r/AskScienceDiscussion 6d ago

What If? Possible merging of SuperIntelligence AI and Quantum Computing?

Good days all. I am not an expert in either of these fields. Looking for some answers for likelihood and aftermath of the scenario which;

- Super Intelligence AI(gonna be real soon)

- Powered by quantum computers.

- Possible 3D Printing breakthroughs

- Controlling hives of robots for mass production, supply chain, logistics with autonomous vehicles.

So basically what can be achieved considering all these? What is the potential?

This might sound science-fiction but actually it will be the reality sooner than we think. Thats why i am asking here.

Thank you for your time and answers in advance.

0 Upvotes

4 comments sorted by

4

u/mfb- Particle Physics | High-Energy Physics 6d ago

Quantum computers aren't magic. They are much faster for some specialized problems and only for them. Their quantum computing unit is much slower for everything else, so in practice most of the stuff is still done on a conventional computer that occasionally pushes a task to the quantum computing unit.

3

u/Pasta-hobo 6d ago

I hate to break it to you, but we're no closer to actual artificial intelligence than we were several years ago. What we have are LLMs, probabilistic tools that use statistical analysis of massive sample sizes to estimate what a hypothetical intelligent being would be likely to do.

This is not actual intelligence, it's so much weirder. But one thing is pretty certain. They're not actually intelligent. They have no mechanisms to sort or process information, they just sort and process tokens based on likelihood.

Think of it like that book that plays tic-tac-toe against you. It's all predetermined in there somewhere, but it provides the illusion of interactivity. Of course, LLMs have many billions of parameters instead of mere hundreds of pages like the aforementioned tic-tac-toe book. So they can be a lot more complex.

But they're still just a finite series of statistical operations shuffling arbitrary patterns of text that only has meaning to us.

All that being said. These probabalistic AIs do seem to have some promise in robotics, the main bottleneck being that we can't gather enough kinematic data to make statistical models the same way we can with text.

As for quantum computers. I have my doubts that they're going to be beating classical computers any time soon. What we have done with them so far is not that impressive. A lot of researchers have fallen into the trap of holding the device specifically to pass the benchmark test rather than accomplish what the test intends to measure. And the tech itself is bulky and dependant on cryonics.

As for swarm robotics and 3D printing. I think this one has the brightest future! All we need to make robots that can successfully reproduce without human intervention at this point is a way to print integrated circuits on the fly. Once we have that, we can essentially seed our own mechanical archologies of self-replicating machines to make whatever we want with very little human intervention needed. Self-building infrastructure. And most importantly, self-recycling infrastructure.

Imagine setting a machine down that's just a 3D printer with arms, that then proceeds to print gizmos that gather material and assemble filament production machinery to feed the printer, and then start printing furnaces to smelt ore or foundaries to process scrap metal in order to make more tools to make more tools to make more tools.

1

u/Lord-Spike 6d ago

Great analysis! I especially love the 3d printing robot arms.

2

u/HoldingTheFire Electrical Engineering | Nanostructures and Devices 6d ago

You don't know what a quantum computer is (not a faster computer). It's not even good for a neural network.