Topic: Bloomberg

4 chapters across the catalog

Episode 259: SlopJacked
0:00 - 5:17

Episode 259: SlopJacked

Podcasting 2.0 Episode 259, AI Robot for Audio Editing

Adam Curry and Dave Jones open episode 259 of Podcasting 2.0 from Texas and Alabama. A custom AI robot now handles audio clip extraction and editing tasks, utilizing FFmpeg for normalization and Whisper via Together AI for frame-level transcription. This automation has replaced traditional editing software for the production workflow, allowing for rapid summarization of long-form content like congressional testimony.

Episode 259: SlopJacked
5:17 - 9:57

Episode 259: SlopJacked

Bloomberg Report on Pod Slop, RSS.com AI Disclosure Tags

A Bloomberg article by Ashley Carmen details the rise of "Pod Slop," referring to the flood of AI-generated podcasts on listening platforms. Alberto Bettella from RSS.com discusses the implementation of voluntary AI disclosure tags for podcast feeds. While disclosure is currently voluntary, failure to label AI-generated content could eventually lead to platform removals if it breaches terms of service regarding curation and transparency.

Episode 259: SlopJacked
30:50 - 36:21

Episode 259: SlopJacked

GitHub AI Pull Request Onslaught, Slop Apocalypse

GitHub has experienced a 14-fold increase in commits due to AI agents, mirroring the "slop apocalypse" seen in podcasting. The creator of the Pi AI coding agent now automatically closes all pull requests unless the user is on a pre-approved whitelist to manage the volume. This automated onslaught forces human maintainers to discard potentially good contributions because they lack the time to review the massive influx of AI-generated code.

Episode 259: SlopJacked
56:32 - 1:00:46

Episode 259: SlopJacked

Financial Incentives, AI Model Core Knowledge

During an interview with Bloomberg's Ashley Carmen, the lack of a financial incentive for the Podcast Index was a point of skepticism. Meanwhile, testing with the Quinn 3.6 AI model revealed that the No Agenda show is already part of the model's core knowledge base for "good podcasts." The hosts emphasize that their goal is to provide anonymized, valuable data to the industry without monetizing user information.