According to @JeffDean, DataRater is a research effort focused on automatically and continuously learning which training examples help a model the most, and he credited co-authors @luisa_zintgraf, @dancalian, @greg_far, @iurii_kemae, @matteohessel, @shar_jeremy, @junh_oh, András György, Tom Schaul, @hado, and David Silver as collaborators; source: @JeffDean on X, Nov 5, 2025. According to @JeffDean, the post did not provide performance metrics, code, a paper link, or any release timeline, limiting immediate quantification of impact; source: @JeffDean on X, Nov 5, 2025. According to @JeffDean, there was no mention of cryptocurrencies or tokens, so no direct crypto market impact can be derived from the source alone; source: @JeffDean on X, Nov 5, 2025. According to @JeffDean, traders should monitor for follow-up materials from the named authors (such as a paper or benchmarks) before adjusting positioning in AI-exposed equities or AI-related crypto narratives; source: @JeffDean on X, Nov 5, 2025.