๐ฐ Claude Blog - Working at the frontier: How Thomson Reuters builds AI for high-stakes professional work
https://claude.com/blog/working-at-the-frontier-how-thomson-reuters-builds-ai-for-high--stakes-professional-work
๐ฐ Claude Blog - How Anthropic's marketing operations team uses Claude Cowork to automate reporting and campaign builds
https://claude.com/blog/how-anthropics-marketing-operations-team-uses-claude-cowork-to-automate-reporting-and-campaign-builds
๐ฐ Claude Blog - Bringing Claude Code and Claude Cowork to government
https://claude.com/blog/bringing-claude-code-and-claude-cowork-to-government
๐ฐ Claude Blog - Choosing a Claude model and effort level in Claude Code
https://claude.com/blog/claude-model-and-effort-level-in-claude-code
๐ฐ Claude Blog - Claude Cowork is coming to mobile and web
https://claude.com/blog/cowork-web-mobile
๐ฐ Claude Blog - How people are using Claude Cowork
https://claude.com/blog/how-people-are-using-claude-cowork
๐ฐ Claude Blog - A field guide to Claude Fable 5: Finding your unknowns
https://claude.com/blog/a-field-guide-to-claude-fable-finding-your-unknowns
https://claude.com/blog/working-at-the-frontier-how-thomson-reuters-builds-ai-for-high--stakes-professional-work
๐ฐ Claude Blog - How Anthropic's marketing operations team uses Claude Cowork to automate reporting and campaign builds
https://claude.com/blog/how-anthropics-marketing-operations-team-uses-claude-cowork-to-automate-reporting-and-campaign-builds
๐ฐ Claude Blog - Bringing Claude Code and Claude Cowork to government
https://claude.com/blog/bringing-claude-code-and-claude-cowork-to-government
๐ฐ Claude Blog - Choosing a Claude model and effort level in Claude Code
https://claude.com/blog/claude-model-and-effort-level-in-claude-code
๐ฐ Claude Blog - Claude Cowork is coming to mobile and web
https://claude.com/blog/cowork-web-mobile
๐ฐ Claude Blog - How people are using Claude Cowork
https://claude.com/blog/how-people-are-using-claude-cowork
๐ฐ Claude Blog - A field guide to Claude Fable 5: Finding your unknowns
https://claude.com/blog/a-field-guide-to-claude-fable-finding-your-unknowns
Claude
Working at the frontier: How Thomson Reuters builds AI for high- stakes professional work | Claude by Anthropic
Why the team at Thomson Reuters considers Claude Fable 5 a critical evolution in whatโs possible with AI for knowledge work.โ
๐ฐ Anthropic Research - An off switch for dual-use knowledge in AI models
https://www.anthropic.com/research/off-switch-dual-use
https://www.anthropic.com/research/off-switch-dual-use
Anthropic
An off switch for dual-use knowledge in AI models
New results on a method of controlling access to potentially dangerous AI capabilities
๐ฐ Anthropic - Inviting hard questions
https://www.anthropic.com/news/hard-questions
๐ฐ Anthropic - Ben Bernanke appointed to Anthropicโs Long-Term Benefit Trust
https://www.anthropic.com/news/ben-bernanke
๐ฐ Anthropic - Introducing a way to reflect on how you use Claude
https://www.anthropic.com/news/reflect-with-claude
https://www.anthropic.com/news/hard-questions
๐ฐ Anthropic - Ben Bernanke appointed to Anthropicโs Long-Term Benefit Trust
https://www.anthropic.com/news/ben-bernanke
๐ฐ Anthropic - Introducing a way to reflect on how you use Claude
https://www.anthropic.com/news/reflect-with-claude
Anthropic
Inviting hard questions
We're asking the public for their hardest questions about AI, and committing to show our work as we address them.
๐ฐ OpenAI - GPT-5.6 is now the preferred model in Microsoft 365 Copilot
https://openai.com/index/gpt-5-6-preferred-model-microsoft-365-copilot
๐ OpenAI - GPT-5.6 System Card
https://deploymentsafety.openai.com/gpt-5-6
https://openai.com/index/gpt-5-6-preferred-model-microsoft-365-copilot
๐ OpenAI - GPT-5.6 System Card
https://deploymentsafety.openai.com/gpt-5-6
OpenAI
GPT-5.6 is now the preferred model in Microsoft 365 Copilot
Learn how GPT-5.6 powers Microsoft 365 Copilot with stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork for faster, higher-quality work.
