1.1The Problem
Traditional AI systems face significant challenges:
1)Centralization: Dominated by a few tech giants, limiting innovation and accessibility.
2) High Costs: Training and deploying AI models require substantial computational resources.
3) Data Privacy Concerns: Centralized data storage raises risks of breaches and misuse.
4) Lack of Interoperability: AI models operate in silos, hindering collaboration and scalability
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