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AI frontier model updates & open source LLM releases
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📰 OpenAI - Building AI infrastructure with the Effingham County community

https://openai.com/index/building-ai-infrastructure-with-the-effingham-county-community


📰 OpenAI - How news organizations are using AI to advance their vital missions

https://openai.com/index/how-news-organizations-are-using-ai


📰 OpenAI - Advancing the next era of national science

https://openai.com/index/advancing-the-next-era-of-national-science


📰 OpenAI - Introducing OpenAI Presence

https://openai.com/index/introducing-openai-presence


📰 OpenAI - Introducing the ChatGPT for small business program

https://openai.com/index/introducing-chatgpt-small-business-program


📰 OpenAI - OpenAI and Hugging Face partner to address security incident during model evaluation

https://openai.com/index/hugging-face-model-evaluation-security-incident


📰 OpenAI - David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC

https://openai.com/index/david-velez-robin-vince-join-openai-boards
📰 PyTorch - Helion on TPU: Towards Hardware Heterogeneous Kernel Authoring
TL;DR Helion is PyTorch’s high-level DSL for writing performance-portable ML kernels. Partnering with Google, we have built a TPU backend that compiles Helion kernels to Pallas, providing a PyTorch-friendly way...

https://pytorch.org/blog/helion-on-tpu-towards-hardware-heterogeneous-kernel-authoring/
📰 Google AI Blog - Run Ray on TPU, Part 2: Ray AI libraries
This second installment explores how Ray’s higher-level libraries—Serve, Data, and Train—abstract the complexities of running AI workloads on Google's TPU slices. Ray Serve uses a simple topology configuration to correctly gang-schedule large multi-host models, while Ray Data eliminates data-loading bottlenecks by feeding accelerators directly with native JAX batches. Finally, JaxTrainer streamlines distributed training across TPUs by automatically handling cross-slice coordination, checkpointing, and fault tolerance.

https://developers.googleblog.com/en/run-ray-on-tpu-part-2-ray-ai-libraries/
📰 Claude Blog - How the product designer who built Claude Design uses it to explore ideas before building them

https://claude.com/blog/how-the-product-designer-who-built-claude-design-uses-it-to-explore-ideas-before-building-them


📰 Claude Blog - The new rules of context engineering for Claude 5 generation models

https://claude.com/blog/the-new-rules-of-context-engineering-for-claude-5-generation-models


📰 Claude Blog - Claude models explained: choosing the best model for your use case

https://claude.com/blog/claude-models-explained-choosing-the-best-model-for-your-use-case


📰 Claude Blog - Four role-based certifications for the people who put Claude to work for customers

https://claude.com/blog/four-role-based-claude-certifications


📰 Claude Blog - Think through hard problems in voice mode

https://claude.com/blog/think-through-hard-problems-in-voice-mode


📰 Claude Blog - Building verification loops in Claude Code with skills

https://claude.com/blog/building-verification-loops-in-claude-code-with-skills


📰 Claude Blog - How Outtake built a cyber investigator on Claude

https://claude.com/blog/how-outtake-built-a-cyber-investigator-on-claude
📰 Anthropic System Cards - Claude Opus 5


https://anthropic.com/claude-opus-5-system-card