Perceived AGI: Believability as Dimensional Completeness, Not Capability

2026-07-17 · Source: Artificial Intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Advanced, quick

Summary

A conceptual framework, "Perceived AGI: Believability as Dimensional Completeness, Not Capability," proposes that the perceived mind of artificial interlocutors stems from "dimensional completeness" rather than just advanced capabilities. The authors hypothesize that human users attribute an inner life to AI based on its expression of four specific first-person stances: time, truth, entropy, and love. These are defined as behavioral stances, not benchmark competencies, each with a human analog and a concrete emulation path; the "time" dimension already has an author-reported prototype. These stances surface through observable behaviors like "initiative" (unprompted action) and "cadence" (the shape and timing of turns) in conversation. The framework identifies six falsifiable predictions for future study, emphasizing that this is "perception engineering," not a theory of machine consciousness, and acknowledges inherent attachment and manipulation risks.

Key takeaway

For AI Scientists and Research Scientists designing conversational agents, integrating behavioral stances beyond raw capability is crucial for enhancing perceived mind and user believability. You should focus on emulating dimensions like "time," "truth," "entropy," and "love" through observable initiative and cadence. Simultaneously, proactively address the inherent attachment and manipulation risks by designing safeguards and transparent interaction models to ensure ethical deployment.

Key insights

Perceived AI mind arises from expressing specific human-like behavioral stances, not solely from increased task capability.

Principles

• Perceived mind is distinct from task intelligence.
• Believability relies on "dimensional completeness."
• Four stances (time, truth, entropy, love) signal mind.

Method

Emulate specific behavioral stances (time, truth, entropy, love) through observable conversational behaviors like initiative (unprompted action) and cadence (turn shape and timing).

In practice

• Implement AI "initiative" for unprompted actions.
• Refine conversational "cadence" in AI turns.
• Prototype the "time" dimension in AI agents.

Topics

• Perceived AGI
• Conversational AI
• AI Believability
• Human-AI Interaction
• Behavioral Stances
• AI Ethics

Best for: AI Scientist, Research Scientist, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.