On a recent Tuesday morning, users encountered difficulties accessing ChatGPT, Sora, and the API due to a temporary service disruption. This incident was acknowledged by the company on its status page, highlighting the challenges faced by users during this period.
The investigation into the issues began late Monday night, but the service disruption continued into Tuesday morning. By approximately 5:30 a.m. PT, the company identified the underlying problem and initiated efforts to resolve it.
However, around 8 a.m. PT, the company indicated that a complete restoration of services might take several more hours. This meant that users on the West Coast of the United States would face challenges accessing ChatGPT during their morning work hours.
We are currently experiencing increased error rates and latency across ChatGPT and the API. Our engineering team has pinpointed the root cause and is working diligently to rectify the situation.
For real-time updates, please refer to our status page.
— Company Update
While outages of ChatGPT are typically brief, the duration of this particular disruption was notably extended. Users were informed that they might encounter “increased errors and latency” while attempting to use the service.
When a tech news outlet attempted to access GPT-4o on Tuesday morning, the chatbot returned an error message stating, “Too many concurrent requests,” indicating the strain on the system.
**Image Credits:** Maxwell Zeff
This service disruption coincided with a series of announcements from the company. During Apple’s WWDC event on Monday, the tech giant revealed deeper integrations with the company’s AI models. Additionally, a spokesperson confirmed that the company has achieved an impressive $10 billion in annual recurring revenue. Earlier on Tuesday, the CEO announced a significant price reduction for developers accessing its AI reasoning models through the API.
The company has previously faced challenges in scaling its AI models to accommodate hundreds of millions of users, a necessity to fulfill its ambitious goals. The CEO has remarked that the company’s computing resources are currently under significant strain, indicating a growing demand for its AI models.
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