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AI Can Grow, But We Must Collaborate: Fetch.ai CEO Humayun Sheikh

Last Updated May 11, 2024 9:12 AM
Teuta Franjkovic
Last Updated May 11, 2024 9:12 AM
By Teuta Franjkovic
Verified by Peter Henn

Key Takeaways

  • Fetch.ai CEO says collaboration is key for Artificial General Intelligence (AGI) development
  • Humayun Sheikh emphasizes the importance of decentralization in promoting a transparent AGI development process.
  • The ASI Alliance aims to accelerate the commercialization of AGI advancements.

The recent integration and collaboration between Fetch.ai, SingularityNET, and Ocean Protocol could be a step towards the creation artificial general intelligence (AGI).

CCN spoke with Humayun Sheikh, CEO of Fetch.ai. Sheikh has been a vocal advocate for the evolution of AI into AGI, emphasizing the importance of the ASI alliance in pushing the boundaries of AI research and application.

Decentralized AI Alliance Formed to Drive AGI Development: Fetch.ai CEO

The alliance  brings together three of the leading decentralized AI firms. They each contribute to AI development. The alliance shares a vision of a decentralized, collaborative, and ethically driven approach to AGI.

Fetch.ai is a decentralized platform that uses multi-agent systems to enhance AI applications. The company’s role within the alliance is crucial, because it propels the group towards creating a more autonomous and intelligent AI ecosystem.

CCN asked Sheikh about the main objective of developing artificial intelligence. He said there were three key things which could advance the development of AGI. They were:

  • Accelerating of the commercialization of R&D  to keep pace with advances in AI, AGI, and ASI.
  • Recognizing the role of computing power in the AI development of AI.
  • Using the relationship between data and computational power.

AI Alliance Targets Breakthroughs Beyond Large Language Models

Sheikh spoke about decentralization. He said it played a “crucial” role in promoting innovation and transparency within the development of artificial general intelligence (AGI).

He also claimed that the “inherent” transparency of decentralization, rooted in its open-source nature, helps ethical practices. Sheikh said it did this by allowing for public scrutiny and accountability. Additionally, a decentralized framework, according to Sheikh, enhanced systems’ robustness. As a result, this makes them more resilient to failures. It also supports scalability, which is essential as computational demands grow.

CCN also asked Sheikh could he elaborate on what this collaboration aimed to achieve. He explained that this collaboration was poised to surpass the current capabilities of large language models (LLMs). As a result, he claimed, this would lead to a new era of beneficial, decentralized AGI and ASI. He said: “By combining the strengths of each partner organization, we aim to create a more accessible, reliable, and user-centric AI ecosystem.”

He said:

“This technology enables the creation of a decentralized multi-agent platform for deploying AI applications, allowing developers to build and commercialize AI applications that interact with users through natural language. The ASI Alliance has established a robust governance structure to address ethical concerns in AGI/AI development. Central to this structure is a governing council that oversees the operations of the newly merged tokenomic network, ensuring transparency and accountability. “

Co-lab Seeks to Build Transparent, Secure, and Inclusive AI Future

Sheikh also highlighted that the collaboration signified a shift from centralized to decentralized AI development.

He explained: “By integrating our tokens and technologies into a cohesive platform, we are establishing a system that combines autonomous AI agents, a decentralized AI platform, and a secure data exchange protocol.”

Sheikh added:

“Regulatory compliance and ethical considerations are also at the forefront of our agenda. We’re committed to navigating the evolving regulatory landscape and upholding ethical AI practices. We’re also tackling the technical challenge of scaling decentralized AI technologies to meet global demand, while maintaining data privacy and security. Together, we see these goals not as challenges but as opportunities for us to demonstrate the strength of our collaborative approach and the transformative potential of decentralized AI.”

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