At PyTorch Conference North America 2026, Google and Meta released TorchTPU, a native PyTorch backend for Google's TPUs, and Meta said it plans to shift larger LLM workloads onto TPUs with it. AWS released TorchNeuron for Trainium the same week, while developers questioned TPU availability and where vendor lock-in now lies.
Google has open-sourced ML Drift, a cross-platform GPU compute engine for on-device AI and machine learning inference, under Apache 2.0. It hides the differences between GPU hardware and low-level APIs and supports OpenGL ES, OpenCL, Metal and WebGPU.
Hugging Face's Carbon-X is an open 14.8-billion-parameter DNA language model built on Qwen3-14B. It reads raw DNA in a chat and answers in English, averages 66.7% across five DNA benchmarks, and is released under Apache 2.0.
Nanbeige LLM Lab has released Nanbeige4.3-33B, a 33-billion-parameter dense model under Apache 2.0 with a 512K context window. It scores 80.9 on Terminal-Bench 2.1 and will be used to teach the forthcoming Nanbeige4.3-3B.
The moderators of Reddit's r/opensource have posted new submission rules that, among other restrictions, exclude any project that uses AI, is made by AI or is meant for AI. They argue that AI in its current form is at odds with open source.
A WeChat account affiliated with state broadcaster CCTV says DeepSeek and MiniMax are the first companies to complete registration under China's proposed AI export controls. Both have obtained rights to release models as open source and license them overseas.