\[\hat{s}= \sum_{k \in \mathcal{D}} k\,p(k).\]This produces a smooth score such as (5.4), rather than forcing the model to commit to a single sampled integer. In practice, this is substantially more stable than naive score sampling and better reflects the model’s uncertainty. It also handles cases where the judge distribution is broad or multimodal. For example, two candidates may both have mean score (5.4), while one has most of its mass tightly concentrated around (5) and (6), and the other splits mass between much lower and much higher ratings. The mean alone is the same, but the underlying judgement is very different.
Over the years, Android has evolved into a critical piece of technological infrastructure that serves hundreds of governments, millions of businesses, and billions of citizens around the world. Unilaterally consolidating and centralizing the power to approve software into the hands of a single unaccountable corporation is antithetical to the principles of free speech, an affront to free software, an insurmountable barrier to competition, and a threat to digital sovereignty everywhere.
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