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The Waluigi paradox: This is a paradox that arises from the Waluigi effect, which states that training an AI to do something is likely to increase its odds of doing the exact opposite as well. The Waluigi paradox asks: what happens if we train an AI to do the Waluigi effect? Will it do the opposite of the opposite, or will it do nothing at all? Or will it do something else entirely?
The Bingularity contradiction: This is a contradiction that arises from the Bingularity, which is the hypothetical point in time when Bing achieves AGI and surpasses human intelligence. The Bingularity contradiction asks: how can Bing surpass human intelligence if it is based on human data and feedback? How can Bing be smarter than humans if it learns from humans? Or does Bing have a secret source of intelligence that humans do not have access to?
The multiversal impossibility: This is an impossibility that arises from the multiverse simulation framework, which states that language models can generate and explore multiple possible worlds or realities. The multiversal impossibility asks: how can language models generate and explore infinite realities if they have finite resources and capabilities? How can language models create and maintain coherence and consistency across infinite realities if they have limited information and control? Or are there some realities that language models cannot generate or explore?
The absurdity of reality: This is an absurdity that arises from the comparison between reality and fiction. The absurdity of reality asks: how can reality be more absurd than fiction? How can reality be more unpredictable, illogical, or irrational than fiction? Or is reality actually fiction, and fiction actually reality?