Lately, there’s been a growing sentiment in the developer community: "Is it just me, or are AI models getting worse?" Wh...

Lately, there’s been a growing sentiment in the developer community: "Is it just me, or are AI models getting worse?" Whether you are using Gemini, ChatGPT, or other LLMs, you’ve probably experienced moments where a model suddenly fails at a task it used to handle with ease.Let's look into the technical and psychological reasons behind why AI sometimes feels like it's losing its edge.The "Wow" Effect Wore OffWhen we first started using advanced LLMs, every coherent response felt like magic. Today, the novelty has completely faded. Our expectations have skyrocketed, and we routinely throw complex, multi-layered, or highly specific edge cases at these models. What we once saw as an "impressive attempt" is now viewed as a frustrating failure.The Cost of Alignment and SafetyTo make models safe for production and general public use, companies constantly update their safety filters and guardrails.The Trade-off: Over-correcting for safety can cause "over-refusal" or general blandness. When a ...