/Interfaces • Reflection is key! • Declarative & Functional first • Proceduralfor optimization, analysis, & safety • Scripts to build from base to any level • Contests/Gamification to design & build

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