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
Scale-QLoRA adapts only the native scale fields during merging, preserving the code plane and enabling accurate, fast, and lifecycle-friendly deployment of 4-bit models.
From arXiv cs.CL
Agents1 min read
A multimodal WhatsApp ordering assistant was deployed using Amazon Bedrock AgentCore and Amazon Nova 2, supporting text, voice notes, and real-time voice calls on a single business number.
From AWS machine learning blog
Models1 min read
GPT-6 Astra is the most capable broadly deployed model from OpenAI and has reached the Critical cybersecurity level under the Preparedness Framework.
From OpenAI news
AI1 min read
MIT affiliates work with the MIT-IBM Computing Research Lab to translate theory into production systems for AI and quantum computing.
From MIT News: artificial intelligence
Research1 min read
DeepMind has introduced Gemini 3.8 Flash and 3.8 Flash Cyber, new models with specific features for deployment and research. Details on sizes, capabilities, and licensing are provided.
From Google DeepMind blog
Models1 min read
ChatGPT Ads has achieved a $1 billion annualized revenue run rate and is expanding its global reach, supporting broader access to AI through free and affordable options.
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
ChatGPT for Teachers is expanding to 55 U.S. school systems, providing secure AI tools, training, and support to over 100,000 educators and staff.
From OpenAI news
Models1 min read
Google AI announced a partnership involving Gemini and Pixel, aiming to improve AI integration with hardware and services, relevant for engineers managing models and agents.
From Google AI blog
Models1 min read
Google AI revealed new developments in July 2026, including model updates and tools that impact model deployment and management.
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.
