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203 karma · joined November 10, 2019
It will be interesting to rewatch movies with all the faces blanked out - they're eye-magnets that prevent you from noticing other details, for example in body language
"transform this into this realistically"
ILM's holy grail
Volume was measured in ngogn (equal to 1000 cubic potrzebies), mass in blintz (equal to the mass of 1 ngogn of halavah, which is "a form of pie [with] a specific gravity of 3.1416 and a specific heat of .31416"), and time in seven named units (decimal powers of the average earth rotation, equal to 1 "clarke"). The system also features such units as whatmeworry, cowznofski, vreeble, hoo and hah.
(https://en.wikipedia.org/wiki/Potrzebie)
i linked HUMAN-BASED
Vitruvian Man shit :D
this is a BALLER shot amigo
But a company CREATING Magical Ass, this would obviously be one doing perfect CGI humans.
Michelangelo-level perfection and pathos at 60fps+ = direct hijack into the divine experience centers of your brain
Big Thiel truth here, yeah I'm already working on it
https://medium.com/@auren/why-the-famous-peter-thiel-intervi...
Let users rate how much they like each painting, then show them which other users highly agree with them and which ones highly disagree
That's awesome tho
Colab is dogshit if you don't pay
Additional things you could display under the map:
-Breakdown of which countries and cities have the most friends ("mutuals" in Twitter terminology)
-Time to travel to the top 5 nearest ones
-Top 5 furthest from you
-Average distance
I was recommended The Affinities while posting about this before and currently have read halfway through. It explores that question quite well so far
Today's idea for it: friend group multiplayer with increasing numbers required to form a team - everyone continuously invites +1
Lets all the friend groups smear and grow exponentially
Find me everyone who GETS ME. I want a thousand or more
https://zeroprecedent.substack.com/p/a-technique-for-generat...
nsfw_threshold=1 for no filtering
"DALL-E + 0.001ms" ran continuously = reality sim
Based on previous frames, it'd be able to predict that two water drops would coalesce within the next dozen frames, a car will stop within X distance of another, etc.
Next frame probability Scheherazade
"In bioinformatics, BLAST (basic local alignment search tool) is an algorithm and program for comparing primary biological sequence information, such as the amino-acid sequences of proteins or the nucleotides of DNA and/or RNA sequences." - could it be used to identify and group similar structures in NNs? (https://en.wikipedia.org/wiki/BLAST_(biotechnology))
I've been thinking of some kind of visual representation of weights, graphs etc. Images and evolving images as the substrate of the neural network. Pixels on a plane, planes affecting each other, activation recorded as brightness/color. Then we can use visual algorithms like SIFT (https://en.wikipedia.org/wiki/Scale-invariant_feature_transf...) to do cool stuff and grow better and better graphic-based NNs.