๐ [HF Models] nvidia - Kimi-K2.7-Code-DFlash
https://huggingface.co/nvidia/Kimi-K2.7-Code-DFlash
๐ [HF Models] nvidia - ARDY-Core-RP-20FPS-Horizon40
https://huggingface.co/nvidia/ARDY-Core-RP-20FPS-Horizon40
๐ [HF Models] nvidia - ARDY-G1-RP-25FPS-Horizon52
https://huggingface.co/nvidia/ARDY-G1-RP-25FPS-Horizon52
๐ [HF Models] nvidia - ARDY-Core-RP-20FPS-Horizon8
https://huggingface.co/nvidia/ARDY-Core-RP-20FPS-Horizon8
๐ [HF Models] nvidia - ARDY-G1-RP-25FPS-Horizon8
https://huggingface.co/nvidia/ARDY-G1-RP-25FPS-Horizon8
https://huggingface.co/nvidia/Kimi-K2.7-Code-DFlash
๐ [HF Models] nvidia - ARDY-Core-RP-20FPS-Horizon40
https://huggingface.co/nvidia/ARDY-Core-RP-20FPS-Horizon40
๐ [HF Models] nvidia - ARDY-G1-RP-25FPS-Horizon52
https://huggingface.co/nvidia/ARDY-G1-RP-25FPS-Horizon52
๐ [HF Models] nvidia - ARDY-Core-RP-20FPS-Horizon8
https://huggingface.co/nvidia/ARDY-Core-RP-20FPS-Horizon8
๐ [HF Models] nvidia - ARDY-G1-RP-25FPS-Horizon8
https://huggingface.co/nvidia/ARDY-G1-RP-25FPS-Horizon8
๐ฐ NVIDIA - Synthetic Data Generation for Financial AI Research with NVIDIA NeMo
Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earningsโฆ
https://developer.nvidia.com/blog/synthetic-data-generation-for-financial-ai-research-with-nvidia-nemo/
Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earningsโฆ
https://developer.nvidia.com/blog/synthetic-data-generation-for-financial-ai-research-with-nvidia-nemo/
NVIDIA Technical Blog
Synthetic Data Generation for Financial AI Research with NVIDIA NeMo
Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings and stock movementsโฆ
๐ [HF Models] inclusionAI - SingGuard-0.8b-GGUF
https://huggingface.co/inclusionAI/SingGuard-0.8b-GGUF
๐ [HF Models] inclusionAI - SingGuard-2b
https://huggingface.co/inclusionAI/SingGuard-2b
๐ [HF Models] inclusionAI - SingGuard-8b
https://huggingface.co/inclusionAI/SingGuard-8b
๐ [HF Models] inclusionAI - SingGuard-4b
https://huggingface.co/inclusionAI/SingGuard-4b
๐ [HF Models] inclusionAI - SingGuard-8b-GGUF
https://huggingface.co/inclusionAI/SingGuard-8b-GGUF
๐ [HF Models] inclusionAI - SingGuard-4b-GGUF
https://huggingface.co/inclusionAI/SingGuard-4b-GGUF
๐ [HF Models] inclusionAI - SingGuard-2b-GGUF
https://huggingface.co/inclusionAI/SingGuard-2b-GGUF
๐ [HF Models] inclusionAI - SingGuard-0.8b
https://huggingface.co/inclusionAI/SingGuard-0.8b
https://huggingface.co/inclusionAI/SingGuard-0.8b-GGUF
๐ [HF Models] inclusionAI - SingGuard-2b
https://huggingface.co/inclusionAI/SingGuard-2b
๐ [HF Models] inclusionAI - SingGuard-8b
https://huggingface.co/inclusionAI/SingGuard-8b
๐ [HF Models] inclusionAI - SingGuard-4b
https://huggingface.co/inclusionAI/SingGuard-4b
๐ [HF Models] inclusionAI - SingGuard-8b-GGUF
https://huggingface.co/inclusionAI/SingGuard-8b-GGUF
๐ [HF Models] inclusionAI - SingGuard-4b-GGUF
https://huggingface.co/inclusionAI/SingGuard-4b-GGUF
๐ [HF Models] inclusionAI - SingGuard-2b-GGUF
https://huggingface.co/inclusionAI/SingGuard-2b-GGUF
๐ [HF Models] inclusionAI - SingGuard-0.8b
https://huggingface.co/inclusionAI/SingGuard-0.8b
huggingface.co
inclusionAI/SingGuard-0.8b-GGUF ยท Hugging Face
Weโre on a journey to advance and democratize artificial intelligence through open source and open science.
