The Way forward for AI and Web3: Insights from RSS3 and NVIDIA Collaboration

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  • RSS3 joins the NVIDIA Inception Program to boost open AI infrastructure.
  • The collaboration goals to handle the challenges of integrating Web3 and AI.
  • RSS3 is growing infrastructure to ship Web3 native information for AI fashions.

Decentralized info platform RSS3 has joined NVIDIA's Startup Inception Program with the goal of accelerating the event of an open and verifiable AI coaching infrastructure. The partnership underscores the rising convergence of Web3 and AI, as the 2 industries look to leverage one another's strengths.

The platform's dual-layer infrastructure integrates the inducement layer and the info layer of the open net, and can profit from this superior know-how. Joshua Meng, founding father of RSS3, mentioned the partnership will propel the corporate into new horizons of actually open AI and the open net. He added that RSS3 goals to drive the transformation of the Web to serve a wider vary of customers.

The partnership between RSS3 and NVIDIA demonstrates progress in addressing the challenges and integrating Web3 and AI. Each industries are on the cusp of great progress, and establishing strong infrastructure and requirements is crucial to their future progress.

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On high of that, on July 17, RSS3 revealed an X publish specializing in the intersection of AI and Web3. The announcement highlighted that about $2 billion has been invested in Web3 and AI startups previously two years.

On this publish, we mentioned the significance of high-quality, structured information for AI fashions. GPT-4 and Steady Diffusion depend on in depth datasets, however the distributed nature of Web3 makes aggregating information complicated. To deal with these challenges, RSS3 is growing infrastructure to ship Web3 native information in an AI-ready format.

Historically, customers have offered huge quantities of knowledge with none direct profit to them. The convergence of Web3 and AI will deal with this difficulty by giving people management over and profit from their very own information, aiming to make sure the advantages of AI are distributed extra pretty.

Moreover, an environment friendly infrastructure that delivers real-time Web3 information is crucial for AI functions because it streamlines information entry and will increase the effectiveness of AI applied sciences.

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