SKILD AI'S S1 LEARNS 10-MINUTE ROBOT TASKS FROM A SINGLE VIDEO, NO FINE-TUNING

Summary from the TLDR Hardware newsletter

Skild AI's S1 is a foundation model that performs in-context learning for robotics, meaning it can be shown a single video of a long-horizon task, over 10 minutes long and never seen during pre-training, and then execute it without any fine-tuning. It's a meaningful step beyond typical robot foundation models, which usually need dedicated training data for each new task rather than picking one up on the fly from a single demonstration. This fits a broader pattern this year of general-purpose robot models learning tasks purely from examples, following similar early demos from Rhoda and Generalist, with Skild's version notably extending the horizon out to a full 10 minutes.