Prototypes, tools, and research platforms — each producing something real before it produces a paper.
A near real-time public visualization of America's clean energy deficit. The clock calculates the running gap between total U.S. electricity consumed — sourced from EIA daily balancing authority data — and total Renewable Energy Certificates retired across regional tracking registries (WREGIS, M-RETS, EPA GATS).
The deficit is calculated from January 1, 2015 onward, a date chosen to coincide with the maturation of the modern REC market and the Paris Agreement baseline year. Historical annual figures provide a static offset; live EIA data ticks the clock forward in real time, interpolating between API fetches so the number never stands still.
Modeled on the National Debt Clock. Built for the same reason: a problem that is invisible cannot be solved.
A cognitive architecture for persistent AI memory, designed to give AI systems the ability to learn, remember, and develop over time. Rather than relying on ever-larger models, Algernon pairs small, efficient models with a rich external memory infrastructure — hierarchical storage, nightly consolidation cycles, compressed context pipelines, and trust-based governance.
The thesis: smarter architecture can outperform bigger parameters. Named after Flowers for Algernon.
Algernon's persistent memory core. Instead of dumping all memories into one flat vector database, MemHub organizes knowledge into nested “galaxies” — top-level domains like People, Projects, Research, and Finance that narrow exponentially into sub-domains before fine-grained similarity search ever runs. Position in the hierarchy carries implicit context, making retrieval faster and more precise.
Cross-domain connections are maintained through knowledge graph “wormholes” that bridge otherwise unrelated concepts. MemHub is bidirectional — it serves both AI memory and human memory.
An environmental energy project exploring thermoelectric power generation from organic decomposition. The concept uses thermoelectric generators (TEGs) embedded in compost or landfill material to convert waste heat into electricity — a dual benefit: extracting usable energy while simultaneously reducing decomposition temperatures, which may decrease methane emissions.
The project begins with a backyard-scale prototype and targets municipal landfill applications at scale.