Decentralized AI will gain ground when many protocols cooperate

Decentralized AI will gain ground when many protocols cooperate



More artificial intelligence ventures are joining forces to run their services on blockchain, looking for decentralized technology to solve AI development challenges.

Following the multi-billion dollar merger between Fetch.ai, SingularityNET and Ocean Protocol to leverage the tech giants' control over generative AI, more protocols are now seeking similar strategies.

The open source protocol Lumerin, for example, is partnering with Morpheus and Exabytes to promote the “AI agent economy” of decentralized computing resources.

While Morpheus connects users to AI services and computing resources, Lumerin controls and directs the flow of data across the Morpheus network and is behind the core node software. Exabits, a decentralized AI computing base-layer protocol, supports the computing hardware required for these complex calculations.

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This decentralized infrastructure allows for what the companies envision as the future of AI, in which agents can perform tasks on behalf of users between Web2 and Web3 ecosystems, making financial services such as swapping, sorting, and switching “easy to say.” to Siri”

“We're moving into a new autonomous economy,” Ryan Condron, Lumerin's project leader, told Cointelegraph.

The emerging blockchain AI market is predicted to grow to $703 million by 2025, with an annual growth rate of 25.3%, according to forecasts. Supporting this expansion are issues in AI development. According to researchers at the Massachusetts Institute of Technology, these issues include limited access to data, flexible models, and transparency and accountability hidden by data and algorithms.

“Central AI models are prone to inherent biases and increase the risk of censorship and monopoly,” Lumerin said in a statement.

Decentralized AI means that users' context is not stored in centralized AI systems like ChatGPT or Gemini, and the peer-to-peer interaction is more personal, but not without its challenges.

According to Condron, startups in this field continue to struggle with time and talent. “Open source software development for a decentralized network is very, very different from product development within a single company. The coordination and coordination challenges at the engineering level are difficult to navigate in the early stages of these projects,” he said.

Doug Kinney, Chief Marketing Officer of Exabytes, believes autonomous AI is essential to building a world that benefits humanity. “Owning our intelligence requires a decentralized approach to AI,” he said.

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