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This Week in AI: Let us not forget the humble data annotator
Keeping up with an industry as fast-moving as AI is a tall order. So until an AI can do it for you, here’s a handy roundup of recent stories in the world
Annotators sometimes go long stretches without receiving work, or they’re unceremoniously booted off Scale AI — as happened to contractors in Thailand, Vietnam, Poland and Pakistan recently. But as MIT Tech Review’s Kate Kaye notes, there are no regulations, only weak industry standards for what ethical labeling work means — and companies’ own definitions vary widely. SEEDS uses diffusion to generate “ensembles” of plausible weather outcomes for an area based on the input (radar readings or orbital imagery perhaps) much faster than physics-based models.
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