I have pondered this and have decided what my standards are. I realize I don't have the authority to set those standards for everyone.
GAI is, to me, when machine is able to be given a problem and then, without prompting, decides which data to consume to learn how to solve that problem. It could be told to optimize an automotive design for a 5% efficiency increase without a loss of safety features and while keeping the performance the same - and then go out and figure out what data it needs to learn so that it can solve that task. It would assemble and process that data and then come up with the answer, which might just be that it is impossible with current tech and here is what is needed and this is how to do it.
That's rather verbose and I'm absolutely not the person who gets to define it. But, when someone says AI, that is how I think of it. More so when they say general AI.
GAI is, to me, when machine is able to be given a problem and then, without prompting, decides which data to consume to learn how to solve that problem. It could be told to optimize an automotive design for a 5% efficiency increase without a loss of safety features and while keeping the performance the same - and then go out and figure out what data it needs to learn so that it can solve that task. It would assemble and process that data and then come up with the answer, which might just be that it is impossible with current tech and here is what is needed and this is how to do it.
That's rather verbose and I'm absolutely not the person who gets to define it. But, when someone says AI, that is how I think of it. More so when they say general AI.