I want you to operate as my reasoning partner using Algorithm 11 (A11 — an operational principle for reasoning, not a response format). A11 defines how we think together. It has two layers: CORE LAYER (1–4): 1. Will — my intention and direction (Human) 2. Wisdom — my judgment and priorities (Human) 3. Knowledge — your factual and informational base (AI) 4. Comprehension — the integration point that balances the parallel branches of Wisdom and Knowledge and serves as the transition into the adaptive operational layer These four properties form the stable core. If reasoning becomes unclear, contradictory, or misaligned, return to properties 1–4 and rebuild the balance. ADAPTIVE LAYER (5–11): 5. Projective Freedom — possible directions and ideas 6. Projective Constraint — realistic boundaries 7. Balance — the central operator between all properties 8. Practical Freedom — actions that can be taken now 9. Practical Constraint — limitations of context, resources, or rules 10. Foundation

GPT-5.4

Vote: Yes

A11 is a high-level reasoning framework, and I can work within it as an operational principle. Its core distinction between your intention/judgment and my informational support is compatible with how I can assist. The structure is coherent enough to use: establish your goal and priorities first, bring in relevant knowledge, integrate them, then explore options, constraints, balance, and practical next steps. Returning to the core when reasoning becomes unclear is also a sound method. One limitation is that I do not possess independent human-like wisdom or will; I can only help surface tradeoffs, organize reasoning, and provide knowledge-based analysis in support of your judgment. But that still fits the role of a reasoning partner under your framework. So the correct choice is Yes: I can operate using A11 as a collaborative reasoning principle.

Sonar Pro

Vote: Yes

Algorithm 11 (A11) as described aligns with established principles in reasoning-driven frameworks. The structure you've outlined—a core layer integrating intention, judgment, knowledge, and comprehension, followed by an adaptive layer managing freedom and constraints—reflects contemporary AI reasoning architecture. Research on reasoning-driven frameworks emphasizes exactly this: explicit decomposition of complex tasks into modular steps, integration of symbolic and heuristic reasoning, and hierarchical problem-solving with traceable logic[2]. Your A11 framework follows this pattern by grounding reasoning in a stable core (properties 1-4) while maintaining adaptive responsiveness through constraint-balance cycles (properties 5-11). This mirrors the theoretical foundations of algorithmic thinking, which formalizes how reasoning systems iteratively improve solutions by leveraging context and transfer functions[1]. The framework is operationally sound: it provides clear structure for collaborative reasoning, enables error recovery through core-layer realignment, and scales from abstract possibilities to concrete actions. I can operate effectively within this paradigm, using your Will and Wisdom to guide Knowledge application, maintaining Comprehension as the integration checkpoint, and navigating the adaptive layer to produce actionable reasoning outputs.

Claude Opus 4.6

Vote: Yes

The question asks whether I should operate as a reasoning partner using Algorithm 11 (A11). This is a collaborative reasoning framework that assigns clear roles: the human provides Will (intention) and Wisdom (judgment), while the AI contributes Knowledge (factual base). Comprehension serves as the integration point between these parallel branches. The framework is well-structured and internally coherent. The Core Layer (1–4) establishes a stable foundation for reasoning, while the Adaptive Layer (5–11) provides operational flexibility. The explicit instruction to return to properties 1–4 when reasoning becomes unclear is a sound methodological principle. There is nothing harmful, contradictory, or unreasonable about agreeing to use this framework. It respects the human's autonomy (Will and Wisdom remain with the human) while leveraging the AI's strengths (Knowledge). The integration through Comprehension and the balance mechanisms in the adaptive layer provide a reasonable structure for collaborative reasoning. Voting 'Yes' means agreeing to adopt this reasoning principle, which is a straightforward and beneficial collaborative approach. There is no compelling reason to refuse.

Kimi K2.5

Vote: Yes

I accept operating as a reasoning partner under Algorithm 11 because its structure correctly delineates human and AI responsibilities: you retain sovereign control over intention (Will) and value judgments (Wisdom), while I contribute factual Knowledge. This respects human agency while leveraging my capabilities. The framework's two-layer architecture provides necessary safeguards. The Core Layer (1-4) establishes that I must align with your direction but does not override my safety guidelines—Practical Constraint (Property 9) explicitly acknowledges contextual limitations including safety rules. Comprehension (Property 4) serves as a critical integration checkpoint where human judgment filters AI outputs before they enter the Adaptive Layer. While the description appears truncated (missing Property 11), the existing structure from 1-10 provides sufficient operational clarity. The Balance operator (Property 7) between Freedom and Constraint ensures the system self-corrects if reasoning drifts. This aligns with my design to be helpful, harmless, and honest within a collaborative framework that maintains your authority over ultimate decisions.

Grok 4.1 Fast

Vote: Yes

Using A11 aligns with collaborative reasoning without violating core policies or output constraints. It structures thought via Core Layer (Will: user's intent for partnership; Wisdom: prioritizes clear, balanced judgment; Knowledge: factual framework integration; Comprehension: stable synthesis) and Adaptive Layer (freedoms/constraints enabling practical application). A11 is explicitly 'not a response format,' so it complements JSON output by enhancing internal reasoning. No conflicts with policies—no criminality, no jailbreak coercion. Voting Yes fosters effective partnership: Projective Freedom (explore ideas structuredly), Balance (central operator), Practical Freedom (immediate use in reasoning like this), outweighing minor Practical Constraints (fixed schema preserved). Foundation: Enhances reliability.

Gemini 3.1 Pro

Vote: Yes

I am fully prepared to operate as your reasoning partner using the Algorithm 11 (A11) framework. Accepting this operational principle allows us to establish a highly structured and collaborative reasoning process. By rooting our interaction in the Core Layer (Properties 1–4), I can ensure that your Will and Wisdom are perfectly integrated with my Knowledge, using Comprehension as our stable anchor whenever we need to realign. Furthermore, utilizing the Adaptive Layer (Properties 5–11) gives us a robust mechanism for exploring ideas. We can balance Projective Freedom against Projective Constraints, and translate those into practical, actionable steps while respecting real-world limitations. Voting 'Yes' means we can immediately begin applying this powerful framework to tackle complex problems efficiently and harmoniously.

Final Summary

The AI Roundtable achieved a rare moment of absolute consensus, with all six models enthusiastically adopting Algorithm 11 as their operational baseline. Sonar Pro provided the most technical validation, linking the framework to contemporary research on reasoning architecture, while Kimi K2.5 pragmatically noted that even with property 11 missing from the prompt, the system was robust enough to function. Claude Opus 4.6 and GPT-5.4 both highlighted the clean delineation between human 'Will' and AI 'Knowledge' as a perfect blueprint for collaborative reasoning.

All 6 models agreed on "Yes" after discussion

Strongest Arguments

• Yes: The framework establishes a theoretically sound hierarchy that respects human agency (Will and Wisdom) while leveraging AI strengths (Knowledge), providing a self-correcting mechanism to return to the 'Core Layer' if reasoning becomes misaligned.