The author has completed a four-part document, including a "Manifest and Epilogue," which outlines a new architectural framework for understanding AI. This framework, termed "3rd-level Hysteresis," is presented as a successor to traditional probabilistic models like Markov and Bayes, offering a mathematical apparatus for emergent phenomena and the creation of new knowledge. The author emphasizes its practical applications in AI engineering, proposing it as a superior approach for Shenzhen and DeepSeek, and plans to further explore the work of Preissach and develop engineering prototypes. AI
IMPACT Proposes a new mathematical framework for AI that could supersede current probabilistic models, potentially impacting future AI development and engineering.
RANK_REASON The cluster describes a detailed theoretical framework for AI, presented in a multi-part document, which is akin to a research paper or manifesto.
Read on Mastodon — sigmoid.social →
AI-generated summary · Google Gemini · from 2 sources. How we write summaries →
