The widespread misunderstanding regarding how LLMs work is becoming exhausting

​It is genuinely frustrating seeing the current state of discourse around AI. It really just comes down to basic common sense. It feels like people are willfully ignoring the most basic disclaimer that has been plastered on the interface since day one. These tools can make mistakes and it is solely the user's responsibility to verify the output.

​What is worse is how people keep treating the bot like it is a real person. I understand that users do what they want, but we cannot lose sight of the reality that this is a probabilistic engine. It is simply calculating the best statistical prediction for the next word based on your prompt and its underlying directive to be helpful. It's a tool.

​It is also exhausting to see these overly complex, ritualistic prompt structures people share, full of weird delimiters and pseudo-code. They sell them as magic spells that guarantee a specific result, completely ignoring that the model’s output is heavily influenced by individual user context and history. It is a text interpreter, not a strict code compiler, and pretending that a specific syntax will override its probabilistic nature every single time is just another form of misunderstanding the tool. We desperately need more awareness regarding how these models actually function.

Leave a Reply