lab
systems, tools and research that don't need their own company.
markets, local ai, weird hardware ideas. some become useful. some become an elaborate way to learn i was wrong.
markets
make the decision explicit.
i am very capable of feeling smart while losing money. the point here is to turn trading ideas into rules before hindsight turns me into a genius. research tooling, not a promise of returns.
01scanners
02signals
03options
04automation
05research
ai & agents
the implementation layer.
benchmarks are nice. i care whether an agent can actually take work off my plate without creating a new job called supervising the agent. local models, evals, harnesses, hardware, whatever works.
01local inference
02agent workflows
03model evaluation
04multi-model loops
05hardware
research
try to prove it wrong.
the expensive ideas get a kill test first. if i can ruin the theory in simulation before i ruin my month in fabrication, that counts as a win.