Blog
Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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LLMs1 min read
NVIDIA has addressed challenges in running multi-step reasoning and agentic AI at the edge, enabling more efficient deployment on Jetson hardware.
From NVIDIA technical blog
Agents1 min read
A LiteLLM gateway can be deployed on Amazon ECS with AWS Fargate, connecting to OpenAI models on Amazon Bedrock, with request routing via Codex and configurable controls.
From AWS machine learning blog
Models1 min read
Google AI announced the Fairwind Program aimed at enhancing proactive cyber defense for governments and enterprises, focusing on security and safety measures.
From Google AI blog
Agents1 min read
Claude Fable 5.1 is now accessible on Amazon Bedrock and Claude Platform, featuring improvements and Enterprise Safeguards for data control in cloud environments.
From AWS machine learning blog
Research1 min read
DeepMind announced Gemini's new agentic video understanding capabilities, enabling models to interpret and act on video content more effectively.
From Google DeepMind blog
Models1 min read
Polimill integrates OpenAI GPT and Codex models to assist municipalities in accessing administrative knowledge and speeding up development efforts.
From OpenAI news
Models1 min read
OpenAI announced the winding down of its contract to supply models to Cursor following its acquisition by SpaceX. Details on the timeline or model types are not specified.
From OpenAI news
Models1 min read
OpenAI and Thailand’s MHESI initiate an eight-week program supporting 10 startups in health, wellness, and education to develop trusted AI products.
From OpenAI news
AI1 min read
GeoPT enables AI models to better simulate responses to physical forces like wind and water, enhancing accuracy and efficiency in real-world scenario modeling.
From MIT News: artificial intelligence
Models1 min read
Google's Gemini API 3.6 introduces new features for flash learning, hooks, and triggers, enhancing managed agents for engineers.
From Google AI blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
