"AI Models for Real-World Applications" @ClusterProtocol

The Spaces session focused on AI models and their real-world applications with experts from various companies discussing their innovative work in the field. Key participants included Alex Page from Nillian, Stephanie from EMC Foundation, Ash from Like AI, Zoe from Open Task AI, Rado from Quans AI, Gustav from Ceremonies AI, William Lee from AI Society, and a representative from Solder AI. Discussions covered AI's role in decentralized asset management, privacy-preserving personalized AI, expanding AI's context windows, future trends, and the crucial importance of cross-sector collaboration for development and success.

AI Models and Real-World Applications

Panel Introductions

Alex Page: Co-founder and CEO of Nillian, a decentralized network that uses cryptographic techniques for secure computations. Stephanie: BD at EMC Foundation, focused on decentralized computing power and their own AI-associated Layer 1 blockchain. Ash: CEO of Like AI with extensive experience in analytics for retail and institutional investors in the blockchain space. Zoe: COO of Open Task AI, connecting AI freelancers with businesses through blockchain integration and stablecoin payments. Rado: Head of Growth at Quans AI, offering decentralized asset management and sophisticated trading algorithms. Gustav: CTO of Ceremonies AI, focused on combating big tech monopolization and promoting decentralized AI. William Lee: CEO of AI Society, initially a metaverse project pivoting to deep tech with products like AI-integrated Mastercards and health-tracking smart rings. Speaker 10: Representing Solder AI, aims to increase context windows for LLMs, enhancing their memory and practical applications.

Discussion on Use of AI in Various Fields

Quans AI: Uses AI quant trading strategies to analyze market data and identify trading opportunities, offering sophisticated tools to retail investors. Nillian: Focuses on privacy-preserving AI models that allow secure and personalized data handling without exposing intimate details to centralized entities. AI Society: Building personalized AI assistants that move from generic data collection to more intimate interactions. Ceremonies AI: Working to protect AI from centralized control and monopolization while enhancing decentralized collaboration. Solder AI: Addresses the context window limitations in LLMs, providing extensive external memory to enhance AI capabilities.

Future Trends in AI

Personal AI Agents: Ash from Like AI envisions AI managing daily personal tasks, creating a seamless living experience. Regulation Impact: Speaker 10 highlights upcoming regulations and how decentralized AI protocols have an advantage in navigating these tight controls. Personalized AI: William Lee sees the future in personalized AI subscriptions and creative applications like AI-generated media. Balance Between Innovation and Attention: Gustav emphasizes the need for active, engaged consumption over passive attention-driven models promoted by big tech.

Importance of Collaboration in AI Development

Cross-Sector Collaboration: Rado from Quans AI highlights collaborations with academia and industry to advance their AI models and educational programs. Web3 Community Support: Ash lauds the collaborative nature of the Web3 community in fostering innovation and partnerships among different builders. Industry Examples: William Lee mentions their collaboration with The Sandbox as a key partnership for advancing their AI projects.