When people argue about AI, they are normally not even arguing about the facts, but they are just having different definitions of the term AI which they are using when they are speaking to each other. So, some people may think about ChatGPT, others about image generation. Some of them will think about AI automation in the workplace, and others will think about robots replacing humans and all the fears associated with it. Historically, the term artificial intelligence was referring to the tasks which can now be performed by robots or machines, while before they used to be done by human beings.
And these can be such tools as spell check or Google search. Of course, time passed, we are now used to it, and we are never thinking about these things as something related to AI. When today people speak about AI, they normally mean the generative models which can create text, images, videos, and other types of artifacts. But even here, there may be inconsistencies between the understanding of what they are talking about. For example, some people may think about large language models themselves, like GPT-4 or GPT-5, and others will be thinking about the tools or AI products which are using these models in the backend.
Here, the rule of thumb is very simple. When you see that there is a sort of an argument in the discussion with a person, try to think, or maybe even ask that person, what do they think about artificial intelligence, what it actually is, what they refer to when they are discussing this topic with you. If they say it's a model, then it's one thing. If they say it's an AI tool, it's another thing. If they just say that it's a concept of machines replacing humans in general and all the fears associated with it, it's going to be a completely different topic of discussion.
Thank you for watching. This was a Note on AI for today.
