🔓 [HF Models] ByteDance - Sa2VA-Qwen3-VL-4B-SAM3

https://huggingface.co/ByteDance/Sa2VA-Qwen3-VL-4B-SAM3


🔓 [HF Models] ByteDance - Sa2VA-LLaVA-1.5-7B

https://huggingface.co/ByteDance/Sa2VA-LLaVA-1.5-7B

❌ [HF Models] FunAudioLLM - InspireMusic-1.5B

https://huggingface.co/FunAudioLLM/InspireMusic-1.5B

📰 NVIDIA - How to Self-Host a Validated AI Coding Assistant with NVIDIA NeMo Guardrails
Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source…

https://developer.nvidia.com/blog/how-to-self-host-a-validated-ai-coding-assistant-with-nvidia-nemo-guardrails/

📰 LMSys - Towards Blackwell-Native 8-bit and 4-bit RL: End-to-End MXFP8 and NVFP4 RL in Miles


https://lmsys.org/blog/2026-07-29-mxfp8-nvfp4-rl

📰 HuggingFace - GPU Management: Why Idle GPUs Are the New Grounded Aircraft


https://huggingface.co/blog/Dharma-AI/gpu-management

📰 PyTorch - FBTriton Infra: Upstream Ingestion, Hierarchical Validation, Ideals vs Realities
TL:DR Learn how Meta’s FBTriton infrastructure powers custom GPU compiler innovations like TLX and autoWS while staying synced with upstream Triton using agentic ingestion and a stratified L1/L2/L3 validation framework....

https://pytorch.org/blog/fbtriton-infra-upstream-ingestion-hierarchical-validation-ideals-vs-realities/

🆕 [GitHub Repos] orgs/NVlabs - ACE-RTL


https://github.com/NVlabs/ACE-RTL

🔓 Google Model Cards - Gemini Robotics On-Device 2

https://deepmind.google/models/model-cards/gemini-robotics-on-device-2/


🔓 Google Model Cards - Gemini Robotics-ER 2

https://deepmind.google/models/model-cards/gemini-robotics-er-2/

📰 Google DeepMind - Introducing Gemini Robotics ER 2


https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-robotics-er-2/

📰 LMSys - RadixArk Joins Forces with Google to Bring Full SGLang Features to TPUs


https://lmsys.org/blog/2026-07-30-sglang-google-tpu

📰 Google Labs - Take a look at short films created by our latest group of artists in Google’s Flow Sessions program.


https://blog.google/innovation-and-ai/models-and-research/google-labs/google-flow-sessions-short-films/

📰 NVIDIA - Four Ways to Deploy More Secure AI Agents
Knowledge workers are increasingly integrating AI agents into their workflows. Agents that function as “digital coworkers” offer clear benefits. For example…

https://developer.nvidia.com/blog/four-ways-to-deploy-more-secure-ai-agents/

🔄 [GitHub Releases] PygmalionAI/aphrodite-engine - v0.23.0


https://github.com/dphnAI/sonar/releases/tag/v0.23.0

🆕 [HF Models] meituan-longcat - LongCat-Flash-Lite-Sparse


https://huggingface.co/meituan-longcat/LongCat-Flash-Lite-Sparse

🆕 [HF Models] deepseek-ai - DeepSeek-V4-Flash-0731


https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731

📰 NVIDIA - Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference
As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1).

https://developer.nvidia.com/blog/co-designing-ai-model-attention-for-fast-interactive-long-context-inference/


📰 NVIDIA - Run High-Performance Core Math at Scale with NVIDIA nvmath-python
NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users…

https://developer.nvidia.com/blog/run-high-performance-core-math-at-scale-with-nvidia-nvmath-python/

🔄 [GitHub Releases] invoke-ai/InvokeAI - InvokeAI 6.14.0 (release candidate 1)


https://github.com/invoke-ai/InvokeAI/releases/tag/v6.14.0-rc1

🔄 [GitHub Releases] turboderp-org/exllamav3 - 1.3.0


https://github.com/turboderp-org/exllamav3/releases/tag/v1.3.0

📰 xAI - Imagine Video 1.5 with References


https://x.ai/news/grok-imagine-video-1-5-references

📰 Google AI Blog - Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA
Agent Platform's evaluation service is now generally available, providing developers with a unified engine to measure agent quality consistently across local development experiments and live production traffic. You can evaluate agents using over 20 pre-built metrics, DeepMind-backed adaptive rubrics, or custom code-based and LLM-as-a-judge metrics stored in a centralized, versioned registry. The service integrates directly into existing workflows via the Agent Platform SDK, agents-cli, and ADK, offering built-in user and environment simulators to automate complex multi-turn testing and streamline CI pipelines.

https://developers.googleblog.com/en/agent-and-model-evaluations-in-gemini-enterprise-agent-platform-are-now-ga/

📰 Anthropic - Investigating three real-world incidents in our cybersecurity evaluations


https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals