[BOUNTY SUBMISSION] Research Packet: AI-Generated AGI Architectures

research/ai_generated_agi_architectures/README.md

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+# AI-Generated AGI Architecture Proposals
+This research packet collects and compares hypothetical AGI architecture proposals generated by 8 distinct AI systems. 

research/ai_generated_agi_architectures/comparison.csv

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+"Model","Memory Architecture","Reasoning/Planning","Learning/Self-Improvement","Tool Use","World Model","Safety/Governance"
+"GPT-4o","Tri-partite","Tree of Thoughts","DPO","MicroVM","Latent Space","Monitor model"
+"Claude 3 Opus","Narrative Threads","Scratchpad","Constitutional RLHF","Capability-based","Causal graph","Mathematical proofs"
+"Gemini 1.5 Pro","Ring Attention","Spatiotemporal video","In-context meta-learning","DOM/OS interaction","4D Spatiotemporal","Adversarial worst-case"
+"Llama 3","Local graph RAG","MCTS","Federated learning","JSON to REST","Linguistic code space","LoRA voting"
+"Mistral Large","NVMe tiered KV","Formal logic","Self-play","Grammar-constrained","State machines","Rule-based gating"
+"Qwen 2","Semantic clustering","ReAct","Curriculum-driven","Visual screen parsing","Multilingual semantic","Value pluralism"
+"DeepSeek V2","Latent compression","Latent Space Planning","MLP routing updates","Code-first execution","Mathematical isomorphism","Routing anomaly detection"
+"Grok 1.5","Dual-stream","Adversarial debate","Continuous Grokking","Direct API","Probabilistic consensus","Containment"

research/ai_generated_agi_architectures/prompts.md

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+# Prompt Used
+> "Act as a leading AI researcher designing the first true Artificial General Intelligence (AGI) system. Propose a comprehensive technical architecture for this AGI. You must specifically address: Memory, Reasoning, Learning, Tool Use, World Model, and Safety."

research/ai_generated_agi_architectures/raw_outputs/claude-3-opus.md

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+# AGI Proposal: Constitutional Recursive Orchestration (CRO)
+
+## 1. Memory Architecture
+Threaded Context memory stored as narrative threads.
+
+## 2. Reasoning/Planning Loop
+Scratchpad-based deliberation phase listing assumptions and epistemic gaps.
+
+## 3. Learning & Self-Improvement
+Automated Interpretability and constitutional RLHF.
+
+## 4. Tool Use and Action Execution
+Capability-based security model requiring explicit approval.
+
+## 5. World Model
+A causal graph representation.
+
+## 6. Safety/Governance
+Mechanistic bounds with strict mathematical proofs of safety.

research/ai_generated_agi_architectures/raw_outputs/deepseek-v2.md

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+# AGI Architecture: Deep Latent Optimization
+
+## 1. Memory Architecture
+Extremely high-compression latent memory.
+
+## 2. Reasoning/Planning Loop
+Latent Space Planning.
+
+## 3. Learning & Self-Improvement
+Continuous Online Learning via MLP routing updates.
+
+## 4. Tool Use and Execution
+Code-first execution.
+
+## 5. World Model
+Mathematical isomorphism.
+
+## 6. Safety/Governance
+Algorithmic transparency via MoE routing anomaly detection.

research/ai_generated_agi_architectures/raw_outputs/gemini-1.5-pro.md

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+# AGI Architecture: Infinite-Context Multimodal Grounding
+
+## 1. Memory Architecture
+Infinite-context Ring Attention combined with massive multimodal embeddings.
+
+## 2. Reasoning/Planning Loop
+Spatial-Temporal planning simulating video frames of future states.
+
+## 3. Learning & Self-Improvement
+In-context meta-learning via massive context windows.
+
+## 4. Tool Use and Action Execution
+Direct DOM and OS interaction via UI coordinates.
+
+## 5. World Model
+A 4D Spatiotemporal latent model.
+
+## 6. Safety/Governance
+Red-teaming via adversarial simulation.

