The prevalence of delve hints at the danger of hyper concentration around hyper-centralized models.

  • The prevalence of delve hints at the danger of hyper concentration around hyper-centralized models.
    • Presumably one of the human raters had a slight preference for the word "delve."
    • But a consistent bias in the RLHF data can create a bias that stands out from the noise.
    • Now multiply that one model by billions of interactions, and suddenly that one person's preference for delve has society-wide effects.

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