Google has quietly removed the ability for enterprise developers to see the reasoning traces behind its Gemini AI model's outputs—basically making it harder to understand why the model makes certain decisions. This move has sparked frustration among developers who rely on that transparency to troubleshoot and refine their applications, with some calling it "debugging blind." The debate highlights the tension between the convenience of powerful AI models and the need for clarity in how they operate.

Editor’s Note: When companies like Google make AI models less transparent, it’s not just a technical issue—it affects businesses that depend on these tools to build reliable products. If developers can’t peek under the hood, fixing errors or biases becomes a guessing game. This story matters because it’s part of a bigger conversation: Should cutting-edge AI stay a black box, or do users deserve to know how it works?