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There is every reason to think this. Its about available quality data. The data that was easiest to fetch was already there, then we got some more data by asking experts to create datasets for post training. Once this is over, we will get to the outer world that didn't get to hoard it for bots to take it. This will certainly change. Put on a smart glasses and record what you do to fix a pipe. In 3-5 years, rinse and repeat.

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Maybe, I'm at the point I don't know what to think anymore. But somehow, this feels still non-human. Humans don't need millions of hours of training and millions of samples to learn how do to something. We have proof that systems can deal with low-shot training. So why can't these? My point is when we have human level learning ability, then we're moving, if we expect expansion of capabilities to come from data alone, I'm prepared for disappointment.

To form an human to do frontier research requires decades since birthdate

It will be comparable once the AI is self sustainable and self reproducible (no big data centers behind it). Then it will have to deal with limited resources to run itself like humans do. In that scenario it will no longer have entire world of knowledge at its hands - options will be to cut anything not usable imediately or to communicate with big AI in the cloud.

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