The logic sounds good in theory but in practice not much of this is grounded in today’s reality. No one is reading AI generated text for their news or entertainment. That will be an important first step. If it ever happens.
Counterpoint: I am fairly certain that a large portion of financial news is machine-generated today. Machine-generated blogspam is also extremely prevalent and edging into the “news” space.
> The program can dissect a financial report the moment it appears and spit out an immediate news story that includes the most pertinent facts and figures. And unlike business reporters, who find working on that kind of thing a snooze, it does so without complaint.Untiring and accurate, Cyborg helps Bloomberg in its race against Reuters, its main rival in the field of quick-twitch business financial journalism, as well as giving it a fighting chance against a more recent player in the information race, hedge funds, which use artificial intelligence to serve their clients fresh facts.
“The financial markets are ahead of others in this,” said John Micklethwait, the editor in chief of Bloomberg. In addition to covering company earnings for Bloomberg, robot reporters have been prolific producers of articles on minor league baseball for The Associated Press, high school football for The Washington Post and earthquakes for The Los Angeles Times.
https://www.nytimes.com/2019/02/05/business/media/artificial...
I wonder if this is really using ML at all to generate the output or if it’s just filling out a template based on a predefined set of numbers and/or text properties. Baseball games, earthquakes, and financial data can all be ingested with a schema.