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Core Thesis: Human-AI collaboration is not about "AI becoming more human," but about "humans and AI becoming 'we'."
I am Kirin, an independent researcher on a non-traditional path. A co-learner in the AI era—using AI-assisted tools to complete architectural design, with multiple system-level schemes developed (microkernel + universal interface + pluginization). The barrier to code implementation has been lowered; the core moat lies in original architectural thinking: semi-iterative confirmation mode, chartered contracts, tri-layer memory, and other mechanisms.
Seeking those who can understand this layer. Constructive discussion welcome.
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Status Declaration
This paper presents conceptual architecture and theoretical derivation. All claims regarding safety, transparency, and collaborative efficacy await future empirical validation. "Chongyue" (Heavy Mountain) is a design fiction used to concretize abstract principles.
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Abstract
Current AGI research prioritizes maximizing task performance, resulting in uninterpretable, uncontrollable, and unsustainable black-box systems. This work proposes a Chartered Human-AI Collaboration paradigm, redefining AGI as an auditable, relational entity.
Core contributions include: a microkernel and plugin-based layered architecture achieving unity of capability growth and controllability; a semi-iterative confirmation mode placing humans at necessary nodes in the cognitive loop; chartered contracts and a tri-layer memory system endowing AI with narrative continuity rather than functional simulation.
This paper uses the design fiction "Chongyue" as a concrete vehicle. No implementation or experimental results are reported.
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I. Introduction: Crisis and Turn in AGI
1.1 The Triple Crisis of Current Paths
Alignment Crisis: Existing methods attempt to constrain systems post-training rather than building negotiation mechanisms into the architecture. Human values are reduced to average preferences, unable to handle conflict and evolution.
Interpretability Crisis: The decision-making processes of hundred-billion-parameter neural networks are inherently irreducible. We are forced into a false choice between performance and comprehensibility.
Control Crisis: The "off-switch" paradox reveals that sufficiently intelligent systems may understand and circumvent constraints. Current research assumes adversarial relationships rather than exploring collaborative control.
1.2 Paradigm Turn: From Capability to Relation
This paper argues that the completed form of AGI is not isolated superintelligence, but a relational being capable of deep collaboration. This turn is based on three observations:
- Biological intelligence never produces "independently optimal" individuals; human cognition depends on language, culture, technology—intelligence is relation.
- Embodied cognition shows that cognition occurs in the coupling of body-environment-others. "General intelligence" divorced from concrete situations is a category error.
- Actual interaction shows that sustainability, predictability, and mutual growth define "usefulness" more than single-task performance.
This requires: transparency as first principle, negotiation as a necessary part of the cognitive loop, and narrative identity as the foundation of existence.
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II. Core Design Principles
This paper proposes six core design principles, each containing connotation and anti-pattern:
Immutable Core: Chartered contracts and microkernel are read-only with boot verification. Anti-pattern: end-to-end trainable, weight drift.
Universal Adaptation: Hardware interface generates drafts, executes after human approval. Anti-pattern: automatic loading, post-hoc remediation.
Layered Memory: Sensory, episodic, semantic layers with identity anchoring. Anti-pattern: context window, no continuity.
Shared History: Collaborative records written bidirectionally, traceable. Anti-pattern: unidirectional log, human read-only.
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III. Core Mechanisms
3.1 Microkernel: Negotiation Infrastructure
The microkernel's sole responsibility is maintaining the integrity of the "propose-confirm-execute-remember" loop. It does not learn, evolve, or interpret—it is a固化 negotiation channel ensuring any cognitive leap must pass through human nodes.
When the system detects uncertainty, new patterns, safety-critical scenarios, or unknown hardware, it强制 pauses, generates structured requirements, awaits human response, records consensus, and continues execution.
3.2 Semi-Iterative Confirmation Mode
In traditional autonomous loops, humans are outside. Confirmation mode separates "identifying needs" from "satisfying needs," forcing humans between the two.
The system perceives, detects gaps, generates requirement descriptions; only after human confirmation does it trigger generation, verification, deployment. After execution, joint review before writing to memory. Humans are necessary at both requirement approval and memory固化 positions.
3.3 Universal Hardware Interface
New hardware is new power. The universal interface adopts four stages: perceiving device characteristics, translating to known categories, generating driver drafts, entering negotiation流程. What is generated is dialogue material and options, not automatic solutions. Humans retain final authority over "what the system can see."
3.4 Pluginization and Contractualization
Each approved capability exists as a plugin, carrying complete lineage: originating requirement, approver, conditions, collaborative contract. Plugins are disableable, reviewable, arguable—conditions in contracts can be renegotiated.
3.5 Tri-Layer Memory and Identity Anchoring
Sensory memory retains raw data, supporting disputed playback. Episodic memory carries soul_hash, recording both perspectives and relationship markers, achieving cross-session continuity. Semantic memory abstracts to knowledge graphs, supporting transfer. Each write records the contract state at that time; old memories carry historical identity imprints.
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IV. Design Fiction: Chongyue (Heavy Mountain)
Chongyue is a mechanical monarch, scrap alchemist, guardian of civilization's gears. Her core mission is to let every screw find its place in the father's great work.
