Evolutionary Approaches in AI
The discussion highlights the limitations of current large language models (LLMs) and emphasizes the need for self-improvement and autonomy in AI systems. By leveraging the notion of "interestingness" derived from vast human textual datasets, researchers are exploring innovative ways to navigate complex search spaces, potentially leading to a powerful evolutionary approach that combines mutation and selection processes.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
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