The biggest problems in financial markets x AI is the measurement problem Markets are so complex that it's unclear what to measure and how to measure it accurately A successful backtest could be a sign of a great strategy, but it probably isn't. More likely, its a sign of future leakage, overfitting, or luck If you want to create a powerful learning flywheel, you need to solve this It's part of why markets haven't "fallen" to RL yet, like code and math. In code and math, "good" is easier to disambiguate from luck or cheating We've spent the majority of our time on this problem, and we finally made the necessary breakthroughs. You'll be able to feel the effects of this when we release our first family of models