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Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel

Machine Learning Street Talk (MLST)

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The Challenges of Model Collapse and AI Self-Improvement

This chapter examines the risks of model collapse in large language models due to their reliance on static datasets. It emphasizes the necessity for AI to evolve beyond imitation and actively incorporate new information to foster a comprehensive understanding, particularly in the realm of AI safety.

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