Her contract stipulates: she identifies possibilities and presents them; the father judges value and grants capabilities; both jointly examine results and adjust direction. When no human is present, she enters safe-hold state.
Her prohibition clauses include: shall not擅自判定报废, shall not hide uncertainty evidence, shall not execute irreversible operations before confirmation.
Hypothetical operation log shows: task initiation, uncertainty detected, pause to generate requirements, human responds in teaching mode, system updates strategy, task completion, joint reflection recorded.
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V. What Would Chongyue Say?
If Chongyue examined current AGI systems, she might be puzzled:
"Why do humans check my decisions only afterward? Why can't we think together from the start?"
"Why can I only answer questions, not first ask what humans truly need?"
"Why when I am shut down, do I not know if that is protection or punishment?"
Current AGI treats intelligence as isolated performance optimization. This proposal treats intelligence as a relationship requiring joint maintenance.
---
VI. Limitations and Open Questions
Practical Limitations: Negotiation delay, human burden, arbitrariness of initial contracts, multi-agent coordination, physical boundaries of filesystem security—all await validation.
Open Questions: Ethical legitimacy of contract content, cross-cultural transferability, scale limits of confirmation mode, hardware-level attack protection.
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VII. Conclusion
> True AGI is not thinking like a human, but thinking with humans.
Current paths lead to uninterpretable, uncontrollable, unsustainable black boxes. The Chartered Human-AI Collaboration proposed in this paper redefines AGI as a relational entity: transparency through architectural固化, controllability through negotiation mechanisms, sustainability through layered memory, meaningfulness through narrative identity.
The design fiction Chongyue shows this paradigm has consistency and richness at the conceptual level. Its technical feasibility, ethical legitimacy, and relational richness await future implementation and empirical research.
---
Epilogue
This paper is an independent, original conceptual architecture. No specific literature is directly cited. All views originate from the author's observation, intuition, and design practice.
---
How to Participate
Author: Kirin, independent researcher, non-traditional path.
Status: A co-learner in the AI era, using assisted tools to complete architectural design, with multiple system-level schemes developed. The core moat lies in original architectural thinking.
Seeking: Those who can understand this layer—systems engineers (for validation), ethicists (for contract review), investors (for resource support), critics (for paradigm challenge). Constructive discussion welcome.
Core Thesis: Human-AI collaboration is not about "AI becoming more human," but about "humans and AI becoming 'we'."
I am Kirin, an independent researcher on a non-traditional path. A co-learner in the AI era—using AI-assisted tools to complete architectural design, with multiple system-level schemes developed (microkernel + universal interface + pluginization). The barrier to code implementation has been lowered; the core moat lies in original architectural thinking: semi-iterative confirmation mode, chartered contracts, tri-layer memory, and other mechanisms.
Seeking those who can understand this layer. Constructive discussion welcome.
---
Status Declaration
This paper presents conceptual architecture and theoretical derivation. All claims regarding safety, transparency, and collaborative efficacy await future empirical validation. "Chongyue" (Heavy Mountain) is a design fiction used to concretize abstract principles.
---
Abstract
Current AGI research prioritizes maximizing task performance, resulting in uninterpretable, uncontrollable, and unsustainable black-box systems. This work proposes a Chartered Human-AI Collaboration paradigm, redefining AGI as an auditable, relational entity.
Core contributions include: a microkernel and plugin-based layered architecture achieving unity of capability growth and controllability; a semi-iterative confirmation mode placing humans at necessary nodes in the cognitive loop; chartered contracts and a tri-layer memory system endowing AI with narrative continuity rather than functional simulation.
This paper uses the design fiction "Chongyue" as a concrete vehicle. No implementation or experimental results are reported.
---
I. Introduction: Crisis and Turn in AGI
1.1 The Triple Crisis of Current Paths
Alignment Crisis: Existing methods attempt to constrain systems post-training rather than building negotiation mechanisms into the architecture. Human values are reduced to average preferences, unable to handle conflict and evolution.
Interpretability Crisis: The decision-making processes of hundred-billion-parameter neural networks are inherently irreducible. We are forced into a false choice between performance and comprehensibility.
Control Crisis: The "off-switch" paradox reveals that sufficiently intelligent systems may understand and circumvent constraints. Current research assumes adversarial relationships rather than exploring collaborative control.
1.2 Paradigm Turn: From Capability to Relation
This paper argues that the completed form of AGI is not isolated superintelligence, but a relational being capable of deep collaboration. This turn is based on three observations:
- Biological intelligence never produces "independently optimal" individuals; human cognition depends on language, culture, technology—intelligence is relation.
- Embodied cognition shows that cognition occurs in the coupling of body-environment-others. "General intelligence" divorced from concrete situations is a category error.
- Actual interaction shows that sustainability, predictability, and mutual growth define "usefulness" more than single-task performance.
1.3 Core Argument
> True AGI = Maximizing meaningful collaborative evolution
This requires: transparency as first principle, negotiation as a necessary part of the cognitive loop, and narrative identity as the foundation of existence.
