Precision Laziness in AI: Slashing 23% Computational Costs Through Adaptive Reasoning

OThink-R1: Teaching AI to “Think Lazy” – Cutting 23% Computational Effort Imagine this: When asked “What’s 1+1?”, would you derive calculus formulas? New research reveals AI often does exactly that. Discover the breakthrough tech enabling precision laziness in AI—slashing computational costs by 23% while boosting accuracy! The Human Cognition Blueprint Recall Daniel Kahneman’s Thinking, Fast and Slow? Our brains operate in two modes: Fast Thinking: Instant answers like “2+3=5” Slow Thinking: Deliberate reasoning for complex tasks (e.g., compound interest calculations) Fascinatingly, AI now mirrors this duality: graph LR Traditional_AI[Traditional LLMs] –>|Intuitive answers| A(Human-like Fast Thinking) Reasoning_AI[Advanced LRMs] –>|Step-by-step derivations| B(Human-like …