GEN-1.5：通用型 AI 仅凭单次演示教会机器人新任务

GEN-1.5: Generalist AI teaches robots new tasks from a single demo

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机器人初创公司 Generalist AI 发布 GEN-1.5，该模型可将 3 至 12 秒的演示作为“物理提示词”载入上下文窗口，让机器人无需训练即可执行任务。在开罐、取钱等十项测试中，平均成功率为 59%；用五分钟数据训练十步后，成功率升至 83%。模型还能串联两个提示词、使用仿真演示并部分模仿人类手部动作，但所有结果均出自公司自身，未经独立验证。

正文 · 原文

Robotics startup Generalist AI has unveiled GEN-1.5, an AI model that teaches robots new tasks from a single demonstration. A 3- to 12-second demo gets loaded into the model's context window as a "physical prompt," essentially the model's short-term memory. After that, the robot performs the task with no training at all. Across ten tests like opening a jar or pulling money from a wallet, the company reports an average success rate of 59 percent. With ten training steps on five minutes of data, that number jumped to 83 percent.

The model can chain two prompts together into longer sequences, use demos from simulation, and partly imitate human hand movements. According to Generalist, these abilities emerged on their own during more than eight months of pretraining on interaction data. They were never explicitly trained.

Other research teams have shown similar in-context learning before, but only for a handful of task types. Generalist claims to be the first to make it work across a wide range of tasks. The tasks shown are simple and short, though, and all results come from the company itself. None have been independently verified.

Generalist