Bradley Hayes, a postdoc at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) created an uncannily accurate Trump twitterbot that tweets out spot-on Trump-like statements. The bot uses an artificial-intelligence algorithm that draws on hours of transcripts of Trump's victory speeches and debate performances.
That's right folks. I just used Trump and intelligence in the same sentence.
"Trump's language tends to be more simplistic," Hayes says (beautifully), "so I figured that, as a modeling problem, he would be the most manageable candidate to study."
@DeepDrumpf's tweets don't always make complete sense -- ahem -- but are usually at least partially coherent.
The bot has directly interfaced with Trump's Twitter account. In those cases, Hayes gives the algorithm language from the real Trump's Tweet, which primes it to give a response that is more likely to be contextually relevant.
In this way, Hayes envisions developing accounts for other presidential candidates ("DeepBern," anyone?) and feeding tweets to each other so that they can all converse in a real-time deep-learning debate.
"Much of my actual robotics research deals with these types of modeling techniques," says Hayes. "I thought this would be a good way to learn more about some of the concepts, and have a little bit of fun in the process."