Re:Advances in semiconductors are feeding the AI boom
by ordu on Thursday March 28, 2024 @05:31PM
(#39857559)
> The power efficiency difference may be explainable by the much slower frequency of brain computation (200 Hz vs. 2GHz).
Or by a more static design. A GPU can't do a thing without all the weights and shaders. There are benefits of this, you can easily swap one model for another. Human mind from the other hand is not reprogrammable. It can learn new tricks, but you cannot extract a firmware from one person and to upload it to another person.
Just imagine if every logical neuron of AI was a real thing, with physical connections to other neurons as inputs. No more need to have a high throughput memory, no more need to have compute units with gigaherz frequency.
Or by a more static design. A GPU can't do a thing without all the weights and shaders. There are benefits of this, you can easily swap one model for another. Human mind from the other hand is not reprogrammable. It can learn new tricks, but you cannot extract a firmware from one person and to upload it to another person.
Just imagine if every logical neuron of AI was a real thing, with physical connections to other neurons as inputs. No more need to have a high throughput memory, no more need to have compute units with gigaherz frequency.