[snarf_br]

Then don't read it.

With Gemini replacing Google search more and more people are blindly trusting those answers, so these stories are needed.

[Almondsetat]

Dismissing my observation with 'then don't read it' sidesteps the core issue. My point isn't about my personal reading habits, but about the low signal-to-noise ratio of this content genre. While you argue these stories are 'needed' because people blindly trust LLMs, especially with integrations like Gemini in search, these posts rarely offer more than the simplistic, already widely understood caution: 'don't blindly trust LLMs.' This is precisely the 'usual adage' I mentioned. The genre often lacks depth, failing to provide nuanced understanding or genuinely new information about why these systems fail in specific ways or how users can develop better critical assessment skills beyond mere distrust. If the goal is genuine education due to increased LLM exposure, the content needs to evolve beyond just showcasing errors.