llm reliability

The tag 'llm reliability' covers the trustworthiness and dependability of large language models in real-world Windows and enterprise environments. Discussions highlight that LLMs are not human minds but brittle systems prone to unpredictable failures, as argued by Melanie Mitchell. Microsoft's DELEGATE-52 research shows that LLM agents silently corrupt documents during long editing workflows, even frontier models from major AI companies. The recurring theme is that while LLMs can assist with tasks like code, analysis, or help desks, they are not yet reliable delegates for critical operations. Users and administrators are cautioned against over-trusting these systems without safeguards.