The article reflects on the challenges of consuming content in an era dominated by AI-generated text. The author expresses frustration over a sense of sameness in the material they encounter, noting that AI's overuse of rhetorical devices has diluted their effectiveness. They argue that communication tools like metaphors and structured code are now so prevalent in AI writing that they no longer stand out, leading to a form of "signal degradation." This results in readers, including the author, becoming desensitized to critical cues that aid understanding. Verification of information has also become more difficult. In the past, generating content required significant effort, making verification easier to manage. Now, AI can produce plausible text almost instantly, but checking for accuracy still demands substantial human effort. This imbalance has made the author lazy about verifying information, often opting to regenerate content rather than critically assess it. They highlight the complexities of verifying AI-generated material, where subtle errors can easily go unnoticed, complicating the reader's ability to develop reliable mental models. The implications are significant. If consumers can't accurately assess the quality of content, they become vulnerable to manipulation and misinformation. This issue extends beyond high-stakes scenarios to everyday decisions, such as trusting restaurant recommendations or evaluating blog posts. The author emphasizes that a decline in the ability to discern quality erodes judgment and taste, making it harder for individuals to rely on the insights and recommendations of others. The piece ultimately raises concerns about the broader effects of AI on critical thinking and the ability to engage with complex ideas.