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Ben Fielding & Harry Grieve: Gensyn – The Deep Learning Compute Protocol

About this episode

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 covered in this episode:

  • 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

Episode links:

Sponsors:

  • Tally Ho: Tally Ho is a new wallet for Web3 and DeFi that sees the wallet as a public good. Think of it like a community-owned alternative to MetaMask. - https://epicenter.rocks/tallycash

This episode is hosted by Friederike Ernst. Show notes and listening options: epicenter.tv/471

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Ben Fielding & Harry Grieve: Gensyn – The Deep Learning Compute Protocol

Epicenter - Learn about Crypto, Blockchain, Ethereum, Bitcoin and Distributed Technologies

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