I taught myself integer-only neural net training in Rust — and ran into a real q

<!-- SC_OFF --><div class="md"><p>The BDH (Dragon Hatchling) paper (arXiv:2509.26507) describes a Hebbian synaptic plasticity mechanism where model weights update during

<p>I want to be honest with you from the start: I didn't set out to write this article.</p> <p>I set out to answer a question I had about my own tool — <em>can Hasaki do

<!-- SC_OFF --><div class="md"><p>Analog in-memory compute is getting attention again as a way around the energy cost of moving weights between memory and compute. The recurring

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sez79x/towards_a_bitter_lesson_of_optimization_when/"> <img alt="Towards a Bitter Lesson of Optimization:

<p>Hey everyone. I’m an 18yo indie dev, and I’ve been experimenting with Spiking Neural Networks (SNNs) for language modeling. A lot of papers (like SpikeBERT) mention that

<!-- SC_OFF --><div class="md"><p>I've been reading about ternary weight quantization in neural networks and wanted to get a sence of how seriously the ML research community is