Livepeer Launches Agent-Ready APIs for Transcription and Vision

Livepeer profiles Mike Zupper, a builder who has worked at the forefront of the internet age. The spotlight explores his career journey and contributions to web infrastructure. **Key Points:** - Mike Zupper featured in Livepeer's builder spotlight series - Profile covers his experience at the frontier of internet development - Highlights his role in shaping open video infrastructure [Read the full profile](https://livepeer.org/blog/builder-spotlight-mike-zupper)

**BlueClaw**, an OpenAI-compatible platform, has processed over **1 billion work units** on Livepeer's distributed GPU network. - Built by Mike as an alternative to OpenAI's pricing model - Runs on Livepeer's decentralized GPU infrastructure - Offers **no rate limits** for AI job processing - Provides OpenAI compatibility for easy migration The platform demonstrates growing demand for decentralized AI compute alternatives. By leveraging distributed GPU resources, BlueClaw enables users to run AI workloads without the constraints of centralized providers. This milestone shows real traction for web3-native AI infrastructure solutions.

**DaydreamLiveAI** released **Scope v0.2.5**, a 7-node workflow that generates real-time agent avatars with natural gestures, eye movement, and facial expressions. **Key features:** - Combines LTX Studio's LTX 2.3 model (rare open-weights model) - Joint audio-video generation from single prompt - Face-front avatar LoRAs trained on close-up footage - Natural lip sync, eye motion, and microexpressions - Runs on single GPU **Performance improvements:** - Skips CPU offload on high-VRAM GPUs - Faster generation speed vs. previous flat talking faces The workflow addresses a common limitation where image-to-agent avatars typically appear as static talking heads, instead delivering dynamic, responsive avatars that react to their own lighting. [View announcement](https://x.com/DaydreamLiveAI/status/2055269758891630799?s=20)

Livepeer has launched real-time AI video processing capabilities, offering significant cost savings of 50-80% compared to traditional cloud services. **Key Features:** - Real-time video-to-video AI processing now available - Built on decentralized infrastructure - Open source and community-powered **Try It Now:** Users can test the technology through [Daydream Live](https://daydream.live), an application built on Livepeer's infrastructure that demonstrates real-time video AI capabilities. The launch represents a practical application of decentralized video infrastructure, making AI video processing more accessible through lower costs while maintaining real-time performance.

The **Lisar team** has completed key development milestones ahead of their public launch: - ✅ **Closed beta testing** - Full lifecycle review completed - ✅ **Live Transparency Dashboard** - Real-time community visibility now active The team is now preparing for **public launch mode**, marking a significant step forward for the project. This progress demonstrates steady development momentum as Lisar moves closer to broader availability.