Livepeer and Fluence Founders Discuss Decentralized Video and AI Compute

**Three major AI developments** are reshaping video production workflows: **Topaz Video AI 7.2 Beta** launched with improved batch processing, quality upscaling, and enhanced timeline UI. The update delivers speed improvements for creators and studios working with video enhancement. **Alibaba's Qwen model** now powers multi-language transcription tools, expanding accessibility for broadcasters and streaming platforms globally. This advancement improves content repurposing across different markets. **AI script editing** gains momentum as tools like Microsoft Copilot become standard for video teams. Automated editing allows creators to polish narration and voiceovers quickly at scale. These tools represent practical applications of AI in video production, moving beyond experimental features to production-ready solutions that address real workflow challenges.

Livepeer is launching a new content series exploring the evolution of video technology from radio tubes to modern AI applications. The series will examine: - The historical development of video technology - How video has shaped human connection - **Livepeer's role** in the next chapter of video infrastructure The first episode is scheduled to release later this week. This follows Livepeer's recent focus on real-time AI video pipelines through their Cascade phase, positioning the platform as a leader in decentralized video infrastructure.

**Daydream**, a new open-source platform for real-time video-to-video AI transformations, has launched on Livepeer's decentralized infrastructure. The platform enables real-time AI video processing and is now live at [daydream.live](https://daydream.live). Key features: - Community-powered development - Open source architecture - Built on Livepeer's decentralized network - Real-time video AI capabilities Livepeer is supporting this initiative through delegator workshops and network infrastructure support. *Try the early preview to explore real-time AI video transformations.*

Peter from AI SPE discusses the evolution of real-time AI video on Livepeer in the latest Fireside episode. Key developments include: - Transition to Bring Your Own Container (BYOC) architecture - Introduction of ComfyStream for customizable AI pipelines - New community-driven development approach This follows recent episodes featuring UFO's decentralized radio integration and earlier discussions with Streamplace, ORIGIN STRIES, and Eliza agents about AI-powered video innovations. [Watch the full episode](https://youtu.be/wFSs8kfvsYA)

Livepeer cofounder Doug Petkanics outlines the network's expansion into real-time AI video processing. The initiative promises to enable live video manipulation as simple as typing ChatGPT prompts. Key developments: - Network aims to provide ultra-low latency, heavy compute, and global reach - New features include AI VTubers, interactive livestreams, and real-time translation - Daydream platform launches as proof-of-concept - Treasury funding supports development of new applications The network expects significant increase in usage fees for node operators and delegators through AI video processing capabilities. [Try Daydream](https://daydream.live/) [Read Full Article](https://blog.livepeer.org/daydream-live-a-glimpse-into-the-future-of-realtime-ai-video-on-livepeer/)