Microblog
So this is basically my twitter page but not cringe.
Not cringe insofar as it isn't twitter; I make no guarantees about the quality of content found on this page.
Instead of sex tonight we ate a lot of pizza and I explained Lagrange polynomials and numerical integration improvements w the interpolation instead of having sex bc I am too full to suck, or even lay, pipe; and she just spent the past 20 minutes typesetting what I said into their notes. Not an expert but I think this is what the catholics are trying to do with the whole "mairrage" thing but they will never have it like us. I dont think
Fashion sense so different pintrest just assumes most of the fits I like were made by ai. but it of course could never
Far be it for me to get into frybread discourse, but the past week I have been putting of going to the store for super neurotypical reasons and have reached the bottom of my cupboard, and like its really crazy that you can just like take flour and water and some salt and mix it and fry it and like boom. fried bred. outside concept for the WASP brain.
I figure I should post about my other interests from time to time, and for all of you just here for the faggotry pretty fuckin bummer for you that those happen to include math. Anyway, a day or two in one of my classes the prof. pointed out that while sure you can see a nuron in a nerual networks as an affine function on each of the previous layer's output, followed by our RELU, it is also the dot product of the weights vector going into that neron and the previous layers values. This is also called the cosine similarity. Since if you think of the input and weights matrix as two hyperpoints, this is just the value of the cosine between their angles. like a normal ass dot product. But then we add our bias (the sum of all + terms in our affine functions) and RELU the bitch, which together is just checking if the cosine is above a certain limit. If it is, return it, if not 0.
So, the cutoff for the RELU can be interpreted as a sphere sphere with a learned in the high dimension space surrounding the points of our weights vector! so all the nn is doing is checking if we are outside this area, and if we are not saying "heres how far" and if so saying "basically the same" And then the composition of all of these checks is just a whole bunch of cuts on input space, hence the spline representation of nns and the only reason you cant interpret nns is that you cannot actually see imagespace or whatever
How fucked up is that!
Every day I understand this image more:
God is not uncaring.
Uncaring is the abandonment of a child to a tempest, the boot on a human face forever.
God can do neither of these things.
Nor can He raise a child in loving arms or face a people's tribunal.
Do not erroneously assumed the law of the excluded middle. The Intuitionists know the Truth.
God is neither uncaring nor caring. God is a third, worse thing.
# been watching a lot of sheafafication of g recently
NOTHING platonic about this ideal
ugggg fiiiinnneeee me and my 8 layers of ironyyyy.... we're shower now