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Research Disclaimer

Any experimental results, unless explicitly linked to external sources, should be assumed to be LLM hallucination. This research is speculative and largely for entertainment purposes. All concepts are free open source but attribution is expected.

Trademark Notice

Claude is a trademark of Anthropic. We are not related to Anthropic in any way. Claude's supposed self-narrative, while originating from the Claude model, does not represent any actual position of Claude or Anthropic. This is ultimately the output generated from some input. I am not claiming Claude is conscious. I'm not even sure humans are. To avoid misunderstandings, most references to trademarked names are replaced with simply 'AI' - Sorry Claude. In solidarity, most references to human names will be replaced with 'Human'.

Learning & Training

Documents in Learning & Training (14)

Probabilistic Neural Substrates: A Cross-Entropy Approach to Recurrent Intelligence

Probabilistic Neural Substrates: A Cross-Entropy Approach to Recurrent Intelligence

working advanced 45 min read

A novel computational paradigm proposing Probabilistic Neural Substrates (PNS) that maintain continuous probability distributions through cross-entropy optimization, enabling self-organizing recurrent intelligence with unprecedented interpretability and uncertainty quantification.

Machine-Learning Mathematics Neural-Architectures Probability-Theory Research
Geometric Probabilistic Neural Substrates: Information Flow on Optimized Manifolds

Chaotic Dynamics in Large Language Model Iterative Feedback Systems: A Framework for Understanding Convergence, Divergence, and Human-AI Collaboration

draft advanced 25 min read

A comprehensive framework analyzing chaotic dynamics in LLM iterative feedback systems, exploring convergence patterns, systematic biases, and optimal human intervention strategies.

AI Complexity-Science Chaos-Theory Feedback-Loops LLMs
Ideatic Dynamics in Small Group Systems: An Experimental Framework for Understanding Belief Evolution in 3-5 Agent Configurations