Gensyn: The Deep Learning Compute Protocol
Artificial Intelligence is a fascinating field that has made tremendous development over the past few years. From GPT-3 to Dall-e and Stable Diffusion, the vastness of the scope of applications for AI and neural computing is becoming clearer than ever. At the base layer, there is a need for decentralized p2p AI compute platform that provides flexible access to the wider public. Gensyn sets out on the mission to provide just that by building a market place protocol for AI compute - ultra-low cost, hyperscale, permissionless.
In today’s episode we are joined by the project's co-founders Ben Fielding and Harry Grieve. We take a deep dive into the current landscape for AI and AI compute, the reasonings and trade-offs in building Gensyn, the protocol’s focus and edge cases, and how the protocol is utilizing the blockchain technology as both incentive layer and credibly neutral platform.
Topics:
- The founders' background and reasonings for development on Blockchain
- The current state of AI development and breakdown of AI concepts
- The current landscape for AI modeling and compute
- Gensyn's difference to other protocols, such as Golem
- How Gensyn is adhering to the decentralized default, and making trade-offs in product building
- Building Gensyn as a Layer-1 protocol
- Deep dive into the Gensyn Protocol and edge cases
- Other players in the protocol: solvers, verifiers, and whistle blowers
- Building a blockchain