Users have discovered that the Codex agentic model in ChatGPT demonstrates a high capacity for completing long-running computational tasks, continuing execution even when established current session limits are reached, which distinguishes it from Claude's behavior.
What Happened
During ChatGPT operation, it was noted that the Codex model is capable of bringing complex iterative processes to completion, such as complex code audits or running extensive unit tests using Ultra reasoning mode. Unlike competitors, the process does not stop halfway due to exhaustion of session limits or the context window.
Context
Traditionally, agentic models face the problem of work interruption upon reaching the software constraints of the current session. This creates risks of losing progress when performing multi-step tasks that require deep reasoning and long runtimes.
Why It Matters for the Industry
This observation confirms the high autonomy of agentic architectures, which is critical for the automation of DevOps and QA processes. The ability to ensure guaranteed completion could become a standard for industrial use of AI agents in CI/CD pipelines.
Why It Matters for Users
Developers can delegate heavy, resource-intensive tasks—such as full security audits or large-scale refactoring—to a new chat with maximum reasoning enabled, without fear that the process will be interrupted halfway. This allows the neural network to be used as a reliable autonomous agent for one-off but labor-intensive computational cycles.
What Is Not Yet Known / Limitations
Compliance experts point to potential risks related to violations of OpenAI's Terms of Service and the potential loss of control over the process when using such methods to bypass limitations.
Sources
Author
Look at AI, Editorial Team