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Thinking Machines released Inkling with Apache 2.0 weights, 975B parameters, 41B active parameters, text/image/audio support, and up to 1M context. vLLM, SGLang, Modal, Databricks, and Vercel added day-zero support.
ml-intern now lets an agent run long post-training tasks like parallel ablations in YOLO mode and automatically pushes session traces to a Hub account for later inspection. That gives RL and fine-tuning workflows both unattended execution and a built-in audit trail.
Hugging Face introduced Kernels on the Hub to publish pre-compiled GPU kernels matched to GPU, PyTorch version, and OS. The packaging makes kernel optimizations shareable and claims 1.7x to 2.5x speedups over PyTorch baselines with torch.compile compatibility.