📰 LMSys - Serving GLM5.2 NVFP4 Agentic Workload with SGLang: Reaching 500 TPS in 2 Weeks
https://lmsys.org/blog/2026-07-13-glm52-optimization
https://lmsys.org/blog/2026-07-13-glm52-optimization
www.lmsys.org
Serving GLM5.2 NVFP4 Agentic Workload with SGLang: Reaching 500 TPS in 2 Weeks
- More than 500 TPS on 8xB300 (bs=1)
- Sync free speculative decoding for GLM 5.2 MTP
- Built-in IndexShare MTP with Spec V2
- 2.33x faster TopK-V2 for ISL 80k
- Indexer prologue fusion
- Gemm kernels...
- Sync free speculative decoding for GLM 5.2 MTP
- Built-in IndexShare MTP with Spec V2
- 2.33x faster TopK-V2 for ISL 80k
- Indexer prologue fusion
- Gemm kernels...
📰 OpenAI - How to manage AI investments in the agentic era
https://openai.com/index/managing-ai-investments-in-agentic-era
📰 OpenAI - How data science teams use ChatGPT Work
https://openai.com/academy/codex-for-work/how-data-science-teams-use-codex
📰 OpenAI - How sales teams use ChatGPT Work
https://openai.com/academy/codex-for-work/how-sales-teams-use-codex
https://openai.com/index/managing-ai-investments-in-agentic-era
📰 OpenAI - How data science teams use ChatGPT Work
https://openai.com/academy/codex-for-work/how-data-science-teams-use-codex
📰 OpenAI - How sales teams use ChatGPT Work
https://openai.com/academy/codex-for-work/how-sales-teams-use-codex
OpenAI
How to manage AI investments in the agentic era
Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.
📰 NVIDIA - Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning
The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when…
https://developer.nvidia.com/blog/lessons-from-the-leaderboard-what-5000-kagglers-taught-us-about-improving-ai-reasoning/
📰 NVIDIA - How to Run an Autoresearch Workflow with RL Agent Skills and NVIDIA NeMo
Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes…
https://developer.nvidia.com/blog/how-to-run-an-autoresearch-workflow-with-rl-agent-skills-and-nvidia-nemo/
📰 NVIDIA - Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills
What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning…
https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills/
The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when…
https://developer.nvidia.com/blog/lessons-from-the-leaderboard-what-5000-kagglers-taught-us-about-improving-ai-reasoning/
📰 NVIDIA - How to Run an Autoresearch Workflow with RL Agent Skills and NVIDIA NeMo
Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes…
https://developer.nvidia.com/blog/how-to-run-an-autoresearch-workflow-with-rl-agent-skills-and-nvidia-nemo/
📰 NVIDIA - Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills
What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning…
https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills/
NVIDIA Technical Blog
Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning
The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when everyone starts from the same open model…
🆕 [HF Models] microsoft - bitnet-embedding-0.6b
https://huggingface.co/microsoft/bitnet-embedding-0.6b
🆕 [HF Models] microsoft - bitnet-embedding-270m
https://huggingface.co/microsoft/bitnet-embedding-270m
https://huggingface.co/microsoft/bitnet-embedding-0.6b
🆕 [HF Models] microsoft - bitnet-embedding-270m
https://huggingface.co/microsoft/bitnet-embedding-270m
huggingface.co
microsoft/bitnet-embedding-0.6b · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 HuggingFace - Introducing Real World VoiceEQ: Measuring the human quality of voice AI
https://huggingface.co/blog/real-world-voiceeq
https://huggingface.co/blog/real-world-voiceeq
📰 PyTorch - Triton Plugin Extensions: Enabling TLX and Custom Compiler Passes Out of the Box
TLDR The PyTorch-Triton 3.7 release introduces the Triton Plugin Extensions system, a framework for dynamically loading custom compiler passes, dialects (including their ops), and DSL extensions into upstream Triton at...
https://pytorch.org/blog/triton-plugin-extensions-enabling-tlx-and-custom-compiler-passes-out-of-the-box/
TLDR The PyTorch-Triton 3.7 release introduces the Triton Plugin Extensions system, a framework for dynamically loading custom compiler passes, dialects (including their ops), and DSL extensions into upstream Triton at...
https://pytorch.org/blog/triton-plugin-extensions-enabling-tlx-and-custom-compiler-passes-out-of-the-box/
📰 HuggingFace - What building Shippy taught us about building agents
https://huggingface.co/blog/allenai/shippy-tech-blog
📰 HuggingFace - Model Routing Is Simple. Until It Isn’t.
https://huggingface.co/blog/ibm-research/model-routing-is-simple-until-it-isnt
https://huggingface.co/blog/allenai/shippy-tech-blog
📰 HuggingFace - Model Routing Is Simple. Until It Isn’t.
https://huggingface.co/blog/ibm-research/model-routing-is-simple-until-it-isnt
📰 LMSys - SGLang and Miles Add Day-0 Support for Inkling, a Frontier Multimodal Model
https://lmsys.org/blog/2026-07-15-inkling-day0-support
https://lmsys.org/blog/2026-07-15-inkling-day0-support
www.lmsys.org
SGLang and Miles Add Day-0 Support for Inkling, a Frontier Multimodal Model
We're excited to partner with the Thinking Machines team to bring Day-0 support for Inkling to SGLang and Miles, with dedicated optimizations for its new architecture and broad feature coverage, and w...
