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Published Sep 14, 2023

No Priors Ep. 32 | With NEAR’s Illia Polosukhin

Illia Polosukhin delves into the transformative potential of AI in reshaping businesses and architectural designs through the integration of AI agents and transformer models, while also exploring the intersection of Web3 and AI technologies in decentralization, along with the challenges of aligning AI and blockchain to revolutionize identity systems and data labeling.
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  • Integration Issues

    Integrating AI with blockchain presents unique challenges, particularly in terms of hardware and alignment. highlights the difficulty of repurposing GPUs from crypto mining for AI training due to their outdated specifications. He notes that decentralized training is hindered by bandwidth limitations, although inference offers more potential 1. Illia also argues that AI alignment issues stem from human problems, suggesting that society needs to develop systems to handle misinformation at scale 2.

    We need human alignment instead of AI alignment. All the problems that exist, they all exist because of humans doing things and they've existed before.

    He emphasizes the importance of cryptography and reputation systems in addressing these challenges.

       

    Identity Systems

    Blockchain technology offers promising solutions for identity and reputation systems, crucial for AI interactions. Illia explains that blockchain can authenticate content and establish trust through on-chain identities, which consolidate interactions and reputation across platforms 3. He describes how wallets have become a form of identity, but emphasizes the need for more user-friendly models 4.

    On-chain identity becomes your coalescence of all of the content and all of the interactions that you do.

    This approach could revolutionize how identity is managed online, making it easier and more secure for users to interact with AI systems.

       

    Data Labeling

    Decentralized data labeling could transform AI development by offering scalable and efficient solutions. Illia advocates for a web3 marketplace model that allows global participation, providing both flexibility and protection for data labelers 5. He points out that this model can overcome the limitations of centralized services, which often struggle with domain-specific knowledge and quality control 6.

    A web3 marketplace is a more effective way to do this, and it kind of provides few interesting benefits.

    By leveraging blockchain, decentralized data labeling can enhance quality and accessibility, benefiting both task providers and workers.

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