Brian Zhan(@brianzhan1):For real world robotics deployments, learning the initial procedure is only part of the challenge. Most startups' robot foundation models are already able to do that. To deploy in to the real world, robot also needs to adapt when that procedure changes. In-context learning offers a way to communicate those changes through another demonstration, rather than automatically starting a new data-collection and training project. That reduces the engineering required to keep complex deployments useful as the customer’s operation evolves. Skild had a unique focus on in-context learning, and it is reaping the rewards in the scale of their deployments within the first year.

2026.09.12 04:01

For real world robotics deployments, learning the initial procedure is only part of the challenge. Most startups' robot foundation models are already able to do that. To deploy in to the real world, robot also needs to adapt when that procedure changes. In-context learning offers a way to communicate those changes through another demonstration, rather than automatically starting a new data-collection and training project. That reduces the engineering required to keep complex deployments useful as the customer’s operation evolves. Skild had a unique focus on in-context learning, and it is reaping the rewards in the scale of their deployments within the first year.