Nothing, Forever – a streaming, AI-generated, always-on television show
Hey everybody, we're finally launching our always-on, generative show -- Nothing, Forever -- streaming on Twitch. Nothing, Forever is a parody of '90s sitcoms, done in the style of '90s point-and-click PC games (but, you know, in 3D). We set out to build something weird, new, and novel, and this is what we ended up with. Aside from the artwork and the laugh track you'll hear, everything else is generative, including: dialogue, speech, direction (camera cuts, character focus, shot length, scene length, etc), character movement, and music. Nothing, Forever is built using a combination of…
In plain words
Nothing, Forever is an always-on streaming show on Twitch that parodies 1990s sitcoms in the visual style of 3D point-and-click adventure games. The show uses AI to generate dialogue, character speech, camera direction, movement, and music, while the artwork and laugh track are created manually. Built with machine learning and generative algorithms, it produces continuous, never-repeating content for viewers interested in experimental entertainment that combines nostalgic television and gaming aesthetics.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey everybody, we're finally launching our always-on, generative show -- Nothing, Forever -- streaming on Twitch. Nothing, Forever is a parody of '90s sitcoms, done in the style of '90s point-and-click PC games (but, you know, in 3D). We set out to build something weird, new, and novel, and this is what we ended up with. Aside from the artwork and the laugh track you'll hear, everything else is generative, including: dialogue, speech, direction (camera cuts, character focus, shot length, scene length, etc), character movement, and music. Nothing, Forever is built using a combination of machine learning, generative algorithms (we use 'generative' here in a non-academic sense), and cloud services. Our stack is mostly comprised of Python + TensorFlow for our ML models, TypeScript + Azure Functions and Heroku for our backend, and C# + Unity for the client, with some neural voice APIs thrown into the mix. Heading into the future, we plan to leverage OpenAI's davinci models for our dialogue -- we actually have an integration already, but the cost is too prohibitive to run full time -- as well as leveraging Stable Diffusion for art generation. We're launching an experimental media lab, https://www.mismatchmedia.com/ along with the show, for follow-up projects in the future. Feel free to reach out to me personally if you have any questions or want to discuss more, skyler at mismatchmedia dotcom.
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