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In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.

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It is that distinction Pavitt tries to surface in coaching: "It's about discerning whether the chemistry you feel is showing me this person's compatible with me or if it is a familiar sense of anxiety.

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Canadian officials summoned leaders from OpenAI to Ottawa this week to address safety concerns about ChatGPT. The crux of the government concerns was that OpenAI did not notify authorities when it banned the account of a user who allegedly committed a mass shooting in British Columbia earlier this month.