people, not machines

Research

Seven directions. Status is stated plainly: done, in progress, or planned.

Deterministic verification of AI outputs

A verification layer that runs alongside a language model and checks its claims against an explicit ontology using Answer Set Programming (Clingo/Potassco). The design borrows from SAT solvers and conflict-driven nogood learning. Status: architecture defined, prototype next.

An axiomatic map of ML algorithms (SAT/ASP algorithm space)

111 algorithms encoded against abstract and mathematical attributes, principles mined with Clingo and stress-tested by three independent scanners, and the admissible design space enumerated exactly: known algorithms occupy 95 of 556,340 admissible profiles. Status: draft paper, see Papers.

Alignment cost inversion

A hypothesis: for increasingly capable systems, full verification may cost an order of magnitude more than development, turning the "alignment tax" into the dominant cost. The 10x–20x range is a hypothesis, not a measurement. Status: essay in preparation.

Embeddings

Six studies (Sep 2026) on how sentence-embedding models encode truth and negation, logical connectives, a 37-item logic taxonomy, arithmetic, and 60 ordered scales, with held-out splits, bag-of-words baselines and shuffled-target controls. One finding: there is no shared AND/OR/NOT operator across forms. Status: being merged into one paper.

Ontologies

Explainable reasoning via ASP plus ontologies, the common thread of the two lines above.

Connectome and Bloom's taxonomy

Language-model "connectome" and entropy-compression experiments from March 2026 . Status: unpublished; to be re-run cleanly before any claims.

Continuous research systems and recyclable language models

Autonomous research loops, and architectures where reasoning is inspectable rather than emergent, so the explainable part can be reused across models. Status: design notes.