In 100 years I expect there will be a fundamental shift in how computing is done. I don't know what that will look like, but it will be nothing like what we know today.
In 100 years I expect there will be a fundamental shift in how computing is done. I don't know what that will look like, but it will be nothing like what we know today.
However, if we're talking 100 years, it's hard to estimate what potential paradigm shifts like true AI*, quantum computing, or something that hasn't been thought of will change.
* What we're now seeing with GPT 3.5 etc. No-one can really say with high confidence whether it's the start of an AI revolution or will plateau soon.
Reference: https://www.historynet.com/drones-hollywood-connection/?f
What your memory probably brought up was the fact that all the 52s flying today are 52H, the final iteration following A through G with considerable changes between them. But the H is the one built 1961 through 1963, from today's perspective they are not really much younger than their mothballed/disarmed siblings. The reason I suspect that this is what you are talking about is that the same thing happened to me, I roughly knew about the A through H thing but placed the H much closer to the present and was very surprised on a recent read-up.
[0] https://www.afmc.af.mil/News/Article-Display/Article/2789821...
I'm not confident that will be the case. But its plausible from a technical standpoint. On a far shorter timeline than 100 years.
It seems I’m not alone and Noam Chomsky feels the same. https://www.inverse.com/article/32395-elon-musk-neuralink-no...
Arguably, we already did that (make an interface that our brain adapts to): programming languages, keyboards, are already man-made interfaces our brain adapted to.
EDIT: Now I can't shake the mental image of Alex from A Clockwork Orange strapped into his chair for his "treatment". And certain scenes toward the end of The Men Who Stare at Goats.
For what its worth, I did (well, started) a PhD in this and you're bang on. We don't understand the brain at all, and trying to fudge this immense knowledge gap with Machine Learning is getting us nowhere. Doesn't stop the grant money from rolling in, though.
Such gaps sometimes get closed by monumental efforts, sometimes by small groups, and sometimes they take centuries.
Brain implants + near-AGI would essentially make us superhuman
If you replace metalworking with the reward mechanism hacks Facebook et al use to optimize their success metrics, the threshold to a paperclip maximizer scenario gets considerably lower. Smartphones are bad enough, add MMI to the mix and all bets are off.
Somehow no fundamental shifts in how rolling on the ground is done are foreseen, despite the time frame.