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Is Emergence Real or Just Bad Metrics?
When models scale up, do genuinely new capabilities suddenly appear—or are we just measuring improvement badly? This episode digs into the Wei et al. emergence paper, the Schaeffer et al. rebuttal that called it a "measurement mirage," and where the science actually stands. We cover the mathematical argument behind metric artifacts, the cases emergence skeptics can't explain away (like chain-of-thought reversal), how the Chinchilla scaling laws reframe the whole debate, and what grokking tells us about real phase transitions. If you're trying to understand what larger models will actually do…
The skinny
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