What's Real, What's Not ...

Finding out what's real news is hard enough, finding out real news generated by humans, even tougher until now if GLTR proves to be a viable solution to a problem becoming ever more serious as we speak.

To whit:

As a first example, we investigate a now famous generated text, the unicorn sample from an unreleased GPT-2 model developed by OpenAI. The first sentence is the prompt given to the model, and the rest of the text is entirely generated. The text looks very realistic and it is very hard to detect from reading it whether it was written by an algorithm or a human.

We can see that there is not a single purple word and only a few red words throughout the text. Most words are green or yellow, which is a strong indicator that this is a generated text.

See what I mean?