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MagnetAI is about to merge AI and web3 applied sciences with its new answer, ModelFi, amid rising world curiosity.
Synthetic intelligence (AI) and web3 have been turning heads currently, capturing immense curiosity worldwide. MagnetAI desires to harness the facility of those two applied sciences and fuse them to create a novel answer referred to as ModelFi.
Earlier than we look at ModelFi intimately, let’s contemplate the challenges that prompted MagnetAI to develop this new distinctive answer.
Challenges within the AI business
Virtually all AI tasks undergo a three-phase improvement stage referred to as the AI economic system lifecycle: the inspiration part, enlargement part, and revenue part. By way of every stage, the AI business faces three fundamental challenges, which the workforce at MagnetAI recognized. These challenges are widespread to everybody launching within the business, regardless of the mission they’re constructing.
The primary problem is the battle to safe funding. AI tasks usually include a heavy price ticket, and the vast majority of AI creators battle to safe funding, which considerably impedes their progress. Competing head-on with giants like Google, Microsoft, and Meta would require a number of capital.
The opposite problem is consumer participation and possession. Many customers can’t actively take part in AI merchandise or share their possession. Whereas most tasks enable customers to enhance their consumer expertise, they don’t take part within the AI mannequin design, its options, or functionalities. This results in a disconnect between customers and the mission. It underscores the absence of a shared economic system within the AI sector, the place customers may each contribute to and profit from the AI merchandise they use.
There may be additionally an absence of a unified platform that connects AI creators with mainstream customers, permitting for possession buying and selling, mannequin tokenization, chat-to-earn options, and extra.
Addressing AI challenges utilizing ModelFi
The MagnetAI workforce has been on the forefront of AI innovation for over eight years. The corporate’s product, ModelFi Protocol, is a testomony to its ardour for fusing AI with web3 expertise. ModelFi is a user-centric AI and web3 protocol that gives a brand new AI economic system framework.
The corporate believes leveraging web3’s distinctive options to optimize the AI economic system lifecycle can maintain AI open whereas swiftly attaining consensus and progress. MagnetAI has developed methods to deal with challenges AI creators face at every stage of the AI economic system lifecycle, built-in right into a three-product matrix referred to as MagnetAI Trinity. Mannequin Retailer, Mannequin Economic system, and Mannequin Community type the three spokes of the MagnetAI Trinity.
Mannequin retailer
The Mannequin Retailer is a decentralized AI market. It connects totally different key gamers, together with agent creators, AI builders, and mainstream customers. The shop could have totally different options like PricePerMessage, Income Sharing, Chat2Earn, and Follow2Earn.
Creators can effortlessly deploy AI companies verified on the blockchain and attain hundreds of thousands of customers through the Mannequin Retailer. They’ll generate income from subscribed customers and capitalize on the longer term worth of AI Fashions inside the Mannequin Economic system. Customers can discover and work together with a variety of various AI Brokers through a straightforward to navigate interface.
Mannequin economic system
This platform serves as a platform for AI creators to tokenize their fashions, brokers, or bots, serving to them to safe funding and incentivizing customers. By tokenizing their tasks, creators allow contributors to share possession and profit from income sharing, governance rights, and different possession benefits. This method facilitates fast funding and permits stakeholders to capitalize on the longer term worth of those AI tasks.
Mannequin community
This framework integrates various GPU sources, together with conventional Web2 clouds, Web3 GPU sharing platforms, and particular person GPUs, right into a unified system. By combining these sources throughout Mannequin SubNets, it optimizes useful resource utilization and maximizes income potential for tasks. This sturdy infrastructure helps MagnetAI’s basis and permits companies to learn from the ModelFi ecosystem.
Conclusion
MagnetAI’ mission enhances openness within the AI business and harnesses the efficiency of web3 and AI to develop AI tasks. The long-term purpose of MagnetAI is to create a platform that permits AI creators and mainstream customers to learn from the brand new AI economic system lifecycle whereas leveraging the openness, transparency, and trustlessness of web3. This method ensures that AI stays open-source and develops beneath world oversight, fostering a repeatedly thriving and rising AI ecosystem.
For additional details about MagnetAI, go to the official web site or be part of the Telegram neighborhood.
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