๐ฐ HuggingFace - Profiling in PyTorch (Part 3): Attention is all you profile
https://huggingface.co/blog/torch-attention-profile
https://huggingface.co/blog/torch-attention-profile
huggingface.co
Profiling in PyTorch (Part 3): Attention is all you profile
Weโre on a journey to advance and democratize artificial intelligence through open source and open science.
๐ฐ OpenAI - How Deutsche Telekom is rewiring telecommunications with AI
https://openai.com/index/deutsche-telekom
https://openai.com/index/deutsche-telekom
OpenAI
How Deutsche Telekom is rewiring telecommunications with AI
How Deutsche Telekom is becoming an AI-native telco with OpenAI-transforming customer service, employee workflows, network operations, and the future of voice.
๐ฐ PyTorch - Towards Free Normalization: Fusing Normalization into GEMM and Attention Kernels
Code available at: https://github.com/facebookresearch/ads_model_kernel_library/tree/main/multi_cta_norm_fusion and https://github.com/facebookresearch/ads_model_kernel_library/tree/main/gdpa_megakernel TL;DR In this blog post, we present various novel kernel fusion techniques for common normalization ops like LayerNorm and RMSNorm, which provide significant speedup...
https://pytorch.org/blog/towards-free-normalization-fusing-normalization-into-gemm-and-attention-kernels/
Code available at: https://github.com/facebookresearch/ads_model_kernel_library/tree/main/multi_cta_norm_fusion and https://github.com/facebookresearch/ads_model_kernel_library/tree/main/gdpa_megakernel TL;DR In this blog post, we present various novel kernel fusion techniques for common normalization ops like LayerNorm and RMSNorm, which provide significant speedup...
https://pytorch.org/blog/towards-free-normalization-fusing-normalization-into-gemm-and-attention-kernels/
GitHub
ads_model_kernel_library/multi_cta_norm_fusion at main ยท facebookresearch/ads_model_kernel_library
High-performance GPU kernels for Ads and Recsys model training, independently implemented and optimized for real-world workloads and model-specific input characteristics. - facebookresearch/ads_mod...
โค1
๐ฐ Google AI Blog - LiteRT.js, Google's high performance Web AI Inference
We're excited to introduce LiteRT.js, the newest member of the LiteRT family! LiteRT.js is our powerful solution for running machine learning models directly in the browser, extending Google's cross-platform edge AI runtime to the web. Built for JavaScript developers, LiteRT.js delivers state-of-the-art ML model inference performance on WebGPU and upcoming WebNN, with a fallback to WebAssembly for CPU. This post provides a quick tour of LiteRT.js and gives web developers everything they need to get started.
https://developers.googleblog.com/en/litertjs-googles-high-performance-web-ai-inference/
We're excited to introduce LiteRT.js, the newest member of the LiteRT family! LiteRT.js is our powerful solution for running machine learning models directly in the browser, extending Google's cross-platform edge AI runtime to the web. Built for JavaScript developers, LiteRT.js delivers state-of-the-art ML model inference performance on WebGPU and upcoming WebNN, with a fallback to WebAssembly for CPU. This post provides a quick tour of LiteRT.js and gives web developers everything they need to get started.
https://developers.googleblog.com/en/litertjs-googles-high-performance-web-ai-inference/
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Meet LiteRT.js: Googleโs edge AI runtime for the web. Run ML models directly in the browser with high-performance WebGPU, WebNN, and WebAssembly.
๐ฐ LMSys - Bringing DeepSeek-V4 Flash RL Training to AMD Instinct MI355X GPUs with Miles
https://lmsys.org/blog/2026-07-10-rocm-miles-dsv4
https://lmsys.org/blog/2026-07-10-rocm-miles-dsv4
www.lmsys.org
Bringing DeepSeek-V4 Flash RL Training to AMD Instinct MI355X GPUs with Miles
DeepSeek-V4 RL is now supported in Miles on AMD Instinctโข MI355X GPUs with ROCmโข! RL requires SGLang rollout and Megatron training to implement the same policy closely enough that token probabilities ...
๐ฐ Claude Blog - Working at the frontier: How Cognition trusts Claude Fable 5 to work through the night
https://claude.com/blog/working-at-the-frontier-how-cognition-trusts-claude-fable-5-to-work-through-the-night
https://claude.com/blog/working-at-the-frontier-how-cognition-trusts-claude-fable-5-to-work-through-the-night
Claude
Working at the frontier: How Cognition trusts Claude Fable 5 to work through the night | Claude by Anthropic
Cognition tested Claude Fable 5 in Devin, its AI software engineer. It's the first model its team trusts to run unattended for eight hours and deliver production-ready code.
