The Emergent Symbolic Structure of Artificial Neural Networks
(news.ycombinator.com)
1.
2.
How an MIT research project became the Julia programming language
(news.ycombinator.com)
3.
Embedded AI
(news.ycombinator.com)
4.
Universality of Gradient Descent Neural Network Training
(news.ycombinator.com)
5.
Norway Should Buy OpenAI
(news.ycombinator.com)
6.
The Problem
(news.ycombinator.com)
7.
Discrete Fourier Transform by Hand
(news.ycombinator.com)
8.
Degree-of-polarization modulation for high-dimensional optical computing
(feeds.nature.com)
9.
What Is AI Model Distillation?
(gizmodo.com)
10.
AI Images Are Everywhere. Here’s What They Do to Our Brains, and What We Can Do.
(feeds.content.dowjones.io)
11.
Four Time Scales for Technology Development and Deployment
(news.ycombinator.com)
12.
Explorative modeling: Train on the best of K guesses
(news.ycombinator.com)
13.
Solving poker in custom WebGPU kernels
(news.ycombinator.com)
14.
After the AI Crash
(news.ycombinator.com)
15.
16.
Who’s afraid of the big, bad GPU?
(theverge.com)
17.
1-Bit LLM in the Browser
(news.ycombinator.com)
18.
Is One Layer Enough? A Single Transformer Layer Matches Full-Parameter RL Train
(news.ycombinator.com)
19.
20.
Matrix Orthogonalization Improves Memory in Recurrent Models
(news.ycombinator.com)
21.
Can Clothes Make You Invisible to Facial Recognition?
(darkreading.com)
22.
The Lab Mistake That Might Revolutionize Computing
(spectrum.ieee.org)
23.
Apple Neural Engine: Architecture, Programming, and Performance
(news.ycombinator.com)
24.
Puzzling Success of Overparameterization: Lottery Tickets or Escape Dimensions?
(news.ycombinator.com)
25.
26.
27.
30.
Show HN: Microcrad – Micrograd Reimplemented in C
(news.ycombinator.com)
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