In this episode of the Odd Lots podcast, hosts Joe Weisenthal and Tracy Alloway interview Jack Morris, an AI researcher, to discuss the current state of AI research, model evaluation, and the factors driving progress in the field. They delve into the differences between public and private AI research, the challenges of measuring AI improvement, and the importance of data sets. The conversation covers topics such as supervised versus reinforcement learning, the potential of personalization and online learning, and the competitive landscape between US and Chinese AI labs. Morris shares his insights on the future of AI, the balance between scientific curiosity and monetization, and the ethical considerations surrounding AI development.
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