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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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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
Agents1 min read
OpenAI terminated its partnership with Cursor following SpaceX’s acquisition, citing contract violations. This shift impacts Cursor’s access to OpenAI models and reflects broader competition within the AI landscape, particularly with Claude and Grok.
From Latent Space
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.
LLMs1 min read
A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline—for example, from an SUV to a sedan or another vehicle...
From NVIDIA technical blog
LLMs1 min read
NVIDIA TensorRT Model Connect allows engineers to deploy open AI models from checkpoint to inference using just two commands. This simplifies the deployment process and reduces the need for model-specific conversions.
From NVIDIA technical blog
Agents2 min read
OpenAI projects AGI completion by December 2026, driven by the Astra model, while the launch of Pollen Robotics’ Microduck robot gains traction with its open-source design and accessible price point.
From Latent Space
LLMs1 min read
NVIDIA ALCHEMI Toolkit utilizes AI coding agents to streamline atomistic simulation workflows, combining scientific knowledge with compute-efficient implementation. This enables faster, more accessible materials research by providing accessible interfaces for simulation.
From NVIDIA technical blog
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
Models1 min read
Google AI announced new travel features in Search's AI Mode, enabling users to plan and book trips more efficiently with integrated tools and updated interfaces.
From Google AI blog
Agents1 min read
This month’s LangChain newsletter announces the public beta of Managed Deep Agents and LLM Gateway, alongside significant improvements to the LangSmith Engine and Tuned Evaluators. Teams can now deploy Deep Agents with one command and implement robust controls for LLM usage in production.
From LangChain blog
Agents1 min read
Z.ai released GLM-5.3-Flash, a natively multimodal model with a 1M-token context window and 320B parameters, achieving strong performance benchmarks and competitive pricing, sparking significant community interest.
From Latent Space
Agents2 min read
OpenAI’s Jalapeño inference chip delivers significantly improved performance and lower latency compared to NVIDIA GB200/GB300 systems, marking a shift in inference economics and highlighting the importance of system-level optimization.
From Latent Space
Agents1 min read
The GitHub Copilot app automates the initial review of Dependabot pull requests, grouping them by risk, verifying CI status, and generating summaries. This reduces the time spent on repetitive triage tasks, allowing engineers to focus on critical decisions.
From GitHub blog: AI & ML
Agents1 min read
Factory, a provider of AI-powered SDLC automation, utilized LangSmith to automate its feedback loop, achieving a 2x improvement in iteration speed. The self-hosted platform enabled robust observability and data privacy for complex LLM workflows.
From LangChain blog
Agents1 min read
LangChain is hosting the first AI Agent Conference, Interrupt, on May 13-14 in San Francisco. The event includes workshops, keynotes, and networking opportunities for builders working with AI agents.
From LangChain blog
Agents1 min read
LangSmith’s new LLM-as-a-Judge evaluators incorporate self-improvement through stored human corrections, reducing prompt engineering and enabling adaptive alignment with user preferences. This streamlines evaluation for generative LLM applications.
From LangChain blog
Agents2 min read
LangChain rebuilt its chatbot using an internal agent system to address support inefficiencies. The new architecture combines documentation, knowledge base, and codebase analysis for comprehensive answers, improving response times and reducing debugging time.
From LangChain blog
Agents1 min read
LangSmith’s product homepage has been redesigned to better align with developer workflows focused on observability, evaluation, and prompt engineering. New resource tags provide flexible grouping and filtering capabilities within workspaces, improving resource management and accessibility.
From LangChain blog
Agents1 min read
The EU AI Act requires specific operational infrastructure for high-risk AI systems. LangSmith and LangChain OSS provide observability, tracing, and evaluation tools to meet these requirements, including full execution capture, continuous quality scoring, and human oversight mechanisms.
From LangChain blog
Agents2 min read
The LangChain State of AI 2024 report reveals key trends in LLM app development, including increased open-source model adoption, a shift to agentic workflows, and growing application complexity. Developers are utilizing LangSmith to trace and optimize these increasingly sophisticated AI systems.
From LangChain 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.
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