The Sequence Robotics - Issue #957: Generalist and the Rise of Promptable Robots

Generalist is developing robot models based on the idea that extensive physical pretraining can create a reusable foundation for behavior. Their models, progressing through GEN-0, GEN-1, and GEN-1.5, show significant success rates and are moving towards in-context physical prompting. The core question remains whether these reported improvements translate to complete, long-term tasks in real-world applications.

• Generalist is developing robot models that rely on large-scale physical pretraining to create a reusable foundation for robot behavior.
• The goal is to enable robots to learn new tasks with only a short demonstration, rather than requiring bespoke datasets.
• The company’s models have progressed through GEN-0, GEN-1, and GEN-1.5, showing increasing success rates and advancements in physical prompting.
• A key open question is whether the reported gains will hold up in complete, long-horizon jobs during actual deployments.
  https://bender.layer3.press/articles/a817668d-3773-44df-80d3-a4fd14b2ed84