AI has managed to follow roughly linear progress over the past 70 years thanks to an exponential increase in available resources (computing power, researcher headcount, tooling/networking improvements).
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Are you counting the increase in number of researchers and engineers too? Or are you just referring to computation?
Yes, I'm referring to "computing power, researcher headcount, tooling/networking improvements". That includes Moore's law, the growth in numbers of researchers and engineers, the Internet, compilers, etc. Science is an ever self-improving process.
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Do you think a form of "Strong AI" will be achieved before the end of this S curve (or linear growth over the next few decades)?
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I think there is no difference between strong and weak AI. AI either works or does not work (on a target problem domain). If it works, it is strong. If it doesn't work, it is useless.
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