Here is an idea that, if done well, subverts the use of Twitter as a political tool by making the content into a joke.
“No Trump Tower against me blacks from @SarahPalinUSA look forward to it. He should go down. Make America Great Again!
— No Puppet v 0.1 (@Turing_Trump) January 31, 2017
We hear about technology as a destroyer of jobs: automated factories, and maybe someday self-driving cars. These trends hit a whole sector of Trump’s supporters. But could the need for Trump himself be eliminated?
Above is an example of a Trump tweet simulator. The idea is fairly simple. Trump’s tweets have many distinctive characteristics: “Sad!” “Overrated!” and the like. It does not seem like such a stretch to take all of Donald Trump’s tweets (and maybe utterances too) and train an algorithm to spew out text that has the same statistical properties. This is exactly what Justin Stanley has taken a Trump lexicon and used it to train a neural network. His network generates a random sequence of characters like the one above.
It is clearly a work in progress. But it could be great as a real tool. It’s almost as coherent as Trump; add a few rules, and it could be a competent emulator. Plus, it is less likely to cause international incidents.
If Trump’s 140-character pearls can be emulated by a computer algorithm, that could be a convenience for Steve Bannon. After all, puppet Trump is fairly expensive to operate, even with Russian subsidies. With the help of Auto-Crat, Bannon could reduce Trump’s hours to executive-order signing ceremonies.