Research

600 articles found

MIT Researchers Develop New Method to Detect Overconfident AI Responses and Reduce Hallucinations

MIT Researchers Develop New Method to Detect Overconfident AI Responses and Reduce Hallucinations

Mar 22, 2026
MIT News | Massachusetts Institute of Technology

MIT researchers unveil a breakthrough uncertainty quantification method that detects overconfident AI responses by measuring disagreement across multiple similar LLMs, significantly reducing hallucinations and outperforming existing approaches across 10 tasks including math reasoning and question-answering.

Reinforcement Learning Environments for AI Agents Are Rapidly Evolving, With Smarter Verifiers and Cheaper Infrastructure Reshaping What Models Can Learn

Reinforcement Learning Environments for AI Agents Are Rapidly Evolving, With Smarter Verifiers and Cheaper Infrastructure Reshaping What Models Can Learn

Mar 21, 2026
Han, Not Solo

Reinforcement learning environments for AI agents are rapidly evolving, with smarter verifier designs, automated generation dropping costs to just $4 per environment, and emerging standards like Open Reward decoupling infrastructure from training — fundamentally reshaping what large language models can learn to do.

Anthropic Survey of 80,000 Claude Users Reveals Productivity Gains but Persistent Fears Over AI Accuracy

Anthropic Survey of 80,000 Claude Users Reveals Productivity Gains but Persistent Fears Over AI Accuracy

Mar 20, 2026
The Deep View

Anthropic's survey of 80,000 Claude users across 159 countries finds 32% report significant productivity gains, but 27% fear AI inaccuracy and hallucinations, exposing a growing gap between AI's promise and reality — with critics noting the optimistic findings may not reflect broader public skepticism toward the technology.

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