Hey there it’s exciting to see more researchers exploring semantics, symbolics, prompting evolutions, and agentic healing. I believe we may be exploring similar directions by measuring meaning/information density under constraint with the concept of Symbolic Residue, similar to your Semantic Residue. The convergence in concepts even though we live across the world from each other is quite interesting to me.
I’m a psychology researcher and developer. I’m part of a team of researchers and engineers exploring Evolutionary AI, with a focus on bridging recursive reasoning, symbolics, adaptive context and frontier machine learning architectures.
Here’s one of our projects on symbolics, as well the preprints we submitted to NeurIPS. Let me know if youd to like to discuss any topics further:
Symbolic Residue Diagnostic Suite: Tracks and diagnoses transformer model failure modes: silent inconsistencies or “residues” in reasoning paths. The structural data vectors behind why advanced reasoning fails.
Self-Tracing: Building on Anthropic’s Circuit Tracer, Neuronpedia, and Circuit Tracing (Lindsey et al., 2025), we attempt to extend the paradigm with novel schemas to enable recursive self-interpretation, where models continuously monitor, trace, and explain their own decision processes, presented as interactive artifacts hosted on each frontier AI’s system.
Langton’s Emergence (personal passion):
Recently I have been researching emergent complexities through first principles reductionism of Langton’s Ant and related cellular automata in the hopes that they could potentially offer insights into the emergent intricacies of frontier large language models.
Preprints of NeurIPS 2025 Position Papers: