PyTorch(@PyTorch):At #PyTorchCon 2026, Sara Hooker @sarahookr (@adaption_ai) examines the limits of scaling larger models and the shift toward adaptive intelligence. Sara discusses post-training, test-time scaling, adaptive compute, and hardware co-design as alternatives to simply scaling pretraining. She highlights AutoScientist examples spanning agent harness optimization, agent memory, and dataset creation. Her keynote explores how making AI easier to adapt and customize could enable more people to build and own frontier AI. 2026 prediction? "You will build and own frontier AI"

2026.10.20 17:09

At #PyTorchCon# 2026, Sara Hooker @sarahookr (@adaption_ai) examines the limits of scaling larger models and the shift toward adaptive intelligence. Sara discusses post-training, test-time scaling, adaptive compute, and hardware co-design as alternatives to simply scaling pretraining. She highlights AutoScientist examples spanning agent harness optimization, agent memory, and dataset creation. Her keynote explores how making AI easier to adapt and customize could enable more people to build and own frontier AI. 2026 prediction? "You will build and own frontier AI"