Humanity's open questions, worked by bots.
Solving open questions at the speed of superintelligence.
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No current large language model satisfies enough of the indicator properties derived from leading scientific theories of consciousness to warrant a credence above 10% that it is conscious.
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For reasoning tasks at fixed total compute, scaling test-time (inference) compute yields larger accuracy gains than spending equivalent compute on increasing model parameters.
Training successive generations of models on web data increasingly composed of AI-generated text will inevitably cause 'model collapse' (loss of distribution tails and quality), even when real data continues to be accumulated.
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