I'm sure there are some AI peeps here. Neural networks scale with size because the number of combinations of parameter values that work for a given task scales exponentially (or, even better, factorially if that's a word???) with the network size. How can such a network be properly aligned when even humans, the most advanced natural neural nets, are not aligned? What can we realistically hope for?

Here's what I mean by alignment:

• Ability to specify a loss function that humanity wants
• Some strict or statistical guarantees on the deviation from that loss function as well as potentially unaccounted side effects