There's no point at which turning your brain off will work

Dan Luu notes a growing trend of developers blindly trusting LLM outputs and acting as a 'meat proxy' in a loop. By September 2026, this brain-off approach can produce barely functional software, but Luu argues that if LLMs get good enough to work unsupervised, companies will just run the loop themselves and lay off the human. He shares concrete failures, including an AI bot weaker than a simple heuristic bot and a commercial product trapping users in an infinite loop. Luke Burton adds that high-value tasks still require constant supervision due to too many unknown unknowns.

Why it matters: Dan Luu coins 'meat proxy' to name the core tension in AI coding: the better models get, the more replaceable brain-off devs become. Sharp take with a Sept 2026 timestamp, but lacks hard data — 78.