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AGI Definition & Capability Goalpost Auditor

Empirical diagnostic evaluating AI claims vs formal cognitive architectures

Archetype Presets:

Cognitive Radar & Definition Goalpost

Blue = System | Amber = Threshold
Goalpost Definition Regime: Strict General Cognitive Architecture
Strict Cognitive (L5) Economic Parity Narrow Task Doublespeak
Strict General Cognitive Architecture (Legg-Hutter / DeepMind L5): Requires continuous production weight adaptation, self-generated intrinsic agency, complete cross-domain transfer, and epistemic self-verification.

Foundational Capability Axes

0 (None) → 100 (Human/Superhuman General)
0

Weights continuously adapt from live runtime experience without requiring offline batch pre-training or frozen checkpoints.

12

Formulates, prioritizes, and pursues novel intrinsic objectives without waiting for an external human prompt.

45

Generalizes abstract models from one domain (e.g. physics) to solve unencountered problems in another (e.g. negotiation).

38

Zero stochastic hallucination drift on verified logical facts across repeated queries.

24

Executes complex multi-step workflows over weeks/months with measurable economic yield and autonomous error-recovery.

15

Accurate internal discernment of what it knows, calibrated confidence intervals, and autonomous refusal to hallucinate.

Empirical Discrepancy & Semantic Drift Telemetry

Level 1 Narrow Task Emulation
Overall General Score
22.3
Weighted across 6 formal cognitive axes
Narrow Competence Score
78.5
Task benchmark completion capability
Semantic Dilution Index
71.6%
Goalpost shift vs formal AGI criteria
Current Threshold Status
Sub-Threshold Gap
Failed on 6/6 formal requirements
Diagnostic Audit Verdict

Claiming AGI based on narrow task execution reflects a 71.6% semantic dilution compared to formal continual-learning cognitive criteria.

Dimensional Architectural Audit

Axis Observed Required Architectural State & Discrepancy Analysis Status

AGI Claim Audit Report

Deterministic technical dossier summarizing architectural gaps, semantic dilution, and threshold compliance.


    
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