The Plausibility Gap: Why LLMs Prioritize Syntax Over Logical Correctness
Recent analysis from KatanaQuant highlights a critical limitation in AI-assisted development: Large Language Models are optimized for probabilistic plausibility rather than logical correctness. This distinction challenges the reliability of autonomous coding agents and necessitates new verification frameworks.