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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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AI3 min read
Protecting capital in today's markets requires immense speed and precision. A financial analyst preparing a deal memo works across licensed market data, internal models, and confidential client files. General-purpose AI lacks the real-ti...
From Google Cloud AI blog
AI3 min read
Few professions are as exacting as the practice of law. A team reviewing a contract or building a case works inside strictly privileged information, firm-specific playbooks, and a body of law that changes constantly. The work thrives on ...
From Google Cloud AI blog
Photo: Yan Krukau
AI3 min read
Welcome to the first Cloud CISO Perspectives for August 2026. Today, Chris Betz explains why the AI era makes it more important than ever to lean into security fundamentals. As with all Cloud CISO Perspectives, the contents of this newsl...
From Google Cloud AI blog
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
Models1 min read
Google AI announced five new features for Search aimed at improving learning experiences, including options like adding notebooks and asking Google questions.
From Google AI 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
LLMs2 min read
A new textbook, ‘Reinforcement Learning from Human Feedback,’ provides foundational knowledge for engineers working with post-training LLM alignment techniques. It includes a 12-hour course, code examples, and is 50% off until August 19th.
From Interconnects
AI1 min read
Alexander Rakhlin, an expert in machine learning, statistics, and computation, has been named director of the MIT Statistics and Data Science Center, succeeding Professor Ankur Moitra.
From MIT News: artificial intelligence
Research1 min read
Instead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically.
From Amazon Science
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
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
AI1 min read
Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
From MIT News: artificial intelligence
AI1 min read
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
From MIT News: artificial intelligence
Research1 min read
A new Rust proxy called Turnstile sits between the model backend and the agent harness to capture information lost in mere text transcripts.
From Amazon Science
Models1 min read
Mistral AI launched Robostral Navigate, an 8B model for robot navigation using only one camera. It achieves high success rates on unseen benchmarks without LiDAR or depth sensors.
From Mistral AI news
Research1 min read
Scaling laws are one of the most critical empirical findings in deep learning. The observation is simple in form: the training loss $L$ decreases predictably as we scale up model size $N$, dataset size $D$, and compute $C$, following a p...
From Lil'Log (Lilian Weng)
AI1 min read
What if your cloud environment could help you move from insight to action in real time, with systems already working through the next set of decisions? The post From insight to action: The next phase of agentic cloud operations appeared ...
From Microsoft Azure AI blog
AI1 min read
At Microsoft Build 2026, AI moved from experimentation to execution—shifting from isolated tools to connected systems grounded in business data. Organizations that win will embed AI across workflows, scale it effectively, and translate i...
From Microsoft Azure AI blog
Research1 min read
Amazon Science released four methods to stop AI agents from breaking physical laws. These techniques improve accuracy and safety for robots and systems that operate in factories and hospitals.
From Amazon Science
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.
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