AI will remain a massively parallel numerics affair with enormous data sets and monstrous memory bandwidth and network crossection. And accrding energy consumption. Jevon’s paradox will eat any efficiency improvements.
Only if LLMs are the only option. A paradigm change is coming. It’s like what happened when European and Japanese performance cars started to take on American muscle cars or SpaceX (yeah I hate the Nazitard too) started recovering rockets and reusing them, or PCs started replacing mainframe workstations…
I do hope that all the LLM companies have research teams that are investigating alternatives to LLMs as we know it today, rather than just how to make the existing LLMs more efficient/better.
The whole technology of how LLMs work seems flawed to the core, e.g hallucinations.
AI will remain a massively parallel numerics affair with enormous data sets and monstrous memory bandwidth and network crossection. And accrding energy consumption. Jevon’s paradox will eat any efficiency improvements.
Only if LLMs are the only option. A paradigm change is coming. It’s like what happened when European and Japanese performance cars started to take on American muscle cars or SpaceX (yeah I hate the Nazitard too) started recovering rockets and reusing them, or PCs started replacing mainframe workstations…
I do hope that all the LLM companies have research teams that are investigating alternatives to LLMs as we know it today, rather than just how to make the existing LLMs more efficient/better.
The whole technology of how LLMs work seems flawed to the core, e.g hallucinations.