Intro

This chapter examines the strengths and weaknesses of the GPT-3 language model, including its sampling techniques and problem-solving accuracy. The discussion also addresses the implications of GPT-3's performance in AI, raising critical concerns about its data dependency and the distraction it may cause from the goal of achieving reliable artificial intelligence.

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