Political Comedy Routine Generation

4/10 sections recovered · name · match catalog description · match catalog cover · match catalog links · match catalog

Generative AI tool based to convert news/topics to comedy routines based on current political comedy routines present.

ai-technologyeducation github.com/unna97/audio-annonation ↗ github.com/unna97/reclist ↗

Project details match catalog

About

I am making an AI tool that produces comedy routines for a given topics with news articles given. The first step would to produce analysis of the present political routines i.e topics they cover, demographic they appeal to, "funniness" of the jokes.

Impact

I hope to learn how to communicate interestingly as well as effectively especially with respect to politics.

Progress

I have created the annotation app and have some labelled data(although not public): https://github.com/unna97/audio-annonation

Team

I have been an ML engineer and data scientist for a few years now. I have also dabbled with generative AI technologies and have worked on open source ML libraries such as reclist (https://github.com/unna97/reclist).

Funding

No displayed figures preserved for this project.

Season totals as displayed on the platform's public accounting — not a statement of amounts paid out. V2 = Venus sales + Venus extras. The original page also broke each season down by fund drive and showed an Available (unclaimed) balance; that level of detail survives only on the preserved snapshots.

Leaderboard page (offline): https://artizen.fyi/projects/political-comedy-routine-generation
Wayback: leaderboard page ↗ · Wayback: platform page ↗

Not recovered: creator, tags, funding, drives, submissions, snapshot. Sources: "snapshot" = verbatim Internet Archive page · "platform metadata" = archived artizen.fund page metadata · "leaderboard" = the artizen.fyi public accounting tables · "match catalog" = the platform's public fund-matching catalog (captured 2026-10-15, generated 2026-09-07) · "community catalog" = a June 2026 platform scrape preserved in a community repo.