Apple: LLMs CANNOT Reason

Apple's recent research suggests that large language models (LLMs) can't truly reason but instead rely on pattern recognition from their training data. Tests showed that slight modifications in problem statements led to decreased performance, especially in smaller models. Larger models resisted these changes better but still showed some decline, indicating they mimic reasoning but don't fully understand the logic. An intriguing experiment revealed that LLMs can be misled by irrelevant information, exposing their limitations in logical thinking.