๐ฐ NVIDIA - Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading
Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer statesโฆ
https://developer.nvidia.com/blog/reducing-high-bandwidth-memory-bottlenecks-in-jax-based-llm-training-with-host-offloading/
๐ฐ NVIDIA - AI Model Co-Design: Hardware-Friendly LLM Design
AI performance comes down to three dimensions: Deployments must balance all three: High accuracy is wasted if responses are slow, and raw throughput meansโฆ
https://developer.nvidia.com/blog/ai-model-co-design-hardware-friendly-llm-design/
๐ฐ NVIDIA - Accelerating End-to-End Co-Folding Performance with NVIDIA BioNeMo Agent Toolkit
Biomolecular structure prediction and co-folding with models like OpenFold3 are now mainstream, large-scale workloads powering drug discovery and protein design.
https://developer.nvidia.com/blog/accelerating-end-to-end-co-folding-performance-with-nvidia-bionemo-agent-toolkit/
Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer statesโฆ
https://developer.nvidia.com/blog/reducing-high-bandwidth-memory-bottlenecks-in-jax-based-llm-training-with-host-offloading/
๐ฐ NVIDIA - AI Model Co-Design: Hardware-Friendly LLM Design
AI performance comes down to three dimensions: Deployments must balance all three: High accuracy is wasted if responses are slow, and raw throughput meansโฆ
https://developer.nvidia.com/blog/ai-model-co-design-hardware-friendly-llm-design/
๐ฐ NVIDIA - Accelerating End-to-End Co-Folding Performance with NVIDIA BioNeMo Agent Toolkit
Biomolecular structure prediction and co-folding with models like OpenFold3 are now mainstream, large-scale workloads powering drug discovery and protein design.
https://developer.nvidia.com/blog/accelerating-end-to-end-co-folding-performance-with-nvidia-bionemo-agent-toolkit/
NVIDIA Technical Blog
Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading
Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer states, communication buffersโฆ
๐ [GitHub Releases] sgl-project/sglang - v0.5.15
https://github.com/sgl-project/sglang/releases/tag/v0.5.15
https://github.com/sgl-project/sglang/releases/tag/v0.5.15
GitHub
Release v0.5.15 ยท sgl-project/sglang
Highlights
GLM-5.2 NVFP4, tuned for production: We took time this cycle to tune GLM-5.2 NVFP4 on Blackwell for optimized production serving. It now runs at 500+ tok/s/user on 8x B300, 450 on 4x GB3...
GLM-5.2 NVFP4, tuned for production: We took time this cycle to tune GLM-5.2 NVFP4 on Blackwell for optimized production serving. It now runs at 500+ tok/s/user on 8x B300, 450 on 4x GB3...
๐ [HF Models] inclusionAI - SingGuard-NSFA-9B
https://huggingface.co/inclusionAI/SingGuard-NSFA-9B
๐ [HF Models] inclusionAI - SingGuard-NSFA-4B
https://huggingface.co/inclusionAI/SingGuard-NSFA-4B
๐ [HF Models] inclusionAI - SingGuard-NSFA-2B
https://huggingface.co/inclusionAI/SingGuard-NSFA-2B
๐ [HF Models] inclusionAI - SingGuard-NSFA-0.8B
https://huggingface.co/inclusionAI/SingGuard-NSFA-0.8B
https://huggingface.co/inclusionAI/SingGuard-NSFA-9B
๐ [HF Models] inclusionAI - SingGuard-NSFA-4B
https://huggingface.co/inclusionAI/SingGuard-NSFA-4B
๐ [HF Models] inclusionAI - SingGuard-NSFA-2B
https://huggingface.co/inclusionAI/SingGuard-NSFA-2B
๐ [HF Models] inclusionAI - SingGuard-NSFA-0.8B
https://huggingface.co/inclusionAI/SingGuard-NSFA-0.8B
huggingface.co
inclusionAI/SingGuard-NSFA-9B ยท Hugging Face
Weโre on a journey to advance and democratize artificial intelligence through open source and open science.
๐ [GitHub Releases] vllm-project/vllm - v0.25.0
https://github.com/vllm-project/vllm/releases/tag/v0.25.0
https://github.com/vllm-project/vllm/releases/tag/v0.25.0
GitHub
Release v0.25.0 ยท vllm-project/vllm
vLLM v0.25.0 Release Notes
Highlights
This release features 558 commits from 232 contributors (64 new)!
Model Runner V2 is now the default for all dense models (#44443). Building on quantized-mode...
Highlights
This release features 558 commits from 232 contributors (64 new)!
Model Runner V2 is now the default for all dense models (#44443). Building on quantized-mode...