Navigating the Future of AI Open Models and Compute Power

Illia & Alex discuss the latest AI research topics and unpack some NEAR.AI focus areas

NEAR AI: [ Ссылка ]
Illia Polosukhin [ Ссылка ]
Alex Skidanov [ Ссылка ]

Bitte: [ Ссылка ]
Exabits: [ Ссылка ]

The intersection of decentralized AI, blockchain, and compute power with leading experts from Bitte Protocol and Exabits. Discover how open-source AI can counteract a Black Mirror-esque future, the role of Web3 in democratizing AI, and the potential for cross-chain interactions and agent marketplaces.

Takeaways:
• Decentralized AI as a Counterbalance: Open-source AI and blockchain technology can help prevent a centralized, dystopian future as depicted in Black Mirror.
• Importance of Compute Power: The future of AI hinges on access to compute power, making it a critical component of the value chain in AI development.
• Convergence of AI Models: As AI models scale, they may converge in functionality, suggesting that foundational models could become commoditized.
• Web3 and Public Good Funding: Web3 can offer innovative funding mechanisms for public good projects, including decentralized AI research and development.
• Security in Agent Marketplaces: Building secure and scalable agent marketplaces is crucial for enabling seamless, secure interactions across different blockchain environments.

Timestamps:
00:03:54 - Black Mirror Scenario: Discussing how decentralized AI and blockchain can prevent a dystopian future.
00:06:13 - AI Models and Centralization: The risks of AI being controlled by a small group of entities.
00:11:17 - Convergence of AI Models: Exploring the Platonic Representation Hypothesis and its implications for AI.
00:15:07 - NVIDIA's Role in AI: The significance of compute power and NVIDIA’s impact on the AI landscape.
00:19:18 - Public Good Funding and Web3: How Web3 can fund decentralized AI projects and research.
00:24:15 - Government Involvement in AI: Debating the role of governments in funding and controlling AI development.
00:28:01 - Chain Abstraction and Multi-Chain Interactions: How chain abstraction can simplify blockchain interactions for users.
00:37:16 - Consumer Applications for AI: Potential consumer applications that can integrate AI and blockchain technologies.
00:45:44 - Prompt Engineering and UI Generation: The future of prompt engineering and its role in AI interactions.
00:54:02 - Building Secure Agent Marketplaces: The importance of security in developing agent marketplaces for decentralized applications.
01:00:02 - Future of Decentralized AI: Final thoughts on the future of decentralized AI and the need for open-source solutions.

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