# All of koanchuk's Comments + Replies

Predicting sequence from structure just belongs to a different class of problems. Pierce & Winfree (2002) seem to have proven that it is NP-hard.

1Daniel Kokotajlo2y
I'm not disputing that it's in a different complexity class, I'm just saying that it seems easier in practice. For example, suppose you gave me a giant bag of legos and then a sequence of pieces to add with instructions for which previous piece to add them to, and where. I could predict what the end result would look like, but it would involve simulating the addition of each piece to the whole, and might be too computationally intensive for my mortal brain to handle. But if you said to me "Give me some lego instructions for building a wall with a cross-shaped hole in it" I could pretty easily do so. The fact that there are zillions of different correct answers to that question only makes it easier. As the paper you link says,

I think that one problem is that an AA sequence generally results in a single, predictable 3D structure (at stable pH, and barring any misfolding events), whereas there are a lot of AA sequences that would result in something resembling e.g. an axle of a certain size, and even more that do not. It seems to me that this problem is in a different class of computational complexity.

4Daniel Kokotajlo2y
Shouldn't that make it easier? The AI has many options to choose from when seeking to generate the gear, or axle, or whatever that it is tasked with generating.

Interesting thought experiment.

Your ability to rotate in place is redundant. Your vestibular apparatus is located in your ears, which don't exist in this space, meaning that you are wholly incapable of proprioception.

Hence, the only input you're getting is the colour white. However, since you have nothing to compare it to, I would expect that any and all circuits designed for perceiving lines, edges, shapes and other colours would fail to develop. The same goes for circuits related to sensory input that is non-visual.

Connections between neurons that ...

I predict that the sharp rise in unemployment and economic uncertainty has increased in incidence of some mental illnesses, in particular major depression and substance use disorders.

This will continue to negatively impact the real economy for some time: depressed people are too anhedonic to consume things they don't truly need, and the newly minted alcoholics won't be as productive as they were pre-2020.