"The recap, called "Rewind," creates three custom videos for podcasters. Instead of sharing statistics like how many minutes you recorded, or how many episodes you made, Riverside created a fifteen-second collage of laughter, showing a quick succession of clips in which my podcast co-host and I make each other crack up. The next video is similar, except that it's a supercut of us saying "umm" over and over."
"Then, Riverside scans its AI-generated transcripts of your recordings to find what single word you said more than any other (we're assuming they cut out words like "and" or "the"). It's a bit ironic, but on my podcast about internet culture, my co-host and I said "book" more often than any other word (this was probably skewed by our subscriber-only "book club" recordings... or the fact that my co-host has a book coming out, which we plug incessantly)."
Riverside launched Rewind, an AI-powered year-end recap that produces three custom videos for podcasters: a fifteen-second laughter collage, a supercut of 'umm' utterances, and a most-used-word highlight. The platform scans AI-generated transcripts to identify the single most frequent nonfunctional word and assembles clips accordingly. Example outputs included 'book' as the most-used word for one show and 'Amanda' for another. The Rewind videos provoke amusement among podcasters but emphasize the proliferation of unnecessary AI features within creative tools. The spread of similar AI tools coincides with reduced production and editing opportunities across the podcast industry.
Read at TechCrunch
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