01
Test-time training
Models that keep learning at inference. Instead of a fixed set of weights, the model adapts to the input in front of it, while it runs.
What we work on
02
Frontier models on old and edge hardware
Running large models on older GPUs and edge devices without crushing them through heavy quantization. Keep the quality, drop the datacenter requirement.
Why it matters
AI that runs on the hardware people actually have.