In which ways do LLMs make mistakes?
After a year of heavy agent use, one builder asks how LLM mistakes differ from human ones. The useful framing: humans fail from distraction or missing knowledge; models fail from confident confabulation, mid-task constraint drift, and never saying I do not know. The practical fix is reviewing agent output like a skeptical editor.