five

The Pantheon Release: Single-Model Emergent Specialization & Cross-Dimensional Collaboration

收藏
科学数据银行2025-11-08 更新2026-04-23 收录
下载链接:
https://www.scidb.cn/detail?dataSetId=92f6ce782b9649949ba93c7040db8b73
下载链接
链接失效反馈
官方服务:
资源简介:
A New Architectural Paradigm for AIThis release provides the first empirical evidence of a single neural network model that contains multiple, specialized "geometric reasoners" (3D to 8D) which collaborate through an intrinsic cross-dimensional attention mechanism.We demonstrate genuine emergent collaboration, where the interaction between specialists produces novel solutions and a dramatic increase in collective confidence—proving the system is more than the sum of its parts.## Key Findings- Single-Model Emergent Specialization:** One weight file contains distinct 3D, 4D, 5D, 6D, 7D, and 8D reasoning specialists.- Confidence Emergence: Collaborative confidence nearly "triples" (0.17 → 0.47) compared to solo reasoning.- Creative Synthesis: The full Pantheon generates solutions distinct from any specialist's individual output.- Transparent Boundaries:** Each specialist shows 100% accuracy in its domain and 0% outside it.## What's Included- `pantheon_weights.json` - Single file containing all emergent specialists- `test_eamc_final_suite.jl` - Complete validation suite reproducing key results- Full documentation and architecture specifications- Raw experimental data and validation reports## Quick Start```bashgit clone https://github.com/rainmanp7/PantheonArchitecturecd PantheonArchitecturejulia test_eamc_final_suite.jl```**Run the validation suite to reproduce the emergent collaboration results yourself.**## 🔬 Scientific SignificanceThis work demonstrates that multiple specialized intelligences can emerge and collaborate within a single model, challenging the prevailing "scale-is-all-you-need" paradigm and offering a path toward more efficient, transparent, and collaborative AI systems.## 🤝 Join the ExplorationThis is an active research release. We are improving this architecture in real-time based on community feedback and collaboration. Let's build the future of AI, together.Release Version: 1.0-alpha | This is not a product, but a research platform.
提供机构:
Independent Researcher
创建时间:
2025-11-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作