"Companies that will freely spend millions of dollars to build or rent an AI data center and millions more hiring top technical talent will balk at the idea of spending tens or hundreds of thousands to acquire high quality data to train those models."https://www.forbes.com/sites/kalevleetaru/2019/02/05/why-is-our-ai-revolution-built-on-free-data-rather-than-good-data/#6edd1c806be0 …
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eg China https://www.nytimes.com/2018/11/25/business/china-artificial-intelligence-labeling.html … or Africa https://www.bbc.co.uk/news/technology-46055595 …? Scale, which I've never heard of, is 10k people all on its own:https://techcrunch.com/2018/08/07/scale-whose-army-of-humans-annotate-raw-data-to-train-self-driving-and-other-ai-systems-nabs-18m/ …
Here's an example of the quite elaborate & expensive large-scale active learning (https://www.reddit.com/r/reinforcementlearning/search?q=flair%3AActive&sort=new&restrict_sr=on …) used to improve data quality by Google: https://arxiv.org/abs/1811.00982
