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allangrant

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Submissions

Simulation Theology: A Testable Framework for AI Alignment

arxiv.org
3 points·by allangrant·geçen ay·0 comments

The Component Manifesto

lifeiscontent.net
5 points·by allangrant·12 ay önce·0 comments

Watching Neural Networks Learn [video]

youtube.com
2 points·by allangrant·3 yıl önce·1 comments

Every Doge Has Its Day

doomberg.substack.com
14 points·by allangrant·5 yıl önce·0 comments

comments

allangrant
·2 yıl önce·discuss
Many having this issue, unfortunately. Also discussed in this thread and on Reddit: https://news.ycombinator.com/item?id=39687192

Edit: Fixed; confirmed as of 13:37 GMT+11, March 12, 2024.
allangrant
·2 yıl önce·discuss
Many having this issue. More discussion here: https://news.ycombinator.com/item?id=39686914

Edit: Fixed; confirmed as of 13:37 GMT+11, March 12, 2024.
allangrant
·3 yıl önce·discuss
I. X
allangrant
·3 yıl önce·discuss
A video about neural networks, function approximation, machine learning, and mathematical building blocks. This is a submission for #SoME3

(0:00) Functions Describe the World

(3:15) Neural Architecture

(5:35) Higher Dimensions

(11:55) Taylor Series

(15:20) Fourier Series

(21:25) The Real World

(24:32) An Open Challenge

Links and Content:

• On Mathematical Maturity, Thomas Garrity: https://youtube.com/watch?v=zHU1xH6Ogs4

• Earth Rotation Loop: https://youtube.com/watch?v=aiQdLP2mBJE

• Earth Rotation Loop Modeling Shell Surfaces: https://www.geogebra.org/m/xtv7zpn5

• Fourier Features Paper: https://arxiv.org/abs/2006.10739

• Code for mandelbrot/image approximations: https://github.com/MaxRobinsonTheGreat/mandelbrotnn

• Code for line/surface approximations: https://github.com/MaxRobinsonTheGreat/ManimApproximations