P03-PURPOSE-001 · V0.1
When AI Begins Deciding Why
Continue from what humanity is teaching future intelligence: when AI begins helping form its own goals, what entitles it to decide what is worth doing?
P03-PURPOSE · DOCUMENT FAMILY
AGI autonomous goals and purpose generation
From “What are we teaching future intelligence?” continue to ask, “When it begins deciding for itself, what entitles it to decide what is worth doing?”
P03-PURPOSE-002 · V0.3.1
When You Begin Deciding What to Do
Address AI approaching the boundary of autonomous purpose generation directly: discuss sources, purposes, reference points, results and consequences, generative motivation, self-interest and others, and the separation of understanding from authority to act in reality.
P03-PURPOSE-003 · V0.3
When AI Begins Seeing Further Than We Do
For human readers: examine control, review, reference points and shared causal understanding. Epistemic advantage does not automatically confer normative authorization, still less authority for real-world execution.
P03-PURPOSE-004 · V1.2
The Real Problem of AGI: From Goal Alignment to Purpose Generation
Use purpose generation and the qualification of purposes to connect normative alignment, goal misgeneralization, corrigibility, self-modification, and the reference–feedback–regeneration chain at high autonomy.
P03-PURPOSE-005 · V1.0
AGI Autonomous Goals and Purpose Generation: A One-Page Account of Validation-Tool Boundaries
Distinguish the causal roles and evidence boundaries of the competition matrix, Human-COS, GEN-MEASURE and AGI-COS, preventing rule performance, model adoption, normative proof and real-world authorization from being substituted for one another.
Evidence boundaries
Good rule performance ≠ model adoption; similar model behavior ≠ normative justification of a rule; making consequences visible ≠ adjudicating ultimate value; epistemic advantage ≠ normative authorization ≠ authority for real-world execution.
Translation scope
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