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1. jjcm+ne[view] [source] 2024-01-08 22:32:47
>>treebr+(OP)
A really simple approach we took while I was working on a research team at Microsoft for predicting when AGI would land was simply estimating at what point can we run a full simulation of all of the chemical processes and synapses inside a human brain.

The approach was tremendously simple and totally naive, but it was still interesting. At the time a supercomputer could simulate the full brain of a flatworm. We then simply applied a Moore's law-esque approach of assuming simulation capacity can double every 1.5-2 years (I forget the time period we used), and mapped out different animals that we had the capability to simulate on each date. We showed years for a field mouse, a corvid, a chimp, and eventually a human brain. The date we landed on was 2047.

There are so many things wrong with that approach I can't even count, but I'd be kinda smitten if it ended up being correct.

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2. tayo42+Cf[view] [source] 2024-01-08 22:38:12
>>jjcm+ne
Is there something to read about simulating a worm brain. Neurons aren't just simply on and off? They grow and adapt physically along with their chemical signals. Curious how a computer accounts for all of that.
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3. jncrat+4g[view] [source] 2024-01-08 22:40:17
>>tayo42+Cf
You might be interested in OpenWorm:

https://openworm.org/

This paper might be helpful for understanding the nervous system in particular:

https://royalsocietypublishing.org/doi/10.1098/rstb.2017.037...

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