Yes. It's true that we don't know, with any certainty, (1) whether we are hitting limits to growth intrinsic to current hardware and software, (2) whether we will need new hardware or software breakthroughs to continue improving models, and (3) what the timing of any necessary breakthroughs, because innovation doesn't happen on a predictable schedule. There are unknown unknowns.[a]
However, there's no doubt that at a global scale, we're sure trying to maintain current rates of improvement in AI. I mean, the scale and breadth of global investment dedicated to improving AI, presently, is truly unprecedented. Whether all this investment is driven by FOMO or by foresight, is irrelevant. The underlying assumption in all cases is the same: We will figure out, somehow, how to overcome all known and unknown challenges along the way. I have no idea what the odds of success may be, but they're not zero. We sure live in interesting times!
However, there's no doubt that at a global scale, we're sure trying to maintain current rates of improvement in AI. I mean, the scale and breadth of global investment dedicated to improving AI, presently, is truly unprecedented. Whether all this investment is driven by FOMO or by foresight, is irrelevant. The underlying assumption in all cases is the same: We will figure out, somehow, how to overcome all known and unknown challenges along the way. I have no idea what the odds of success may be, but they're not zero. We sure live in interesting times!
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[a] https://en.wikipedia.org/wiki/There_are_unknown_unknowns