In this classic episode, we explore how GPT-3, a free online natural language processing artificial intelligence by Open AI, does and doesn’t work. Make sure to stick around until the end for an update on how AI is a core demand between the Writers Guild of America and the Alliance of Motion Picture and Television Producers.

GPT-3 takes advantage of a whole new method of artificial intelligence research, called neural nets, to create plays, write code, and even roleplay as a historical figure. But what are the limitations to this kind of AI? University of Chicago professor Allyson Ettinger walks us through how GPT-3 manages to sound so human and where and how it fails in interesting ways.

Find our transcript here: LINK

Curious to learn more? Check out these additional links:

When GPT-3 accidentally lies: https://www.technologyreview.com/2022/11/18/1063487/meta-large-language-model-ai-only-survived-three-days-gpt-3-science/

Microsoft’s chatbot that went racist: https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist

Is GPT-3 a replacement or tool for journalists: https://contently.net/2022/12/15/trends/chatgpt/

Entertainment Community Fund: https://entertainmentcommunity.org/

Science and Entertainment Exchange: http://scienceandentertainmentexchange.org/

AO3 and data scraping: https://www.transformativeworks.org/ai-and-data-scraping-on-the-archive/

Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute

Follow Caitlin Parrish: @caitcrime

Follow Allyson Ettinger: https://allenai.org/team, @AllysonEttinger

This episode was audio engineered by Tyler Damme. 

Music by Blue Dot Sessions.

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.