I scaled a pure Spiking Neural Network (SNN) to 1.088B parameters from scratch.

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s0y0dm/nord_v42_update_618m_snn_reaches_loss_365_with/"> <img alt="Nord v4.2 Update: 618M SNN reaches loss

<!-- 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

<!-- SC_OFF --><div class="md"><p>I benchmarked it against PyTorch with a Wikipedia dataset.</p> <p>I heavily used Gemini Flash 3.5 to build out my vision</p> <p><a

<p>I'm a 10th grade student teaching myself Rust by building something instead of just reading theory. The project is called Green-AI — an attempt to explore more energy-efficient

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1t2zy4h/torchnvenccompress_gpu_nvenc_silicon_as_a_pcie/"> <img alt="torch-nvenc-compress: GPU NVENC