Chatgpt has become, for many, a tool as everyday as the browser itself. We consult it for a technical doubt, a word that escapes us, an idea that needs form. It is there, fast, efficient, constant. Until any Tuesday, like today, June 10, ceases to be. You open the app on your smartphone, the application on your PC or a tab, formulas the petition with the same naturalness always … And a red message appears: “Too many concur requires”.
The message has been the closed door that millions of users have found throughout the day. Since the early morning, the popular OpenAI tool has begun to present generalized failures. The page loaded, but when trying to send a consultation, the system remained inert or returned an error due to excessive applications. Some users with premium access could not generate images or use advanced functions. In a nutshell, Chatgpt had pause.
Openai has not issued any formal statement to explain the origin of the problem. The only track came from its official state page, where you could read: “We are currently experiencing problems.” Later, they have added that they were seeing “numerous error rates” and that the service “was recovering”, although they warned that the complete standardization of all services could take hours. The informative silence has been, in this case, as notorious as the interruption of the service.
Throughout the day, the status of the service has fluctuated. Some sources pointed to a partial recovery around 7:00 p.m., but without official confirmation that the system was completely restored. For many, experience has remained erratic: an access that returned at times, but that did not guarantee the usual operation. This intermittent behavior has evidenced the fragility that can be hidden behind an interface that usually seems infallible.
From a technical point of view, the error message – “too many simultaneous applications” – It suggests a bottleneck caused by a massive traffic beak or by a failure in the management of concurrent requests. In a system like Chatgpt’s, which operates on a large scale and depends on cloud infrastructure to execute real -time language models, an overload can cause cascade effects. The API, used by companies and developers, has also shown signs of instability, which indicates that the ruling is not limited exclusively to the chatbot.
This type of incidents puts an issue that is increasingly urgent: The growing dependence on these platforms. Chatgpt has gone from being an interesting experiment to becoming an intensive tool for students, professionals, developers, researchers. When it stops working, it is not just a nuisance: it is a real interruption in the workflows. The problem is not that it fails, but that, when it does, it leaves too much people without immediate alternatives.
And yet, this should also serve as a reminder. Artificial intelligence, however useful it becomes, remains an evolving technology, with technical and human limits. The more central your role in our tasks, greater will be the need for these services not only to be fast and powerful, but also reliable, explainable and, above all, transparent. Because deep down, trusting a machine is also to trust those who keep it active.
