Test readers found the AI’s fake news more credible than human-written fake news
biggest breakthroughs has been a shift towards more dynamic, context-savvy models that require minimal input data, such as a revolutionary text generation system called GPT-2. That program made headlines earlier this year after its creators, the nonprofit/for-profit hybrid group OpenAI, deemed it too dangerous to release to the public.
Grover’s framework is modeled after that of GPT-2, but the authors iterated on the design by adding settings that shape the writing style and content of the text according to publisher domain, author and date inputs. For instance, if you prompt the system to generate a column from New York Times columnist Paul Krugman, the resulting text might imitate his writing style, depending on how much of his real work was included in training data.
The program can also write period-specific content. If you set the date to, say, 2008, the output may even include a mention of Barack Obama’s inauguration or the financial crisis, according to Zellers.