What GPT-3 and AI-Generated Text Means for the Future of Written Content – with Peter Welinder of OpenAI

Nicholas DeNittis

Nick DeNittis writes and edits AI industry trends and use-cases for Emerj's editorial and client content. Nick holds an MS in Management from Troy University and has earned several professional analytics certificates, including from the Wharton School.

What GPT-3 and AI Generated Text Means for the Future of Written Content@2x

It is not hyperbolic to state that the autoregressive language model known as GPT-3 (short for ‘Generative Pre-trained Transformer 3’) is an unparalleled evolutionary step in content creation. In fact, the potential outputs the model can produce are so advanced that many academics have cited GPT-3 as Exhibit A in calling universities to reconsider what constitutes academic plagiarism. 

In the business world, enterprises all over the globe are using GPT-3’s platform to design innovative products and solutions, most notably content creation applications. Example applications of the technology include: automated customer service, report generation, sentiment analysis, knowledge management, and machine translation.

Peter Welinder is OpenAI’s VP of Product and Partnerships – and one of the principal designers of GPT-3. Peter recently sat down with Emerj CEO Daniel Faggella on the AI in Business podcast to discuss three ways that GPT-3 is changing written content creation and consequen...

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