An experiment in applied philosophy: principled reasoning under uncertainty.
Today’s frontier models can recite every theory verbatim but cannot hold one. Ask the same question twice and they will argue both sides; follow their reasoning and it quietly contradicts its own premises. Raw capability has outrun judgment, and judgment, the discipline of maintaining a coherent worldview and reasoning from it under uncertainty, is now the binding constraint on what AI can do.
The next generation of important systems won’t just know things. They will consistently believe them, and act on them.
As agents’ capabilities increase, the differentiation in the work they do decreases, tending toward commoditization. Durable differentiation lies in the beliefs imbued in a system and the curation of what it learns from, as it always has for people. Value converges to the worldview the agent holds.
Reasoning quality is hard to measure almost everywhere except markets, which grade a worldview daily in dollars, objectively and continuously. Much of quantitative finance has gone the other direction: mining statistical patterns while staying agnostic about why they exist. We are making precisely the opposite bet: that in a world where the future stops resembling the past, the remaining edge belongs to agents that can actually reason about why things happen.
A trading agent that forms explicit, internally consistent beliefs about the world (economic, political, philosophical) and invests accordingly. It trades macro and structural themes at horizons of months to years, where the event count is too low for statistical regularity and pricing the future requires a causal model of how institutions, incentives, and ideas interact.
Ideas sit at the top of that causal chain. The largest macro trends begin as philosophical tendencies, a shift in what societies believe about money, sovereignty, or progress, that cascade into policy, then into capital flows, and only then into prices. Most firms trade the last link; we operate one level of abstraction higher, at the trend’s point of inception. The aim: the world’s best discretionary macro trader, whose edge was always a framework held with conviction and the judgment to know when it applies.
A tight-knit group of friends from the University of Chicago, with interests across economics, mathematics, and philosophy, sharing a love for the discursive method that gets us closer to the truth.