A r/LocalLLaMA post discusses Furiosa AI’s RNGD inference chip, citing TSMC 5nm, Hynix HBM3, 48GB VRAM, 1.5TB/s bandwidth, and 180W TDP. The author argues it could matter for local LLM users if Furiosa opens its programming interface and works with llama.cpp on a GGML backend. The post later clarifies Furiosa is not selling to consumers; this is a wish and market commentary, not a launch.
QbitAI questions the industry’s heavy focus on humanoid robots and argues that consumer quadrupeds may be the more practical near-term path. It frames homes as richer, messier training grounds than factories for embodied AI. The key point is that scalable robot dogs could enter households, collect real interaction data, and build a consumer flywheel before humanoids become broadly usable.