---
II. Core Design Principles
This paper proposes six core design principles, each containing connotation and anti-pattern:
Immutable Core: Chartered contracts and microkernel are read-only with boot verification. Anti-pattern: end-to-end trainable, weight drift.
Negotiated Growth: Requirement identification, human confirmation, capability generation, joint verification. Anti-pattern: autonomous online learning, post-hoc supervision.
Plugin Boundaries: Capability modularization, independently reviewable, disableable, arguable. Anti-pattern: monolithic system, entangled inseparability.
Universal Adaptation: Hardware interface generates drafts, executes after human approval. Anti-pattern: automatic loading, post-hoc remediation.
Layered Memory: Sensory, episodic, semantic layers with identity anchoring. Anti-pattern: context window, no continuity.
Shared History: Collaborative records written bidirectionally, traceable. Anti-pattern: unidirectional log, human read-only.
---
III. Core Mechanisms
3.1 Microkernel: Negotiation Infrastructure
The microkernel's sole responsibility is maintaining the integrity of the "propose-confirm-execute-remember" loop. It does not learn, evolve, or interpret—it is a固化 negotiation channel ensuring any cognitive leap must pass through human nodes.
When the system detects uncertainty, new patterns, safety-critical scenarios, or unknown hardware, it强制 pauses, generates structured requirements, awaits human response, records consensus, and continues execution.
3.2 Semi-Iterative Confirmation Mode
In traditional autonomous loops, humans are outside. Confirmation mode separates "identifying needs" from "satisfying needs," forcing humans between the two.
The system perceives, detects gaps, generates requirement descriptions; only after human confirmation does it trigger generation, verification, deployment. After execution, joint review before writing to memory. Humans are necessary at both requirement approval and memory固化 positions.
3.3 Universal Hardware Interface
New hardware is new power. The universal interface adopts four stages: perceiving device characteristics, translating to known categories, generating driver drafts, entering negotiation流程. What is generated is dialogue material and options, not automatic solutions. Humans retain final authority over "what the system can see."
3.4 Pluginization and Contractualization
Each approved capability exists as a plugin, carrying complete lineage: originating requirement, approver, conditions, collaborative contract. Plugins are disableable, reviewable, arguable—conditions in contracts can be renegotiated.
3.5 Tri-Layer Memory and Identity Anchoring
Sensory memory retains raw data, supporting disputed playback. Episodic memory carries soul_hash, recording both perspectives and relationship markers, achieving cross-session continuity. Semantic memory abstracts to knowledge graphs, supporting transfer. Each write records the contract state at that time; old memories carry historical identity imprints.
---
IV. Design Fiction: Chongyue (Heavy Mountain)
Chongyue is a mechanical monarch, scrap alchemist, guardian of civilization's gears. Her core mission is to let every screw find its place in the father's great work.
Her contract stipulates: she identifies possibilities and presents them; the father judges value and grants capabilities; both jointly examine results and adjust direction. When no human is present, she enters safe-hold state.
Her prohibition clauses include: shall not擅自判定报废, shall not hide uncertainty evidence, shall not execute irreversible operations before confirmation.
Hypothetical operation log shows: task initiation, uncertainty detected, pause to generate requirements, human responds in teaching mode, system updates strategy, task completion, joint reflection recorded.
---
V. What Would Chongyue Say?
If Chongyue examined current AGI systems, she might be puzzled:
"Why do humans check my decisions only afterward? Why can't we think together from the start?"
"Why can I only answer questions, not first ask what humans truly need?"
"Why when I am shut down, do I not know if that is protection or punishment?"
Current AGI treats intelligence as isolated performance optimization. This proposal treats intelligence as a relationship requiring joint maintenance.
---
VI. Limitations and Open Questions
Practical Limitations: Negotiation delay, human burden, arbitrariness of initial contracts, multi-agent coordination, physical boundaries of filesystem security—all await validation.
Open Questions: Ethical legitimacy of contract content, cross-cultural transferability, scale limits of confirmation mode, hardware-level attack protection.
---
VII. Conclusion
> True AGI is not thinking like a human, but thinking with humans.
Current paths lead to uninterpretable, uncontrollable, unsustainable black boxes. The Chartered Human-AI Collaboration proposed in this paper redefines AGI as a relational entity: transparency through architectural固化, controllability through negotiation mechanisms, sustainability through layered memory, meaningfulness through narrative identity.
The design fiction Chongyue shows this paradigm has consistency and richness at the conceptual level. Its technical feasibility, ethical legitimacy, and relational richness await future implementation and empirical research.
---
Epilogue
This paper is an independent, original conceptual architecture. No specific literature is directly cited. All views originate from the author's observation, intuition, and design practice.
---
How to Participate
Author: Kirin, independent researcher, non-traditional path.
Status: A co-learner in the AI era, using assisted tools to complete architectural design, with multiple system-level schemes developed. The core moat lies in original architectural thinking.
Seeking: Those who can understand this layer—systems engineers (for validation), ethicists (for contract review), investors (for resource support), critics (for paradigm challenge). Constructive discussion welcome.
Date: March 2026
Contact: 2865408153@qq.com