What we’ve seen in recent years isn’t just the collapse of informational authority. It is the destruction of the pact between the purveyors of quality information and the businesses that wanted to reach the consumers of that information.
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“… The deep state is working hand in hand with Silicon Valley social media giants like Twitter, Facebook and Google to control the flow of information. That includes suppressing, censoring and sometimes outright purging dissenting voices…. that one of the world’s most influential social networks is controlled in part by an active psychological warfare officer was not covered at all in the New York Times, CNN, CNBC, MSNBC or Fox News, who appear to have found the news unremarkable…..”
OpenAI, the San Francisco-based AI research lab, has been trying to track the amount of computing power required for machine learning ever since the field could be said to have started in 1959. What it’s found is that the history divides into two eras. From the earliest days to 2012, the amount of computing power required by the technology doubled every two years – in other words, it tracked Moore’s law of growth in processor power. But from 2012 onwards, the curve rockets upwards: the computing power required for today’s most-vaunted machine-learning systems has been doubling every 3.4 months.
Vorhies has collected and released 950 pages of Google documents that paint a comprehensive picture of how Google is manipulating public opinion and the political landscape