🆕 [HF Models] nvidia - gr00t17-lerobot-libero_10-640

https://huggingface.co/nvidia/gr00t17-lerobot-libero_10-640


🆕 [HF Models] nvidia - gr00t17-lerobot-libero_object-640

https://huggingface.co/nvidia/gr00t17-lerobot-libero_object-640


🆕 [HF Models] nvidia - gr00t17-lerobot-libero_spatial-640

https://huggingface.co/nvidia/gr00t17-lerobot-libero_spatial-640


🆕 [HF Models] nvidia - gr00t17-lerobot-libero_goal-640


https://huggingface.co/nvidia/gr00t17-lerobot-libero_goal-640

🔄 [GitHub Releases] invoke-ai/InvokeAI - InvokeAI v6.13.6


https://github.com/invoke-ai/InvokeAI/releases/tag/v6.13.6

📰 HuggingFace - 🤗 Kernels: Major Updates


https://huggingface.co/blog/revamped-kernels

🆕 [HF Models] tencent - Hy3


https://huggingface.co/tencent/Hy3

📰 HuggingFace - LeRobot v0.6.0: Imagine, Evaluate, Improve


https://huggingface.co/blog/lerobot-release-v060

🔓 HuggingFace - PRX Part 4: Our Data Strategy


https://huggingface.co/blog/Photoroom/prx-part4-data

📰 Google AI Blog - We terminated a TPU mid-training and it recovered in seconds: Introduction to elastic training with MaxText
Distributed AI training is notoriously fragile because losing a single machine typically crashes the entire multi-node job, forcing a time-consuming, full-workload infrastructure restart. To address this, Google’s JAX ecosystem utilizes elastic training via Pathways, which converts a hardware failure into a catchable Python exception so the running process can survive. When an unplanned failure occurs, the system automatically replaces only the broken worker, restores the last viable checkpoint from Cloud Storage, and resumes training in place—minimizing total downtime to under two minutes without ever restarting the main controller process.

https://developers.googleblog.com/en/we-terminated-a-tpu-mid-training-and-it-recovered-in-seconds-introduction-to-elastic-training-with-maxtext/

📰 LMSys - DSpark in SGLang: Speculative Decoding with Confidence-Driven, Variable-Length Verification


https://lmsys.org/blog/2026-07-06-dspark-sglang

📰 Anthropic Research - A global workspace in language models


https://www.anthropic.com/research/global-workspace

📰 Anthropic - Government of Alberta uses Claude to find and fix cybersecurity vulnerabilities across government systems


https://www.anthropic.com/news/alberta-government-claude-cybersecurity

📰 PyTorch - Bringing PyTorch Monarch to AMD GPUs: Single-Controller Distributed Training on ROCm
Training state-of-the-art large language models (LLMs) with billions of parameters requires distributed training across hundreds or thousands of GPUs. At this scale, hardware failures are not exceptional events—they are expected....

https://pytorch.org/blog/bringing-pytorch-monarch-to-amd-gpus-single-controller-distributed-training-on-rocm/

🆕 [HF Models] nvidia - Nemotron-Labs-Audex-2B

https://huggingface.co/nvidia/Nemotron-Labs-Audex-2B


🆕 [HF Models] nvidia - Nemotron-Labs-Audex-30B-A3B

https://huggingface.co/nvidia/Nemotron-Labs-Audex-30B-A3B

🔓 [HF Models] nvidia - NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-BF16


https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-BF16

🆕 [HF Models] CohereLabs - cohere-transcribe-arabic-07-2026


https://huggingface.co/CohereLabs/cohere-transcribe-arabic-07-2026

📰 HuggingFace - Hugging Face Models on Foundry Managed Compute


https://huggingface.co/blog/microsoft/foundry-managed-compute

🔓 HuggingFace - Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot


https://huggingface.co/blog/skypilot-hf-storage

📰 Meta AI - Introducing Muse Image and Muse Video
Muse Image follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. Muse Video delivers exceptional visual fidelity with native audio support.

https://ai.meta.com/blog/introducing-muse-image-muse-video-msl/

📰 OpenAI - Australian Payments Plus moves faster with ChatGPT and Codex


https://openai.com/index/australian-payments-plus

📰 HuggingFace - From Hugging Face to Amazon SageMaker Studio in one click


https://huggingface.co/blog/amazon/one-click-to-sagemaker-studio

🆕 [HF Models] nvidia - CWIP-1.0


https://huggingface.co/nvidia/CWIP-1.0

📰 NVIDIA - Building an Analysis AI Agent for Industrial Alarm Management with NVIDIA Nemotron
Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context…

https://developer.nvidia.com/blog/building-an-analysis-ai-agent-for-industrial-alarm-management-with-nvidia-nemotron/


📰 NVIDIA - NVIDIA Vera CPU Boosts AI Factory Throughput to Accelerate Agentic Workloads
Agentic systems turn model reasoning into action through multi-step workflows that combine inference, tool use, code execution, retrieval, orchestration…

https://developer.nvidia.com/blog/nvidia-vera-cpu-boosts-ai-factory-throughput-to-accelerate-agentic-workloads/