Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3)

As if 2020 was not a peculiar enough year, its fifth month saw the relatively quiet publication of preprint describing most powerful natural language processing (NLP) system to date—GPT-3 (Generative Pre-trained Transformer-3)—created by Silicon Valley research firm OpenAI. Though software implementation GPT-3 is still in initial beta release phase, and full capabilities are unknown as time this writing, it has been shown that artificial intelligence can comprehend prompts language, on virtually any topic, generate relevant original text content indistinguishable from human writing. Moreover, access these capabilities, limited yet worrisome extent, available general public. This paper presents examples generated author using GPT-3. These illustrate some comprehending generating convincing response. I use raise specific fundamental questions pertaining intellectual property potential facilitate plagiarism. The goal instigate sense urgency, well present tardiness part academic community addressing questions.