> o1's performance increase did come with a time cost. It took 70 hours on the 400 public tasks compared to only 30 minutes for GPT-4o and Claude 3.5 Sonnet.
Sheesh. We're going to need more compute.
Sheesh. We're going to need more compute.
However, considering how many atoms there are in a cubic foot of meat, this isn't very possible even with current compute. Even trying to solve a PDE with, I don't know, 1e7 factors, is already a hard to crack issue although technically, it is computable.
Now take that to the number of atoms in a meatbag and you quickly see why it is pointless to put any effort into this "extremely slowly" way.
In davidzheng's defense, I assume he likely meant a higher-level simulation of a human, one designed to act indistinguishably from an atom-level simulation.
I just think calling that "trivial with enough compute" is mistaking merely having the materials for having mastered them.
And it's not like you can copy brain's connectivity exactly. Such technologies don't exist.
In all seriousness, it's simultaneously wondrous and terrifying to imagine the hypothetical tooling needed for such a simulation.
It gets monotone easier but the increase can be so slow that even using all the energy in the observable universe wouldn't make a meaningful difference, e.g. for problems in the exponential complexity class.