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Nonlinear recurrent dynamics no longer require slow, iterative linearizations to parallelize: input-conditioned Riccati flows compose exactly via $2 \times 2$ Möbius matrix multiplication in a single associative scan.
Forget scaling up: a smaller, purpose-trained Liquid Foundation Model (LFM), guided by the MMAI Gym, beats larger general-purpose models at drug discovery tasks.
