According to DeepLearning.AI, researchers from Mila, Microsoft, and academic institutions have introduced Delethink, a reinforcement learning technique designed to enhance language models by periodically truncating their chains of thought. This method enables large language models to significantly reduce computation costs during long-context reasoning while improving overall performance. Notably, Delethink achieves these improvements without requiring any architectural changes to existing models, making it a practical solution for enterprise AI deployments and applications handling extensive textual data. The research, summarized in The Batch, highlights the approach's potential to optimize resource usage and accelerate AI adoption for long-form content generation and analysis (source: @DeepLearningAI, Jan 17, 2026).