yet another ai update/ feed

What shipped & dropped across AI labs, today.

·last sync 22m ago

Today

Thu · Aug 27 · 3 posts
Google AI for Developers20h ago

Decoding cosmic signals with deep learning and Keras

Astroparticle physics sits at the exciting intersection of astrophysics and particle physics and stu...

Toolsdevelopers.googleblog.com/decoding-cosmic-signals-with-deep-learning-and-keras/
Anthropic20h ago

Previewing the Model Hardware Standard

We’re opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.

Modelsanthropic.com/news/model-hardware-standard-research-preview
Cursor20h ago

Start from scratch, without a repo

Cloud Agents no longer require a connected GitHub or other third-party SCM provider to get started. Prompt from the get-go, then save your work to a Cursor Origin repo. #Get started Select Start from scratch in the repo picker, then prompt the agent. In the background, Cursor creates an Origin repo for you. #Turn it into a real repo, whenever you want Once the agent's build is to your liking, click the Create repo button to save your work in an Origin repo. Choose a custom name or pick one of the suggested ones, then set the visibility to private or internal. You'll get a fully scaffolded Origin repo, ready to share or keep building on. Navigate to the Codebase tab to find your repo and access your project. #A live preview, right in the browser Cursor now port-forwards your cloud agent's live environment straight to your browser, so you can preview it and use tools like design mode. #Publish your work Connect a Vercel account and hit publish to get a live URL for what you built. A Vercel account is required to use the publish feature. Get started today.

Toolscursor.com/changelog/start-from-scratch

Yesterday

Wed · Aug 26 · 7 posts
GitHub1d ago

Enterprise-managed settings now support autoUpdate for plugin marketplaces

You can now opt individual plugin marketplaces into automatic updates by setting autoUpdate: true on an extraKnownMarketplaces entry in enterprise managed settings. Supported clients automatically check the marketplace and update…

Businessgithub.blog/changelog/2026-08-26-enterprise-managed-settings-now-support-autoupdate-for-plugin-marketplaces
xAI1d ago

Grok 4.6 on Microsoft Foundry

Grok 4.6 is now available via Microsoft Foundry.

Modelsx.ai/news/grok-4-6-microsoft-foundry
GitHub1d ago

Global model policy generally available

In July, we announced a default model policy for generally available GitHub Copilot models on Copilot Business and Copilot Enterprise plans. Starting today, we’re gradually rolling out enforcement of the…

Toolsgithub.blog/changelog/2026-08-26-global-model-policy-generally-available
Claude Blog1d ago

Claude gets its own browser in Cowork

Claude now has its own browser inside the Cowork desktop app. It opens sites, reads pages, and works in them while you keep working. No extension, and your own tabs and logins stay out of it.

Modelsclaude.com/blog/cowork-built-in-browser
Claude Blog1d ago

Claude in Chrome is generally available

Claude in Chrome is now available on every paid plan and can work through browser tasks without approving each step, with a safety check on every action. Here's how we tested it against prompt injection.

Practicesclaude.com/blog/claude-in-chrome-generally-available
Google AI for Developers1d ago

Enterprise-Grade Precision for Long-Context Multimodal Embedding Inference on Cloud TPU

Google Cloud has natively integrated TPU support into the vLLM serving engine, allowing developers to elastically scale high-demand embedding pipelines using Google Kubernetes Engine (GKE). To handle massive 15K+ token contexts for models like Qwen3-Embedding-8B, the engineering team implemented TPU-specific optimizations such as hardware-safe tensor alignment, JAX/XLA compilation pre-warming, and a hybrid StepPool architecture for chunked prefill management. These enhancements achieve near-perfect numerical parity with reference GPU baselines, and developers can immediately leverage the open-sourced setup recipes on the AI-Hypercomputer GitHub to build their own high-throughput semantic retrieval applications.

Modelsdevelopers.googleblog.com/enterprise-grade-precision-for-long-context-multimodal-embedding-inference-on-cloud-tpu/
Claude Blog1d ago

How Warp builds self-improving agents on Claude

How Warp devised a simple development pattern that anyone can use to create self-improving agents.

Modelsclaude.com/blog/how-warp-builds-self-improving-agents-on-claude

Tuesday

Tue · Aug 25 · 4 posts

Monday

Mon · Aug 24 · 2 posts

Friday

Fri · Aug 21 · 4 posts
trigger