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Sangha Dhamma Engine: iPaaS for Action-Augmenting Institutional Intelligence on Social Graphs
Introducing the Sangha Dhamma Engine, a groundbreaking framework that models institutions as latent dynamical systems where beliefs, actions, and values evolve over social graphs. By combining hierarchical LLM reasoning, state-space action dynamics, and coherence-gated collective intelligence, SDE transforms how we approach institutional decision-making and governance.
Building an Adaptive Learning Ecosystem to Solve Bloom's 2 Sigma Problem
An exploration of how combining mastery learning, deep knowledge tracing, and adaptive AI can bridge educational gaps in India and deliver personalized learning experiences that match one-on-one tutoring effectiveness.
Consciousness and Contemporary Artificial Intelligence
Transformer-scale models now solve the functional 'easy problems' of consciousness. The next 15–20 years will test whether neuromorphic, recurrent, and self-modeling systems can satisfy theory-grounded metrics of experience.