Flapping Airplanes
Foundational AI research lab targeting the data-efficiency problem: training models that reach human-level reasoning without massive datasets. Research directions include rethinking loss functions and gradient descent itself, with GPU utilization pushed to unconventional extremes. Backed by Sequoia, GV, and Index with $180M at launch.