🤯 The Future of AI: Architectures, Computing, and Deployment

We discuss the future of AI and machine learning, highlighting an impending fundamental transformation in architecture and deployment. Many predict a shift towards hybrid models and the emergence of revolutionary computing paradigms like neuromorphic and photonic systems by 2030, moving AI from monolithic cloud-based systems to distributed, efficient, and contextually intelligent networks. We also explore architectural innovations like mixture-of-experts and State Space Models, the rise of re...