Imagine a job where you have to review dozens of complex documents, searching not just for typos, but for intentionally hidden errors. Previously, this was a task for experienced analysts, requiring hours, if not days. Now, OpenAI's new GPT-6 Astra model has demonstrated that AI is capable of handling such tasks. During testing conducted by Legora, Astra analyzed 41 financial documents in just a few minutes. This is not just about speed – it's about the ability to find all four intentionally embedded errors. This is a critically important function, especially in cybersecurity, where vulnerability detection requires a deep understanding of context and critical thinking, previously only available to humans. The successful completion of this task has increased the productivity of the financial workflow by almost 40%. What does this mean for the average person? This is not just another upgrade. It's a signal that AI is beginning to perform tasks that require not only information processing but also critical evaluation, opening new horizons for the automation of complex analytical processes. OpenAI itself emphasizes the significance of this breakthrough, classifying Astra's capabilities as having reached a "critical cybersecurity threshold." This status, confirmed by the company's implementation of enhanced security measures and a temporary pause on further work on the model, indicates that Astra has reached a new, tangible level of functionality. While the consequences of this breakthrough remain unclear, the very demonstration of such capabilities opens a new chapter in the development of artificial intelligence, where machines are beginning to perform tasks that require not only information processing but also critical evaluation, bringing us closer to an era of more autonomous and capable AI agents.