📰 LMSys - OPD Support in Miles


https://lmsys.org/blog/2026-07-18-opd-support-in-miles

🔓 [HF Models] nvidia - MiniMax-M3-DSpark


https://huggingface.co/nvidia/MiniMax-M3-DSpark

📰 Anthropic - A research agenda for the Economic Futures Research Fund

https://www.anthropic.com/news/economic-futures-research-fund-agenda


📰 Anthropic - Ask Claude about the Anthropic Economic Index

https://www.anthropic.com/news/anthropic-economic-index-connector


📰 Anthropic - Anthropic is donating another $20 million to Public First Action

https://www.anthropic.com/news/donation-public-first-action


📰 Anthropic - Apply for Anthropic’s AI for Science rare disease research grants

https://www.anthropic.com/news/rare-disease-research-grants

📰 OpenAI - Building AI infrastructure with the Effingham County community

https://openai.com/index/building-ai-infrastructure-with-the-effingham-county-community


📰 OpenAI - How news organizations are using AI to advance their vital missions

https://openai.com/index/how-news-organizations-are-using-ai


📰 OpenAI - Advancing the next era of national science

https://openai.com/index/advancing-the-next-era-of-national-science


📰 OpenAI - Introducing OpenAI Presence

https://openai.com/index/introducing-openai-presence


📰 OpenAI - Introducing the ChatGPT for small business program

https://openai.com/index/introducing-chatgpt-small-business-program


📰 OpenAI - OpenAI and Hugging Face partner to address security incident during model evaluation

https://openai.com/index/hugging-face-model-evaluation-security-incident


📰 OpenAI - David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC

https://openai.com/index/david-velez-robin-vince-join-openai-boards

📰 NVIDIA - Make Long-Running NVIDIA TensorRT Engine Builds Observable and Cancelable in Python or C++
A TensorRT engine build can take seconds to many minutes. Large strongly typed models, deep tactic search, and a cold timing cache on a brand-new GPU SKU can…

https://developer.nvidia.com/blog/make-long-running-nvidia-tensorrt-engine-builds-observable-and-cancelable-in-python-or-c/

📰 HuggingFace - Bringing Nunchaku 4-bit Diffusion Inference to Diffusers


https://huggingface.co/blog/nunchaku-diffusers

🆕 [HF Models] tencent - Hy-MT2-30B-A3B-GGUF


https://huggingface.co/tencent/Hy-MT2-30B-A3B-GGUF

🔓 [HF Models] nvidia - Ising-Calibration-1.5-31B-BF16


https://huggingface.co/nvidia/Ising-Calibration-1.5-31B-BF16

🆕 [GitHub Repos] orgs/NVlabs - g2lf


https://github.com/NVlabs/g2lf

🆕 [GitHub Repos] orgs/NVIDIA - gdbscripts


https://github.com/NVIDIA/gdbscripts

📰 PyTorch - Helion on TPU: Towards Hardware Heterogeneous Kernel Authoring
TL;DR Helion is PyTorch’s high-level DSL for writing performance-portable ML kernels. Partnering with Google, we have built a TPU backend that compiles Helion kernels to Pallas, providing a PyTorch-friendly way...

https://pytorch.org/blog/helion-on-tpu-towards-hardware-heterogeneous-kernel-authoring/

📰 OpenAI - Launching Health in ChatGPT

https://openai.com/index/health-in-chatgpt


🔓 OpenAI - NTT DATA Group cuts incident analysis to 30 minutes with Codex

https://openai.com/index/ntt-data

📰 NVIDIA - Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes
Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a…

https://developer.nvidia.com/blog/start-customizing-nvidia-nemotron-3-nano-with-prime-intellect-lab-in-minutes/

🆕 [HF Models] microsoft - VibeVoice-ASR-BitNet


https://huggingface.co/microsoft/VibeVoice-ASR-BitNet

🆕 [HF Models] swiss-ai - Apertus-v1.5-70B

https://huggingface.co/swiss-ai/Apertus-v1.5-70B


🆕 [HF Models] swiss-ai - Apertus-v1.5-8B

https://huggingface.co/swiss-ai/Apertus-v1.5-8B

📰 Google AI Blog - Run Ray on TPU, Part 2: Ray AI libraries
This second installment explores how Ray’s higher-level libraries—Serve, Data, and Train—abstract the complexities of running AI workloads on Google's TPU slices. Ray Serve uses a simple topology configuration to correctly gang-schedule large multi-host models, while Ray Data eliminates data-loading bottlenecks by feeding accelerators directly with native JAX batches. Finally, JaxTrainer streamlines distributed training across TPUs by automatically handling cross-slice coordination, checkpointing, and fault tolerance.

https://developers.googleblog.com/en/run-ray-on-tpu-part-2-ray-ai-libraries/

🔓 xAI - Bringing Grok 4.5 to iOS, Android, Web, and X

https://x.ai//news/grok-4-5-everywhere


🔓 xAI - Workflows in Grok Build

https://x.ai//news/workflows


🔓 xAI - Grok in Google Workspace

https://x.ai//news/introducing-google-workspace-addon

🆕 [HF Models] nvidia - Cosmos-H-Dreams


https://huggingface.co/nvidia/Cosmos-H-Dreams

📰 NVIDIA - ModelExpress: Distributing Model Artifacts at the Speed of Light
Every byte moved has a cost. As model checkpoints grow to hundreds of gigabytes or even a terabyte, that cost adds up quickly. To make things even worse…

https://developer.nvidia.com/blog/modelexpress-distributing-model-artifacts-at-the-speed-of-light/

🔄 [GitHub Releases] sgl-project/sglang - v0.5.16


https://github.com/sgl-project/sglang/releases/tag/v0.5.16

🔄 [GitHub Releases] vllm-project/vllm - v0.26.0


https://github.com/vllm-project/vllm/releases/tag/v0.26.0