There's no point at which turning your brain off will work
danluu.com
Opinion — commentary, not a factual news event.
The article argues that people using LLMs while “turning off” their own judgment—treating outputs as if they automatically work—often get wrong or unusable results. It says that being a “meat proxy” only sort of works as of September 2026. As a result, the author concludes that high-value work still needs human QA/architecture and active supervision to handle out-of-distribution decisions and avoid issues like overfitting to tests or metrics.
Why it matters
The post claims people “turn off their brains” when using LLMs—assuming their code will work and then asking the model to fix it when it doesn’t. It warns that if models keep improving, companies could “just run LLMs in a loop” and potentially replace employees.
