Anthropic revealed that a series of underlying infrastructure issues recently caused intermittent errors and quality drops across its flagship AI models. Tech teams identified three distinct technical glitches affecting servers and routine pipelines. Addressing user concerns over potential system throttling, the company stated, “We never reduce model quality due to demand, time of day, or server load,” adding that “The problems our users reported were due to infrastructure bugs alone.” The first bug misrouted user requests to incorrect server configurations. A second configuration mistake caused output corruption, occasionally spitting out random foreign characters like Thai words in their English answers. A third compiler issue triggered unpredictable behavior, making troubleshooting tricky because “The same prompt might work perfectly on one request and fail on the next.” Engineers rolled back buggy software updates and reconfigured server routing logic, confirming all primary issues were resolved across platforms. To prevent repeat incidents, Anthropic expanded its automated testing procedures during updates, acknowledging, “We recognize users expect consistent quality from Claude and we maintain an extremely high bar,” and promising tighter verification safeguards for all future releases.