Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

MIT researchers have developed a reinforcement learning method, RLCR, that trains AI models to provide calibrated confidence estimates alongside answers, reducing overconfidence by up to 90% without ...

MIT's CSAIL team found that many reinforcement learning systems reward correct answers equally, regardless of reasoning quality, encouraging unjustified certainty. This training gap fosters ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...