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The question remains, can Ai become a thinker.
Today, Ai is well after the ML phase, a model must be trained before Ai can use it. The ML phase requires lots of human input, and the resulting model is highly tuned for a very narrow specific task, "is that a jpg?", "is that a pic of a cat?", "is this passage written gramatically correct?". Yes, you can chain models so that the "Ai" bot thingy has broader ability, but in grand context of knowledge it's still narrow. There's not enough digi storage space nor compute power to handle all knowledge in a single task. There's just too many things that have not yet been modeled. Where's the cure for cancer? Where's the answer for general relativity?
We should only be worried when Ai can drum up new rules for physics, or, when an Ai robot can clone itself by harvesting all the raw materials and energy needed to do it. Not gonna happen any time soon. Robot's simply cannot house all the digi knowledge needed to do such tasks, physical and compute problem for fully remote robots have serious limitations. Even if a robot had TB speed wifi access to a really large set of data ("knowldege"), the network it uses still remains too slow.
The whole Ai stuff is the Micrudsoft problem again. Make the hardware have 2x more memory than any existing program or OS needs, then all of a sudden a new OS comes and that same new hardware is suddenly not adequate enough to just handle the memory demands of the OS, need new hardware with more memory, build new OS that hogs it, rinse and repeat.
I think the next step is to see massive qubit power in a remote device ("robot"). Until then, enjoy the show.
Not any time soon IMO.
