Yes, it also opens up a faster recurring revenue model for hardware companies, faster model obsolescence than how often you change a computer, a server, or a GPU card. I hope they can figure out trillion-parameter models rapidly.
Nvidia happened to be the best option for AI after building machines for graphics, so it makes sense they weren't the best idea from scratch for this specific use case. Especially given the scale of the demand and the possibility of recurring revenue, I hope a lot of smart people will try to solve it, compete with each other, and deliver us extremely fast and cheap intelligence.
And one can say LLMs are not as smart as a human, but a lot of the reasoning humans do for product and service generation isn't smart at all—it's just a bit of fuzzy input/output plus some reasoning rules. And then if you hook a robot up to the LLM, you can get results in atoms instead of bits.
I'm very excited about the future. I also hope it will stop money from flowing to bureaucrats who are incentived to keep the problems open to keep the money flowing, and instead facilitate sharing directly with the people (for example, no money to the state to solve homelessness—instead, spay instead with intelligence output to build a house and provide food as part of taxes.)
And one can say LLMs are not as smart as a human, but a lot of the reasoning humans do for product and service generation isn't smart at all—it's just a bit of fuzzy input/output plus some reasoning rules. And then if you hook a robot up to the LLM, you can get results in atoms instead of bits.
I'm very excited about the future. I also hope it will stop money from flowing to bureaucrats who are incentived to keep the problems open to keep the money flowing, and instead facilitate sharing directly with the people (for example, no money to the state to solve homelessness—instead, spay instead with intelligence output to build a house and provide food as part of taxes.)