| > To answer this, we'll start by attacking Conway's Game of Life - perhaps the most iconic cellular automata, having captivated researchers for decades > At the heart of this project lies...
> his powerful paradigm, pioneered by Mordvintsev et al., represents a fundamental shift in... (Not only is this clearly LLM-style, I doubt someone working in a group w/ Mordvintsev would write this) > Traditional cellular automata have long captivated... > In the first stage, each cell perceives its environment. Think of it as a cell sensing the world around it. > To do this, it uses Sobel filters, mathematical tools designed to numerically approximate spatial gradients Mathematical tools??? This is a deep learning paper my guy. > Next, the neural network steps in. ... And it just keeps going. If you ask ChatGPT or Claude to write an essay for you, this is the style you get. I suffered through it b/c again, I really like Mordvintsev's work and have been following this line of research for a while, but it feels pretty rude to make people read this. |
If you have proof like the logits are statistically significant for LLM output, that would be appreciated - otherwise it's just arguing over style.