{"id":54589,"date":"2019-12-30T00:00:00","date_gmt":"2019-12-30T00:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/podborka-zanimatelnyh-statisticheskih-faktov-2"},"modified":"2026-05-20T17:49:32","modified_gmt":"2026-05-20T17:49:32","slug":"podborka-zanimatelnyh-statisticheskih-faktov-2","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/news\/podborka-zanimatelnyh-statisticheskih-faktov-2","title":{"rendered":"Collection of intriguing statistical facts #2","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A collection of graphs and results from various studies with brief annotations.<\/p>\n

\"Collection<\/a><\/noindex><\/p>\n

I love these graphs because they stimulate the mind, though I also understand that it\u2019s less about statistics and more about conceptual theories. In short, the computational power needed for training AI is growing seven times faster than before, according to OpenAI.<\/p>\n

So, it\u2019s not a lack of expertise that keeps us from 'Big Brother', but Moore\u2019s Law. And what will happen if, while reaching those ambitious goals in machine learning that many companies are striving for, it turns out that it's all unprofitable?
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\"Collection<\/a><\/noindex><\/p>\n

You\u2019ve surely heard about the cannabis revolution in the states. About online shops, hundreds of millions in venture funding, about Boris Jordan? Well, I came across a graph from RiskHedge on Forbes that reflects the sales volume of weed and its supplies. Another brewing bubble?<\/p>\n

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Figures:<\/h2>\n

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