Notes
Short essays, cross-posts, and technical notes.
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PurRDF 1.0: one RDF engine, one behavior, every language
PurRDF 1.0 is out: an RDF 1.2 toolkit written once in Rust and carried byte for byte into Python, WebAssembly/JavaScript, and C. Ranked full-text search, spatial predicates, and vector similarity are answered from SPARQL, in-process, over the same dataset — the three jobs for which an RDF project has usually run PostgreSQL beside its triple store.
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Logit Loom: turn the token boundary into a programmable surface
Logit Loom turns the token boundary into a programmable Rust surface: compose ordered logit transforms, observe exact token bytes, stop at defined boundaries, checkpoint llama.cpp sessions, and retain serializable receipts of the mechanics that ran.
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GMEOW: a reasoning-centric super-vocabulary for digital existence
A new ontology project: GMEOW, the Global Metadata and Entity Ontology for the Web — a reasoning-centric, OWL 2 DL, gUFO-grounded super-vocabulary for a person's or organization's digital existence. It mints canonical terms and aligns outward to FOAF, REL, DOAP, GEDCOM, PROV-O, ORG, schema.org, vCard and Wikidata, treating provenance, confidence, temporal validity, and coreference as first-class concerns.
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Gmeow: your mailbox is agent memory, keep it local
The recurring problem with useful personal agents is that the context they need already exists, but not in the tidy place a demo would like it to be. It is in mail. gmeow makes that mailbox substrate locally useful through loopback REST, MCP, PostgreSQL, semantic search, attachment sidecars, object storage, and a local knowledge graph.
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Agentic coding needs human sign-off tied to physical reality
As AI coding agents transition from passive autocomplete tools to autonomous contributors executing entire feature branches, we are racing toward a massive security blind spot: how do we prove a real human actually reviewed and verified agent-generated code before it hits production?
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Engineering principles should be runnable policy, not slide-deck nostalgia
If your team's standards live in a slide deck, your AI agents will violate them. coding-ethos compiles one YAML file into linter configs, git hooks, agent prompts, and an MCP server so the rules cannot drift between human and machine readers.
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Standard Graph Neural Networks need curved semantic manifolds
Standard GNNs are structurally constrained when mapping complex text attribution; linear aggregation in flat Euclidean space inevitably forces semantic drift. Looking to connect with researchers in TDA, geometric deep learning, and spectral graph theory.