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.
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'.
A comprehensive system architecture enabling LLMs to design, simulate, and visualize analog circuits through a Central Intermediate Representation (CIR-JSON), combining eecircuit simulation with tscircuit visualization.
A novel regularization framework for large language models using spherical harmonic decomposition to control semantic frequencies and enable principled hallucination suppression.
date: 2025-07-06 title: “Mamba-Based Neural Knowledge Graph Integration: A Research Proposal” layout: post date: 2025-01-07 last_modified: 2025-01...
A comprehensive framework analyzing chaotic dynamics in LLM iterative feedback systems, exploring convergence patterns, systematic biases, and optimal human intervention strategies.
First systematic study of LLM performance degradation when processing self-referential and meta-cognitive content, revealing exponential failure rates with recursive depth.
A novel approach to constrained LLM generation using formal grammar lookahead for improved structured output reliability