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
Pal, I want of whatever you smoked prior to writing this
Now seriously, from the way you wrote the post, I believe that you might not have had hands-on experience with deep learning techniques and may very well have just watched a handful of videos on YouTube instead
Well, this is showerthoughts! 🤣
Did I say something wrong?