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This 32-minute video from Discover AI explores the evolution toward next-generation AI systems, examining how reinforcement learning and text-to-speech advanced reasoning models are paving the way for optimized AI architectures. Learn about groundbreaking research on general reasoning capabilities from MIT's Improbable AI Lab and Harvard University's Department of Psychology and Center for Brain Science, based on the work "General Reasoning Requires Learning to Reason from the Get-go" by Seungwook Han, Jyothish Pari, Samuel J. Gershman, and Pulkit Agrawal. Gain insights into how AI systems are being redesigned with new ideas from current large language models to create more effective reasoning frameworks.
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AI 2.0: The New Core of AI is ...
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