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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
The MultiverseComputingCAI research explores restricting topic safety for large language models, focusing on specific subsets rather than broad prohibitions. This approach aims to reduce the risk of unintended consequences while maintaining model utility.
From Hugging Face blog
Models1 min read
OpenAI announces advancements in AI models and agents, making more capable and affordable solutions available to people and businesses. This expansion aims to improve economic growth and expand the scope of achievable work.
From OpenAI news
Research1 min read
Iris-mini and Iris-pro are search agents trained at 35B and 397B parameters, respectively, using a data pipeline and training recipe involving RL and supervised fine-tuning. Results are evaluated with and without inference-time context management.
From arXiv cs.AI
LLMs1 min read
OpenAI's research efforts have accelerated significantly in 2026, with increased use of coding agents and internal model access, notably after late July when GPT-6 Astra was released to employees.
From Simon Willison
LLMs1 min read
GPT‑6 Astra is rolling out to select organizations and will be available via API at the same rate as Claude Fable 5.1. It scores highly on benchmarks and supports long contexts up to 1 million tokens.
From Simon Willison
Models1 min read
GPT-6 Astra is announced as the most intelligent and aligned model from OpenAI, with enhanced abilities in computer use, coding, cybersecurity, and science.
From OpenAI news
LLMs1 min read
llm-anthropic 0.28 introduces Claude Fable 5.1 with default reasoning traces and a new exception for refusals.
From Simon Willison
LLMs1 min read
Meta's Muse Glimmer is a 30-billion parameter open-weight dense model with a 120K+ context window, designed for local AI applications and open source deployment.
From NVIDIA technical blog
LLMs1 min read
The OpenAI Codex desktop app stores LibreOffice binaries in its cache, including full installations and usage skills, which may impact model deployment and integration strategies.
From Simon Willison
LLMs1 min read
IBM has released Granite 4.2, a family of open-weight LLMs designed for agent systems. These models offer a context window of 32k tokens and are available under a permissive Apache 2.0 license.
From Hugging Face blog
LLMs1 min read
This report details the evolving state of open models, focusing on size trends, licensing options, and key performance indicators for models deployed in production environments. It highlights shifts in model architecture and accessibility for engineers.
From Hugging Face blog
LLMs1 min read
IBM Research has developed ALTK Evolve, a system that achieves comparable performance to models like ACE while utilizing significantly fewer tokens. This reduces operational costs and improves inference speed for agent-based applications.
From Hugging Face blog
Research1 min read
Microsoft Research introduced EvoLib, a system that transforms deployment experiences into evolving knowledge for LLMs. This allows models to adapt and learn across tasks long after initial deployment, improving performance and reducing the need for retraining.
From Microsoft Research
Research1 min read
Flint is an open-source visualization language enabling AI agents to generate expressive charts from concise specifications. It provides a middle ground between simple chart specifications and complex manual chart creation.
From Microsoft Research
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.
