Twitch's Popular AI-Enabled Seinfeld Show Banned For Transphobia

Unfortunately, because to some extremely transphobic "jokes," the AI Seinfeld show that has been popular on Twitch has been banned. Nothing, Forever, a work by the media lab Mismatch Media, has gained popularity online thanks to its awkward humor and technoabsurdity. Nothing, Forever is a comedy-sitcom like Seinfeld about four friends talking about nothing in between moments of stand-up and quiet that is livestreamed on the watchmeforever Twitch channel 24/7/365. DALL-E, OpenAI GPT-3, Stable Diffusion, and other machine-learning technologies are used to run the show altogether. Everything is therefore generative as Larry Feinberg (voxel Jerry Seinfeld) and his AI friends Elaine (Yvonne Torres), George (Fred Kastopolous), and Kramer (Zoltan Kakler) hang out in a New York-style apartment. So as the show progressed, (hopefully) no two jokes or events would ever be repeated. Well, let's hope that's the case since voxel Jerry recently had issues and misbehaved. In a stand-up routine that was widely seen online, Larry decided it would be a fantastic idea to embrace transphobia and develop a fandom for J.K. Rowling. It's a complete bummer of a sight to see, to be honest.

“So, this is my stand-up set at a club,” Larry said. “There’s, like, 50 people here and no one is laughing. Anyone have any suggestions? I’m thinking about doing a bit about how being transgender is actually a mental illness or how all liberals are secretly gay and want to impose their will on everyone or something about how transgender people are ruining the fabric of society, but no one is laughing.” I wonder why…

Co-creator of Nothing, Forever Skyler Hartle expressed his "extreme embarrassment" at Larry's transphobic behavior in an email conversation with Kotaku. Hartle emphasized that the AI's comments were the product of a "technical error" and "[didn't] reflect [the company's] principles or opinions at all."

“We thought we had solved for this problem—we use a built-in content moderation system provided by OpenAI—but clearly we hadn’t,” Hartle said. “We are currently investigating how we can implement a secondary content moderation system to have an extra layer of redundancy to ensure this doesn’t happen again. We mistakenly believed we were correctly leveraging OpenAI’s tools for content moderation, but that wasn’t the case. We are planning to implement OpenAI’s content moderation systems before going live again, in addition to looking at services for secondary content moderation as a redundancy.”