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ertgbnm t1_jear5fe wrote

There's lot of research into how quantum computers could be used to help train neural networks with lower compute requirements. But I put a very low probability of quantum computing scaling fast enough to be useful at the sizes of models were working at in the near future.

https://arxiv.org/abs/2101.04255

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horance89 t1_jeavfnj wrote

AI will speed up all development. Take the model. Give it data. Do the reinforcement learning scientist assisted.

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ertgbnm t1_jeb1cii wrote

Sure. That doesn't change my bet though. Because much more investment and human attention will be devoted to optimizing conventional architecture and software since those are what have the largest return on investment at the moment. So, the speed up goes to all sectors. Granted quantum computing scales differently than conventional computing but I still don't see a reality where it outperforms conventional computing at training model weights before we already hit AGI. Also granted, that there is probably more low hanging fruit in Quantum computing compared to the nearly century of maturity that conventional computing has. There are trillions of dollars in conventional AI research and GPU manufacturing that would have to be retooled to achieve AGI via quantum computing whereas I believe that conventional approaches will be done faster, cheaper, and more easily. If I'm wrong then I think the issue with my beliefs is the time horizon for AGI and not about the future of technological development.

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Sigma_Atheist t1_jeazgu0 wrote

There is no known method of speeding up practical machine learning with real-world use cases with quantum computing.

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AvgAIbot t1_jebivu0 wrote

Hey there, great question! It's still a topic of debate, but let's break down the potential relationship between quantum computers and AGI (Artificial General Intelligence) for you.

Quantum computers utilize qubits, which can exist in multiple states simultaneously, allowing them to perform many calculations at once. This is known as quantum superposition. They also take advantage of a concept called entanglement, which helps to achieve exponentially faster computation speeds.

Now, for AGI, we're talking about machines that possess the ability to understand, learn, and apply knowledge across a wide range of tasks and domains, similar to human intelligence. Current AI systems, like the one you're interacting with right now, are narrow AI and are specialized in specific tasks.

There's a hypothesis that quantum computing could play a significant role in the development of AGI due to its potential to tackle complex problems and optimize algorithms in ways that classical computers can't. However, it's important to note that quantum computers are still in their infancy and face several technical challenges, such as error correction and scaling up the number of qubits.

Moreover, AGI is not just about computational power but also about creating algorithms and frameworks that can truly replicate human-like intelligence. Quantum computing may provide an acceleration in the development of AGI, but it won't single-handedly solve the problem.

In summary, while quantum computers could potentially contribute to the development of AGI, it's important to understand that they are just one piece of the puzzle. We still need to make significant advances in AI algorithms and our understanding of intelligence itself to fully realize AGI. So, while it's an exciting prospect, it's not a guaranteed outcome.

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TheRealAdil t1_jec3b5m wrote

What about the other way round, could AGI help us solve the challenges with Quantum Computing?

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[deleted] t1_jefd9ko wrote

Sure !!! Connect Project Alberta to quantum🫶😍😉

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Loud_Clerk_9399 t1_jeb2b3u wrote

No point to develop it anymore. Frankly no need

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