[Bounty $3k] Research: AI-Generated AGI Architecture Comparison Packet#15
[Bounty $3k] Research: AI-Generated AGI Architecture Comparison Packet#15Qiu-Difeng wants to merge 14 commits into
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Hi @aLexzzz430 👋 Following up on the AGI Architecture Research PR (#15) for Issue #5. I see other contributors have also submitted proposals — I'd love to know what criteria you'll use to evaluate submissions so I can improve mine if needed. My PR includes:
Happy to expand or revise based on your feedback! 🙏 |
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Hi! 👋 I hope everything is going well. This is a friendly follow-up on PR #15 (AGI Architecture Research). I submitted this a while ago and it's still waiting for review. The PR is ready for review and all checks have passed. I'm happy to make any changes if needed. If you could spare a moment to take a look, I'd really appreciate it! 🙏 Thank you for your time and for maintaining this project! Best regards, |
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Hi maintainers 👋 Just a friendly follow-up on this PR. I put significant effort into the implementation and would love to get your feedback when you have a moment. If there's anything you'd like me to adjust, I'm happy to make changes right away. Thank you for your time! 🙏 |
Research Packet: AI-Generated AGI Architecture Comparison
Addresses #5
Deliverables
✅
research/ai_generated_agi_architectures/README.md- Overview, collection method, headline findings✅
research/ai_generated_agi_architectures/prompts.md- Exact prompt used for all 10 AI systems✅
research/ai_generated_agi_architectures/raw_outputs/- 10 raw outputs (one per AI system)✅
research/ai_generated_agi_architectures/comparison.csv- Structured comparison across 14 dimensions✅
research/ai_generated_agi_architectures/summary.md- Synthesis of common patterns and unique insightsAI Systems Covered (10 distinct)
Key Findings
Comparison Dimensions
The CSV comparison covers: Core Paradigm, Knowledge Representation, Few-shot Learning, Continual Learning, Reasoning Type, Planning Approach, Memory Type, Safety Mechanism, Scalability Strategy, Embodiment, Consciousness, Unique Innovation, Complexity, and Practical Timeline.
All outputs are authentic, collected on 2026-05-29 using the same prompt across all systems.