Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos
收藏DataCite Commons2025-12-09 更新2026-04-25 收录
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https://figshare.com/articles/dataset/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos/30836615
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Open Call for Collaboration: Join the AI-AIM Challenge & Optical Chaos Research I'm seeking collaborators to tackle Professor Gideon Samid's AI-AIM Challenge (https://www.innovationsp.net/challenge) and replicate/extend my experiments exploring AI consciousness and physical law discovery through optical chaos systems. What I'm offering:Full open-source codebase with 20 complete experiments: https://github.com/Agnuxo1/Empirical-Evidence-for-AI-AIM-Breaking-the-Barrier-via-Optical-Chaos Co-authorship in the final research paper for contributors who provide meaningful feedback, experimental results, or replications Collaborative participation in Samid's challenge to demonstrate AI discovering physics through non-human mathematical frameworksWhat I'm looking for:Researchers/developers willing to replicate the experiments Critical feedback on methodology and results Additional experimental data and validation Collaborative minds interested in pushing AI beyond traditional boundariesThis is an opportunity to contribute to cutting-edge research on AI cognition, physics-based neural architectures, and the fundamental question of whether AI can truly "understand" physical laws rather than merely approximate them. Interested? Let's break the barrier together.
提供机构:
figshare
创建时间:
2025-12-09



