Working on a cgo-free CUDA binding in Go for ML stuff Week 3 - open source [P]

<p>Go is great at infrastructure.</p> <p>It gives us fast builds, simple deployment, lightweight concurrency, and the ability to ship a single binary.</p> <p>But Go has always

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s2e0d5/built_an_opensource_llm_router_for_consumer_gpus/"> <img alt="Built an open-source LLM router for

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tcsqwk/built_an_opensource_oneprompttocinematicreel/"> <img alt="Built an open-source

<!-- SC_OFF --><div class="md"><p>Hey I'm 0xcircuitbreaker (CircuitBreaker88), and I'm building a small fine-tuning service around local/open models. I'm looking for 5 pilot

<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC

<!-- SC_OFF --><div class="md"><p>New blog post by Daniel Vega-Myhre (Meta/PyTorch) illustrating GEMM design for FP8, including deep-dives into all the constraints and design

<!-- 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>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot