solinvictus21 t1_jdlvwlp wrote
Reply to comment by jeremy-o in What happens if it turns out that being human is not that difficult to duplicate in a machine? What if we're just ... well ... copyable? by RamaSchneider
Our best AI models are already simulating trillions of synapses. The human brain has ~200 trillion. How much longer do you really think it’s going to be?
SirFredman t1_jdm2vsz wrote
Well, consider the amount of synapses used for running a meat machine which aren’t needed by an AI model. I think the amount of neurons and synapses needed is less than we think…
ninjadude93 t1_jdmsd9l wrote
The issue is figuring out if scale is all you need to replicate a human mind. I definitely don't think scale is all you need and its going to take a long time to truly replicate the human mind
Subject_Meat5314 t1_jdnls2i wrote
Agreed. Scale of the hardware (wetware?) is necessary but not sufficient. Next we have to write the software. The last effort took 100’s of millions of years. We have a working model and better management now though, so hopefully we can make quicker progress.
ninjadude93 t1_jdocwnn wrote
Theres probably some level of scale necessary to start to see emergent properties but the point I tend to disagree on is people saying just throwing a NN at more and more data will suddenly give us AGI past a certain threshold. The human brain isn't just a bunch of neurons theres specialized regions all working together and I think this orchestration plus scale is what will take us to AGI
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