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This essay by eieio.games examines how LLMs have eroded the ability to gauge human effort in creative and technical work, affecting how we evaluate quality and leading to new challenges in open source and online projects.
A software engineer discusses the etiquette of sharing AI-generated content with teammates, proposing the principle that if you request human attention, you should demonstrate human effort by adding your own commentary.
This paper tests whether varying inference-time reasoning effort affects the alignment between large reasoning models' chain-of-thought lengths and human reaction times. Results show alignment is invariant to effort perturbations, suggesting it is a training-time achievement.
This paper introduces engagement forecasting for intelligent tutoring systems, predicting weekly minutes practiced and new skills mastered using interaction logs from 425 middle-school students. Feature-based models reduce error by 22-33% over heuristic baselines, offering explainable patterns for tutor-learner goal setting.
Andrej Karpathy discusses the difference between entertainment disguised as education and genuine learning, arguing that real learning requires effort akin to a workout, not snacking on short, fun content.