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Emerging narratives and trends about L2 scaling in crypto and AI indicate skepticism from researchers regarding the utility of blockchain in AI, with studies from top universities suggesting limited practical applications. However, there is a growing demand for AI-driven optical network architectures to support large-scale AI deployments, necessitating diverse technological choices based on infrastructure constraints. Additionally, while some AI promoters assert exponential growth, leading researchers caution against scaling limits in deep learning, questioning the sustainability of such claims.
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Emerging narratives and trends about L2 scaling in crypto and AI indicate skepticism from researchers regarding the utility of blockchain in AI, with studies from top universities suggesting limited practical applications. However, there is a growing demand for AI-driven optical network architectures to support large-scale AI deployments, necessitating diverse technological choices based on infrastructure constraints. Additionally, while some AI promoters assert exponential growth, leading researchers caution against scaling limits in deep learning, questioning the sustainability of such claims.
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