What, if anything, do AIs understand? (with ChatGPT Co-Creator Ilya Sutskever)
Clearer Thinking with Spencer Greenberg
Balancing Memorization and Generalization in AI
This chapter examines the training of large AI models like GPT-3, focusing on the interplay between parameter count and training data. It delves into the capabilities of neural networks to memorize data while also generalizing to new situations, drawing comparisons with human learning processes. The discussion highlights the limitations and potential of AI compared to human intelligence, exploring themes of symbolic reasoning and the computational demands of achieving human-level understanding.
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