🆕 [HF Models] tencent - Hy-Embodied-0.5-VLA-RoboTwin
https://huggingface.co/tencent/Hy-Embodied-0.5-VLA-RoboTwin
🆕 [HF Models] tencent - Hy-Embodied-0.5-VLA-UMI
https://huggingface.co/tencent/Hy-Embodied-0.5-VLA-UMI
https://huggingface.co/tencent/Hy-Embodied-0.5-VLA-RoboTwin
🆕 [HF Models] tencent - Hy-Embodied-0.5-VLA-UMI
https://huggingface.co/tencent/Hy-Embodied-0.5-VLA-UMI
huggingface.co
tencent/Hy-Embodied-0.5-VLA-RoboTwin · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
🆕 [HF Models] microsoft - FastContext-1.0-4B-SFT
https://huggingface.co/microsoft/FastContext-1.0-4B-SFT
https://huggingface.co/microsoft/FastContext-1.0-4B-SFT
🆕 [HF Models] swiss-ai - Apertus-v1.1-1.5B-Instruct
https://huggingface.co/swiss-ai/Apertus-v1.1-1.5B-Instruct
🆕 [HF Models] swiss-ai - Apertus-v1.1-4B-Instruct
https://huggingface.co/swiss-ai/Apertus-v1.1-4B-Instruct
🆕 [HF Models] swiss-ai - Apertus-v1.1-0.5B-Instruct
https://huggingface.co/swiss-ai/Apertus-v1.1-0.5B-Instruct
🆕 [HF Models] swiss-ai - Apertus-v1.1-4B
https://huggingface.co/swiss-ai/Apertus-v1.1-4B
🔓 [HF Models] swiss-ai - Apertus-v1.1-1.5B
https://huggingface.co/swiss-ai/Apertus-v1.1-1.5B
https://huggingface.co/swiss-ai/Apertus-v1.1-1.5B-Instruct
🆕 [HF Models] swiss-ai - Apertus-v1.1-4B-Instruct
https://huggingface.co/swiss-ai/Apertus-v1.1-4B-Instruct
🆕 [HF Models] swiss-ai - Apertus-v1.1-0.5B-Instruct
https://huggingface.co/swiss-ai/Apertus-v1.1-0.5B-Instruct
🆕 [HF Models] swiss-ai - Apertus-v1.1-4B
https://huggingface.co/swiss-ai/Apertus-v1.1-4B
🔓 [HF Models] swiss-ai - Apertus-v1.1-1.5B
https://huggingface.co/swiss-ai/Apertus-v1.1-1.5B
huggingface.co
swiss-ai/Apertus-v1.1-1.5B-Instruct · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 LMSys - The next generation of speculative decoding: DFlash and Spec V2
https://lmsys.org/blog/2026-06-15-next-generation-speculative-decoding-dflash-v2
https://lmsys.org/blog/2026-06-15-next-generation-speculative-decoding-dflash-v2
www.lmsys.org
The next generation of speculative decoding: DFlash and Spec V2
Using Modal and Z Lab's DFlash speculative decoding models with SGLang’s newly default Spec V2 engine, you can achieve state-of-the-art latencies for LLM inference serving. Our new, jointly-released D...
📰 OpenAI - OpenAI Merchant Feed Terms of Service
https://openai.com/policies/merchant-feed-terms-of-service
📰 OpenAI - Introducing the OpenAI Partner Network
https://openai.com/index/introducing-openai-partner-network
🔓 OpenAI - Training to cycle across Antarctica with ChatGPT
https://openai.com/index/cycling-across-antarctica
https://openai.com/policies/merchant-feed-terms-of-service
📰 OpenAI - Introducing the OpenAI Partner Network
https://openai.com/index/introducing-openai-partner-network
🔓 OpenAI - Training to cycle across Antarctica with ChatGPT
https://openai.com/index/cycling-across-antarctica
OpenAI
OpenAI Merchant Feed Terms of Service
Review OpenAI Merchant Feed Terms of Service, including content requirements, data use, compliance policies, and rights for sharing product data.
📰 NVIDIA - Boosting MoE Training Throughput with Advanced Fusion Kernels
Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable…
https://developer.nvidia.com/blog/boosting-moe-training-throughput-with-advanced-fusion-kernels/
📰 NVIDIA - Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models
Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it…
https://developer.nvidia.com/blog/pretrained-to-imagine-fine-tuned-to-act-the-rise-of-world-action-models/
Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable…
https://developer.nvidia.com/blog/boosting-moe-training-throughput-with-advanced-fusion-kernels/
📰 NVIDIA - Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models
Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it…
https://developer.nvidia.com/blog/pretrained-to-imagine-fine-tuned-to-act-the-rise-of-world-action-models/
NVIDIA Technical Blog
Boosting MoE Training Throughput with Advanced Fusion Kernels
Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable substantially larger model capacity while…
🔓 [HF Models] inclusionAI - Ling-2.6-flash-base
https://huggingface.co/inclusionAI/Ling-2.6-flash-base
🔓 [HF Models] inclusionAI - Ling-2.6-1T-base
https://huggingface.co/inclusionAI/Ling-2.6-1T-base
https://huggingface.co/inclusionAI/Ling-2.6-flash-base
🔓 [HF Models] inclusionAI - Ling-2.6-1T-base
https://huggingface.co/inclusionAI/Ling-2.6-1T-base
huggingface.co
inclusionAI/Ling-2.6-flash-base · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 Google AI Blog - Unlocking the Power of the TPU Stack: Introducing our new Developer Hub
Google has officially launched the TPU Developer Hub, a centralized educational resource designed to help model builders and developers maximize the performance of Google Cloud TPUs. The hub offers code-first resources, open-source recipes, and deep-dive documentation covering hardware architecture, software optimization, debugging, parallelism, and networking. These materials are tailored for both human developers and AI-assisted tools to streamline everything from large-scale training to low-latency inference workloads.
