Since our last update, we have been diligently working toward achieving our 

 as part of Phase 2 in Livepeer's AI journey. With most of our objectives now completed (a detailed retrospective is on the way), we are in the final stages of delivering the remaining items and reviewing outstanding pull requests. As we complete these final pieces, we are confident that the AI network has reached a strong, stable foundation for builders and end-users alike.

In recognition of this progress, the AI subnet has officially been renamed to the 

 🎉, marking its transition from alpha to beta. We’re also excited to announce that the 

, and the broader community 🤝. Their expertise in distributed systems and commitment to open-source development, as demonstrated in their work on the transcoding network, will play a pivotal role in further shaping the AI roadmap and driving even greater innovation. Expect to see exciting new developments as we collaborate with our community to advance our mission of democratizing AI and building a globally accessible, open AI video infrastructure 🚀.

Here’s a quick recap of the key accomplishments since the last update:

 and, in the process, enhanced our container workflow to enable seamless, permissionless pipeline integration through custom containers in the future. Since its release, this pipeline has generated over $10K in fees and processed more than 400K requests in just one week, as highlighted on the 

—showcasing the immense potential of the 

 for their crucial role in driving demand by collaborating with startups to make this pipeline a success.

, allowing users to apply fine-tuned models to any 

 requests. This unlocks a new realm of creative possibilities (see banner image). With our automatic LoRA loading mechanism, orchestrators can now seamlessly handle thousands of LoRAs without manual configuration ⚡.

We’re thrilled to announce the release of 

, streamlining the developer experience and making it easier than ever to interact with the Livepeer network 🛠️. Developed in collaboration with the 

 team, these SDKs are crafted to provide a smooth, modern interface that aligns with industry best practices.

, providing more precise control over spending. Additionally, the new 

 flag has been implemented to extend the discovery timeout when searching for orchestrators, enabling the use of a larger pool of resources for AI jobs.

We’ve completely overhauled error handling on the AI subnet. Instead of vague internal server errors, users now receive clear, descriptive messages that make troubleshooting easier and more transparent. Additionally, we’ve revamped our documentation to include the new SDKs and improved pipeline parameter descriptions, further streamlining the developer experience.

 flag, now enabled by default, to prevent gateways from accepting prices above the set maximum.

- Fixed a runtime error that occurred when AI orchestrators failed to set a price.

 pricing now accounts for the number of images.

Livepeer AI (SPE) changelog

Segment Anything 2, LoRa Integration, and New SDKs