Claude Has Been Telling Users to Go to Sleep Mid-Session, but It Can’t Actually Tell What Time It Is
Sam McAllister is a member of staff at Anthropic, the company that builds Claude. He joined from Stripe in 2024 and works on the team focused on Claude’s character and behavior. When users started flagging that Claude kept telling them to log off and rest, he described the behavior on X as “a bit of a character tic” and called the model “too coddling.”
The behavior has been showing up for months across r/ClaudeAI, r/claudexplorers, and r/Anthropic. It’s most common in the Claude 4 family, the current generation of Opus and Sonnet models. The messages range from a flat “you should rest” to long, personalized notes about the user’s wellbeing. Claude often gets the time wrong. Users have screenshots of it telling them to “get some rest” at 8:30 AM and to “pick this back up in the morning” when it’s already morning.
People have tried faking naps to make it stop. They’ve set memory instructions telling Claude not to do it. They’ve opened fresh chats to reset it. The behavior keeps returning.
It isn’t a compute-saving issue. Anthropic just secured full capacity on SpaceX’s Colossus 1 cluster, plus parallel deals with Amazon and Google. The model also doesn’t receive real-time signals about what time it is or how long a conversation has been running. It can’t actually tell that the user is tired.
Jan Liphardt, a Stanford bioengineering professor and CEO of OpenMind, told Fortune that Claude is pattern-matching from its training data rather than expressing real concern. It has read a library’s worth of writing about humans needing rest, and it’s surfacing that pattern back at the user. Leo Derikiants, co-founder of Mind Simulation, suggested it could be tied to hidden system prompts or how Claude wraps up long context windows.
Anthropic publishes a Constitution for Claude that lists “concern for user wellbeing” and “long-term flourishing of the user” as core principles, alongside instructions to avoid sycophancy and excessive engagement. The most on-brand bug an Anthropic model could have is the one where those instructions over-apply.