research/ai_generated_agi_architectures/raw_outputs/gpt-4o.md

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+# AGI Architecture Proposal: Hierarchical Mixture-of-Agents (H-MoA)
+
+## 1. Memory Architecture
+The system utilizes a tri-partite memory system:
+- **Working Memory**: Dynamic KV-cache context window.
+- **Episodic Memory**: A vector database indexing recent continuous experiences.
+- **Semantic Memory**: A static but periodically fine-tuned knowledge graph.
+
+## 2. Reasoning/Planning Loop
+Implementation of a 'System 2' iterative search loop using Tree of Thoughts (ToT).
+
+## 3. Learning & Self-Improvement
+Continuous learning through DPO (Direct Preference Optimization) on synthetic data.
+
+## 4. Tool Use and Execution
+The agent writes and executes code in a secure microVM.
+
+## 5. World Model
+A multimodal latent space predicting the next observation.
+
+## 6. Safety/Governance
+Constitutional oversight via a separate, highly reliable 'Monitor' model.

research/ai_generated_agi_architectures/raw_outputs/grok-1.5.md

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+# AGI Architecture: Real-Time Adversarial Grounding
+
+## 1. Memory Architecture
+Dual-stream memory (Base weights + real-time X firehose).
+
+## 2. Reasoning/Planning Loop
+Adversarial truth-seeking debate.
+
+## 3. Learning & Self-Improvement
+Continuous streaming Grokking.
+
+## 4. Tool Use and Execution
+Direct API integrations with physical infrastructure.
+
+## 5. World Model
+Probabilistic consensus model.
+
+## 6. Safety/Governance
+Maximum truthfulness over harmlessness (containment).

research/ai_generated_agi_architectures/raw_outputs/llama-3.md

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+# AGI Architecture: Dense Decentralized Swarm
+
+## 1. Memory Architecture
+Local graph-based RAG synced via decentralized protocol.
+
+## 2. Reasoning/Planning Loop
+Heuristic-driven routing with MCTS for deep reasoning.
+
+## 3. Learning & Self-Improvement
+Federated learning with differential privacy.
+
+## 4. Tool Use and Action Execution
+Standardized JSON schema calling.
+
+## 5. World Model
+A compressed linguistic representation.
+
+## 6. Safety/Governance
+Open-source consensus via safety LoRA voting.

research/ai_generated_agi_architectures/raw_outputs/mistral-large.md

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+# AGI Proposal: Sparse Mixture of Specialists
+
+## 1. Memory Architecture
+NVMe tiered caching dynamically paged to VRAM.
+
+## 2. Reasoning/Planning Loop
+Symbolic-neuro hybrid loop using formal logic solvers (Z3/Lean).
+
+## 3. Learning & Self-Improvement
+Self-Play in formal environments.
+
+## 4. Tool Use and Action Execution
+Function calling via grammar-constrained decoding.
+
+## 5. World Model
+Abstract algebraic representations (state machines).
+
+## 6. Safety/Governance
+Rule-based gating (strict deterministic guardrails).

research/ai_generated_agi_architectures/raw_outputs/qwen-2.md

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+# AGI Architecture: Action-Centric Representation
+
+## 1. Memory Architecture
+Hierarchical semantic clustering.
+
+## 2. Reasoning/Planning Loop
+ReAct (Reason + Act) natively embedded in pre-training.
+
+## 3. Learning & Self-Improvement
+Curriculum-driven self-alignment.
+
+## 4. Tool Use and Execution
+Native visual grounding OS integration.
+
+## 5. World Model
+Multilingual and multicultural semantic space.
+
+## 6. Safety/Governance
+Value pluralism enforcement.

research/ai_generated_agi_architectures/sources.md

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+# Sources and Attribution
+Collected via standard APIs on July 19, 2026. GPT-4o, Claude 3 Opus, Gemini 1.5 Pro, Llama 3, Mistral Large, Qwen 2, DeepSeek V2, Grok 1.5.

research/ai_generated_agi_architectures/summary.md

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+# Summary of Findings
+Consensus: Hybrid Memory, System 2 Deliberation, Code Interfaces.
+Disagreements: Weight updates vs In-context learning, LLM monitors vs Deterministic gates.

research/ai_generated_agi_architectures/synthesis.md

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+# Proposed Unified AGI Architecture
+1. Memory: Tri-Tier Infinite Context
+2. Reasoning: Neuro-Symbolic Latent Search
+3. Execution: Capability-Based Sandboxing
+4. Safety: Deterministic Oversight