https://developers.googleblog.com/en/unlocking-the-power-of-the-tpu-stack-introducing-our-new-developer-hub/
Google has officially launched the TPU Developer Hub, a centralized educational resource designed to help model builders and developers maximize the performance of Google Cloud TPUs. The hub offers code-first resources, open-source recipes, and deep-dive documentation covering hardware architecture, software optimization, debugging, parallelism, and networking. These materials are tailored for both human developers and AI-assisted tools to streamline everything from large-scale training to low-latency inference workloads.
https://developers.googleblog.com/en/unlocking-the-power-of-the-tpu-stack-introducing-our-new-developer-hub/
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Announcing the TPU Developer Hub: a code-first, agent-friendly resource for ML developers. Get actionable tutorials on hardware architecture, XProf debugging, and Pallas kernels.
📰 Claude Blog - Meet the winners of the Built with Opus 4.7 Claude Code hackathon
https://claude.com/blog/meet-the-winners-of-built-with-opus-4-7-claude-code-hackathon
https://claude.com/blog/meet-the-winners-of-built-with-opus-4-7-claude-code-hackathon
Claude
Meet the winners of the Built with Opus 4.7 Claude Code hackathon | Claude by Anthropic
We chatted with the winners of our Built with Opus 4.7 hackathon about their projects, tackling medical training, electronics repair, computer science education, interactive play, home repair, and factory maintenance.
📰 OpenAI - Predicting model behavior before release by simulating deployment
https://openai.com/index/deployment-simulation
https://openai.com/index/deployment-simulation
OpenAI
Predicting model behavior before release by simulating deployment
OpenAI introduces Deployment Simulation, a method to predict AI model behavior before deployment using real conversation data to improve safety and evaluation accuracy.
📰 NVIDIA - NVIDIA Blackwell Tops MLPerf Training 6.0 with Industry-Leading Scale and Performance
NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium.
https://developer.nvidia.com/blog/nvidia-blackwell-tops-mlperf-training-6-0-with-industry-leading-scale-and-performance/
NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium.
https://developer.nvidia.com/blog/nvidia-blackwell-tops-mlperf-training-6-0-with-industry-leading-scale-and-performance/
NVIDIA Technical Blog
NVIDIA Blackwell Tops MLPerf Training 6.0 with Industry-Leading Scale and Performance
NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium. NVIDIA achieved the fastest time to train…
🔓 Qwen Research - Qwen-RobotNav: A Scalable Navigation Model Designed for an Agentic Navigation System
https://qwen.ai/blog?id=qwen-robotnav
📰 Qwen Research - Qwen-RobotWorld: Boundless Worlds for Embodied Agents
https://qwen.ai/blog?id=qwen-robotworld
📰 Qwen Research - Qwen-RobotManip: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
https://qwen.ai/blog?id=qwen-robotmanip
📰 Qwen Research - Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence
https://qwen.ai/blog?id=qwen-robotsuite
https://qwen.ai/blog?id=qwen-robotnav
📰 Qwen Research - Qwen-RobotWorld: Boundless Worlds for Embodied Agents
https://qwen.ai/blog?id=qwen-robotworld
📰 Qwen Research - Qwen-RobotManip: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
https://qwen.ai/blog?id=qwen-robotmanip
📰 Qwen Research - Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence
https://qwen.ai/blog?id=qwen-robotsuite
qwen.ai
Qwen Studio
Qwen Studio offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
📰 HuggingFace - GLM-5.2: Built for Long-Horizon Tasks
https://huggingface.co/blog/zai-org/glm-52-blog
https://huggingface.co/blog/zai-org/glm-52-blog
huggingface.co
GLM-5.2: Built for Long-Horizon Tasks
A Blog post by Z.ai on Hugging Face
📰 HuggingFace - From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot
https://huggingface.co/blog/amazon/strands-lerobot-hub-to-hardware
https://huggingface.co/blog/amazon/strands-lerobot-hub-to-hardware
huggingface.co
From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot
A Blog post by Amazon on Hugging Face
📰 HuggingFace - MolmoMotion: Language-guided 3D motion forecasting
https://huggingface.co/blog/allenai/molmomotion
https://huggingface.co/blog/allenai/molmomotion
huggingface.co
MolmoMotion: Language-guided 3D motion forecasting
A Blog post by Ai2 on Hugging Face
🔓 HuggingFace - Agentic Resource Discovery: Let agents search
https://huggingface.co/blog/agentic-resource-discovery-launch
https://huggingface.co/blog/agentic-resource-discovery-launch
huggingface.co
Agentic Resource Discovery: Let agents search
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 PyTorch - Nominations Open for the 2026 PyTorch Foundation Contributor Awards
Nominations are now open for the 2026 PyTorch Foundation Contributor Awards! These awards recognize outstanding individuals whose contributions help strengthen PyTorch Foundation-hosted projects, including PyTorch, vLLM, DeepSpeed, Ray, Helion, and...
https://pytorch.org/blog/nominations-open-for-the-2026-pytorch-foundation-contributor-awards/
Nominations are now open for the 2026 PyTorch Foundation Contributor Awards! These awards recognize outstanding individuals whose contributions help strengthen PyTorch Foundation-hosted projects, including PyTorch, vLLM, DeepSpeed, Ray, Helion, and...
https://pytorch.org/blog/nominations-open-for-the-2026-pytorch-foundation-contributor-awards/