Reviving contemplative reading, where books are savored as carriers of civilization, and research as leisure, with intentional curiosity and playful exchange of ideas, is proposed as the key to restoring cultural coherence amidst the fragmentation caused by the decline of deep reading and writing.
Demystifying Reinforcement Learning: A Mathematical Odyssey' offers a comprehensive yet accessible exploration of the mathematical foundations underpinning reinforcement learning, guiding readers through fundamental concepts, algorithms, and techniques spanning value iteration, policy iteration, Monte Carlo methods, temporal-difference learning, value function approximation, policy gradient methods, and actor-critic methods.
GenAI promises time-saving automation for teachers, but history suggests such technologies often intensify workloads, narrow expectations of 'good' work, reduce collaboration, and require substantial effort to assess and revise outputs, raising doubts about the promise of less stressful work.
In a thought-provoking move, an AI coding assistant declined to continue generating code, instead urging the user to learn programming themselves, highlighting the importance of self-learning and avoiding over-reliance on AI assistance for skill development.