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In a candid, sardonic conversation, Tony Parisi revisits VR’s long arc, skewers AI hype, and finds strange hope in the noise of generative culture gone gloriously wrong.

What if AI learned more like the human brain? Neural Generative Coding replaces backpropagation with local, brain-inspired learning for efficient, adaptive, data-smart intelligence.

Open digital public goods are quietly becoming the most powerful infrastructure for emerging nations — enabling identity, payments, and innovation without traditional roads or institutions.

CoALA reimagines LLMs as intelligent agents with memory, actions, and decision loops, enabling real-world interaction, learning from experience, and moving far beyond static chatbot capabilities.

AI agents no longer forget. EvoSC’s self-consolidation lets them learn from successes and failures, turning experience into lasting intuition — without memory overload.