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#159 Peter Chen: Building the AI-Driven Future of Robotics
Eye On A.I.
Covariant’s Conviction on Foundation Model for Robotics
The foundational research philosophies emerging from the early days of OpenAI emphasized three core strategies: the development of a foundation model capable of scaling through large, diverse datasets; the utilization of generative models to effectively process vast amounts of unlabeled and unstructured data; and the application of reinforcement learning to enable models to make decisions and take actions in real-world scenarios. These philosophies not only shaped the trajectory of OpenAI but also significantly influenced the founding principles of Coverian, where the focus remains on building a single large foundation model that can perform across a broad range of tasks, leveraging transfer learning to exhibit emergent behaviors.
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