Adam Soffer

Network-as-product. A decentralized infrastructure like @Livepeer delivers a set of capabilities to video developers, but to do so it relies on a whole network of actors including node operators (orchestrators), token holding delegators, gateway service providers, tool builders, and more. They all coordinate around the actual protocol specification itself, and respond to the encoded economic incentives. The output of this coordinated group of individual actors is the network-as-a-product. But each stakeholder group also needs its own well defined and usable products in order to easily be able to interact with this complex system. I'm looking to hire a technical senior product manager, to work closely with me and our outstanding engineering team. They will help organize and shepherd the Livepeer network product suite. Experience and enthusiasm for operating on, and building against, decentralized networks required. livepeer.org/jobs/4502390

On today's @Livepeer Ecosystem Call we talked about the path to bring AI based video compute onto the GPU-rich network in the next 4 months. As is consistent with Livepeer's journey over the last 7 years, we'll work to show real, usable, functional, open source software and network capabilities before we do promotion that "Livepeer has this", but here is the short version of our plan to get there: 1. Select a specific initial use case for an additional job type, beyond just video transcoding: AI based Generative Video, supported by AI upscaling and frame interpolation. Great open models are evolving every day in this space. 2. Move quickly by building within a fork/spike of the node software to add these capabilities to both our orchestrator (supply side) node, and broadcaster (demand side) node. 3. Users running this spike will form a sort of sub-network on Livepeer, but they will use Livepeer protocol for discovery and payments to nodes running this new capability through Livepeer mainnet. 4. Work with a frontend consumer facing app to leverage Livepeer's highly cost effective open compute network, and to capture and showcase data that validates the cost effectiveness of Livepeer relative to public clouds. 5. After we validate this, merge into the core Livepeer clients, add additional job types, and grow the ecosystem around leveraging additional forms of AI based video compute. AI is one of the most important technologies of the decade. As it relates to video, it dramatically lowers the barriers for content creation and levels the playing field for individuals relative to high-end production houses. It's critical that there are open models and open infrastructures accessible to developers and startups, to avoid a future where the few big tech clouds control both the infra and access. It's going to take a lot of work from our whole ecosystem, but looking forward to running at this through the end of the year and into 2024.

I shared this post on many of the important technical opportunities that the @Livepeer project should focus on in the coming months and years. mirror.xyz/livepeer.eth/qmeE…