Why humanoid robot demonstrations keep failing the generalization test

In episode 265 of The robot report Podcast, our guest is Jeanine Sinanan-Singh, director of generative AI research at Appen. Discusses the continued importance of humans in the robot training cycle.

Sinanan-Singh works on agent evaluations, RL environments, and dataset design for post-training frontier AI models. It also explains why impressive demonstrations do not necessarily prove that robotic behavior can be generalized.

Sinanan-Singh had previously founded a pharmaceutical automation startup built on a 3D printing platform to produce personalized medicines. A Harvard graduate with prior experience at Microsoft and Surge, she is a frequent voice in the field of AI evaluation and reasoning.

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