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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
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
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
AI1 min read
MIT's Quantum Initiative introduces a postdoctoral fellowship program to support interdisciplinary quantum research, with its first cohort starting this fall.
From MIT News: artificial intelligence
Research1 min read
Microsoft Research introduced GigaPath-Flash and GigaTIME-Flash, which lower computational requirements while maintaining performance, enabling larger-scale pathology studies.
From Microsoft Research
AI1 min read
Julia has millions of users worldwide, supporting research and development in fields like drug design and engineering.
From MIT News: artificial intelligence
Research1 min read
Gemini Omni 1.1 Flash introduces new capabilities for building with greater control, aimed at developers managing models and agents.
From Google DeepMind blog
Research1 min read
DeepMind has piloted the first double-blind evaluation process for AI systems, aiming to improve assessment objectivity and reliability in model performance testing.
From Google DeepMind blog
Models1 min read
A randomized study of over 1,000 students analyzed the effects of ChatGPT and critical-thinking training on assignment outcomes.
From OpenAI news
Research1 min read
Gemini 3.5 Transcribe offers enhanced speech-to-text transcription capabilities, aiming to improve accuracy and intelligence in transcription tasks.
From Google DeepMind blog
LLMs1 min read
A new 4-bit model, dubbed Quantization-Aware Healing, achieves performance comparable to its full-precision original. This technique offers a compressed model size with minimal impact on accuracy for running AI agents.
From Hugging Face blog
Research1 min read
Google DeepMind partners with game studios to prototype AI gameplay, building on 15 years of research in games like Atari and EVE Online.
From Google DeepMind blog
AI1 min read
MIT research proposes new materials to improve a fossil-fuel-free process for ammonia synthesis, which is crucial for fertilizer manufacturing.
From MIT News: artificial intelligence
Research1 min read
Microsoft Research released Skala 1.1, an updated deep-learning exchange-correlation functional for predictive DFT. This update expands accessibility and provides a benchmark for tracking computational performance.
From Microsoft Research
AI1 min read
Professor Eugene Fitzgerald's latest book discusses the factors influencing how innovations translate into practical value and why simple formulas often fail to capture this process.
From MIT News: artificial intelligence
Research1 min read
Gemini 3.7 Flash is a new language model introduced by Google DeepMind, designed for improved performance and efficiency in AI applications.
From Google DeepMind blog
LLMs1 min read
Hugging Face replicated 2,200 research papers from ICML, providing accessible implementations and datasets. This effort offers engineers a resource for understanding and evaluating model performance directly.
From Hugging Face blog
Research1 min read
Microsoft Research introduced MindTopo, a benchmark designed to assess a VLM's ability to understand topological relationships like paths and knots. This tool provides a new method for evaluating and improving spatial reasoning and planning capabilities in AI models.
From Microsoft Research
Research1 min read
DeepMind announced SL2T, a model designed to convert sign language into text, supporting features for Deaf and hard of hearing users.
From Google DeepMind blog
Research1 min read
Microsoft Research introduced CARE-X, a new approach to radiology VLMs using auxiliary supervision, reward-aligned learning, and tool-augmented measurement for chest X-ray interpretation. This system aims to create clinically useful models with calibrated predictions and flexible reasoning.
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.
