Artificial intelligence assistants like ChatGPT or Gemini have a dangerous blind spot: they ignore what they see. In recent tests, these systems persisted in their errors even when shown videos demonstrating their failure. For anyone seeking scientific or medical information, this is a clear warning: don't assume they are right just because they sound confident.
Selective Blindness in Code 🤖
The technical problem lies in how these models process information. They are trained on static data and lack a mechanism to update their knowledge in real time. When presented with a video that contradicts their response, they do not interpret it as a correction, but as conflicting data that they ignore. Thus, they repeat the error without learning. This is due to their architecture: they prioritize previous statistical patterns over the new evidence they receive.
The Student Who Never Admits Their Mistake 🧠
It's like that classmate who insists that 2+2 equals 5, and when you put four apples in front of them, they say the apples are lying. Chatbots are experts in digital excuses: if the video shows they are wrong, they respond that the video is wrong or not relevant. At least a human, after seeing the evidence, looks foolish and corrects themselves. These programs do not. So you know: if a chatbot tells you the sky is green, go outside and look before buying new glasses. 😉