Human Creativity in the Age of LLMs Randomized Experiments on Divergent and Convergent Thinking "Our findings reveal that while LLM assistance can provide short-term boosts in creativity during assisted tasks, it may inadvertently hinder independent creative performance when users work without assistance, raising concerns about the long-term impact on human creativity and cognition." by @1harsh_kumar J. Vincentius, E. Jordan, @ashton1anderson 📖 arxiv.org/pdf/2410.03703

As AI becomes an active participant in our cognitive lives, the line between thought partner and substitute is becoming harder to maintain. time.com/article/2026/04/30/…

✨New paper alert Does AI help or harm critical thinking? It’s one of the most pressing questions around AI. But maybe the better question is: under what conditions? In our #CHI2026 paper, we find that time can change everything. 🌐 criticalthinking-ai.app/ #AI #criticalthinking #humancognition #decisionmaking #civicparticipation (1/10)

🚨🚨 Excited to share our first *positive* results on AI in education! Most AI tutor work focuses on making the chatbot better. We suggest another lever: deciding what students should practice next to improve learning. We combine an LLM tutor with reinforcement learning to personalize problem sequencing using signals from student-chatbot interactions and solution attempts. We tested this in a 5-month randomized field experiment in a Python course across 10 high schools in Taipei. All students had the same course material and the same AI tutor. The only difference was adaptive vs. fixed problem sequencing. Result: across 770 students, adaptive sequencing improved performance on an in-person final exam taken without AI assistance by 0.15 SD, with larger effects for beginners. Our evidence suggests the gains came from stronger engagement and more productive AI use.

Lack of diversity in your LLM generation? (also noted by Artificial Hivemind, best paper @NeurIPSConf) Time to bring your base model back! An inference-time, token-level collaboration between a base and an aligned model can optimize and control diversity and quality!