🔓 HuggingFace - Welcome Inkling by Thinking Machines
https://huggingface.co/blog/thinkingmachines-inkling
https://huggingface.co/blog/thinkingmachines-inkling
huggingface.co
Welcome Inkling by Thinking Machines
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 Anthropic Research - How Canada uses Claude: Findings from the Anthropic Economic Index
https://www.anthropic.com/research/how-canada-uses-claude
https://www.anthropic.com/research/how-canada-uses-claude
Anthropic
How Canada uses Claude: Findings from the Anthropic Economic Index
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
📰 Anthropic - Introducing Claude for Teachers
https://www.anthropic.com/news/claude-for-teachers
📰 Anthropic - Anthropic commits $10 million to Canadian AI research
https://www.anthropic.com/news/canadian-ai-research
https://www.anthropic.com/news/claude-for-teachers
📰 Anthropic - Anthropic commits $10 million to Canadian AI research
https://www.anthropic.com/news/canadian-ai-research
Anthropic
Introducing Claude for Teachers
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
📰 OpenAI - The US is advancing AI safety through state and federal action
https://openai.com/index/advancing-ai-safety-through-state-and-federal-action
📰 OpenAI - GPT-Red: Unlocking Self-Improvement for Robustness
https://openai.com/index/unlocking-self-improvement-gpt-red
📰 OpenAI - Our approach to public policy
https://openai.com/company/public-policy
📰 OpenAI - Ad policies
https://openai.com/policies/ad-policies
https://openai.com/index/advancing-ai-safety-through-state-and-federal-action
📰 OpenAI - GPT-Red: Unlocking Self-Improvement for Robustness
https://openai.com/index/unlocking-self-improvement-gpt-red
📰 OpenAI - Our approach to public policy
https://openai.com/company/public-policy
📰 OpenAI - Ad policies
https://openai.com/policies/ad-policies
OpenAI
The US is advancing AI safety through state and federal action
OpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI.
📰 HuggingFace - Security incident disclosure — July 2026
https://huggingface.co/blog/security-incident-july-2026
https://huggingface.co/blog/security-incident-july-2026
huggingface.co
Security incident disclosure — July 2026
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
📰 HuggingFace - Newer Models, Same Advantage
https://huggingface.co/blog/Dharma-AI/newer-models-same-advantages
https://huggingface.co/blog/Dharma-AI/newer-models-same-advantages
huggingface.co
Newer Models, Same Advantage
A Blog post by Dharma-AI on Hugging Face
📰 HuggingFace - NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
https://huggingface.co/blog/nvidia/nemotron-3-embed-wins-rteb
https://huggingface.co/blog/nvidia/nemotron-3-embed-wins-rteb
huggingface.co
NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
A Blog post by NVIDIA on Hugging Face
📰 Google AI Blog - Expanding Choice in Gemini Enterprise Agent Platform: Introducing Grounding with Parallel Web Search
Google Cloud has partnered with Parallel Web Systems to natively integrate Parallel's search infrastructure as a web grounding provider on the Gemini Enterprise Agent Platform. This integration enables developers to anchor their AI agents in verifiable, real-time web results, significantly improving factual accuracy for complex enterprise workflows. Additionally, the partnership offers expanded architectural flexibility, allowing users to programmatically extract, permanently cache, and process web data alongside other large language models.
https://developers.googleblog.com/en/expanding-choice-in-gemini-enterprise-agent-platform-introducing-grounding-with-parallel-web-search/
Google Cloud has partnered with Parallel Web Systems to natively integrate Parallel's search infrastructure as a web grounding provider on the Gemini Enterprise Agent Platform. This integration enables developers to anchor their AI agents in verifiable, real-time web results, significantly improving factual accuracy for complex enterprise workflows. Additionally, the partnership offers expanded architectural flexibility, allowing users to programmatically extract, permanently cache, and process web data alongside other large language models.
https://developers.googleblog.com/en/expanding-choice-in-gemini-enterprise-agent-platform-introducing-grounding-with-parallel-web-search/
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Ground Gemini models with real-time web data using Parallel Web Systems. Extract, cache, and post-process search results for complex multi-agent architectures.