ertgbnm t1_jear5fe wrote on March 30, 2023 at 5:31 PM

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

horance89 t1_jeavfnj wrote on March 30, 2023 at 5:58 PM

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

ertgbnm t1_jeb1cii wrote on March 30, 2023 at 6:36 PM

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.