Google DeepMind and Google Research have open sourced the WeatherNext 2 and WeatherNext Cyclones AI models, which achieved state-of-the-art accuracy in predicting tropical cyclone tracks, intensity, and wind structure. Published in Nature, the work demonstrates that these models provide forecasters with an extra day of predictive accuracy compared to prior systems.
Microsoft Research has released Orchard, an open-source framework designed to enable scalable and cost-effective research into autonomous agents. The system centers on Orchard Env, a Kubernetes-based environment service that allows researchers to train and evaluate agents across diverse domains like software engineering, web navigation, and personal assistance without rebuilding infrastructure.
SpaceXAI has released the source code for Grok Build, its coding agent and terminal user interface (TUI), on GitHub. This move aims to provide a robust and reliable harness by allowing users to inspect exactly how context assembly and tool-call dispatch work.
The University of Pittsburgh’s Human Engineering Research Laboratories (HERL) is leading the Robotic Assistive Mobility and Manipulation Platform Providing Independence for People with Disabilities (RAMMP), a project backed by up to $41.5 million in funding from ARPA-H. The initiative aims to create safer, more adaptable assistive mobility solutions for wheelchair users by integrating advanced robotics with Meta’s open-source AI vision models.
Lawrence Berkeley National Laboratory has deployed Meta’s Segment Anything Model 3 (SAM 3) and DINOv3 within the SYNAPS-I initiative to automate X-ray and neutron data analysis. Fine-tuned on scientific imaging data, these models replace manual segmentation bottlenecks with a pipeline that delivers semantically labeled 3D volumes in approximately 15 minutes.
Microsoft has open-sourced a branch of its SymCrypt cryptographic library containing formal specifications and proofs for the Rust implementations of ML-KEM and SHA-3. This release demonstrates a methodology where production algorithms are written in safe Rust and verified against standards-derived Lean models using the Aeneas toolchain.
Google has open-sourced its WeatherNext 2 and WeatherNext Cyclones AI models to improve cyclone forecasting accuracy. The models achieve state-of-the-art results in predicting track, intensity, and wind structure, providing forecasters with an average of one extra day of predictive accuracy compared to current methods.
Alibaba has announced Qwen3.8-Max as its new flagship model, describing it as a 2.4T-parameter sparse architecture focused on long-horizon agentic work, coding, and multimodal reasoning. The company confirmed that open weights for Qwen3.8-Max will be released next week alongside the open-weight Qwen3.8-27B variant.
Liquid AI has released the LFM2.5-2.6B model, a 2.6-billion parameter agent designed to run locally on edge devices with high efficiency and compatibility.
Shieldstral is a 3B open-weights multimodal safety classifier that frames content moderation as a policy-adaptive question-answering task, allowing it to accept plain-language policies at inference time without retraining. It unifies text and image safety evaluation and delivers calibrated safety scores across diverse benchmarks while running efficiently on a single 16GB NVIDIA GPU.
Alibaba's Qwen team has announced Qwen 3.8 Max, a new 2.4T-parameter flagship model focused on coding, long-horizon agentic work, and multimodal reasoning. The company confirmed that open-weight versions of both Qwen 3.8 Max and the smaller Qwen 3.8-27B will be released next week.
Alibaba's Qwen team has made Qwen3.8-Max broadly available via API, with open weights for both Qwen3.8-Max and the smaller Qwen3.8-27B checkpoint scheduled to ship next week. The flagship model is a 2.4-trillion-parameter mixture-of-experts architecture that accepts text, image, and video inputs.
Moonshot AI has released Kimi K3, a 2.8-trillion-parameter open-weights model designed for long-horizon coding and deep reasoning. It is the world's first open-source model in the 3-trillion-parameter class and supports a 1 million token context window.
Together AI has announced a strategic partnership with Moonshot AI to serve as the launch platform for Moonshot's open-weight models, starting with Kimi K3. This collaboration provides developers with day-zero access to frontier releases through Together AI’s US-hosted infrastructure and tooling.
Moonshot AI has released the weights, technical report, and supporting infrastructure for Kimi K3, a 2.8T-parameter Mixture of Experts model with 104B active parameters. The release includes the FlashKDA attention kernels, MoonEP communication library, and AgentENV distributed agent environment.
Moonshot released Kimi K3, a 2.8T-parameter MoE model with 104B active parameters, alongside its technical report and supporting infrastructure tools. Simultaneously, NVIDIA formally launched the Open Secure AI Alliance to promote shared tooling and research for AI security.
Moonshot AI has introduced Kimi K3, an open-source Mixture-of-Experts model featuring 2.8 trillion total parameters and 104 billion activated parameters per token. The model supports native vision capabilities and a 1-million-token context window, leveraging Kimi Delta Attention and Stable LatentMoE to achieve approximately 2.5x scaling efficiency over its predecessor, Kimi K2.
Moonshot AI introduces Kimi K3, an open-source Mixture-of-Experts model featuring 2.8 trillion total parameters and 104 billion activated parameters per token. The architecture utilizes native vision capabilities and supports a 1-million-token context window, enabled by Kimi Delta Attention and Stable LatentMoE.
Moonshot has released the weights for its 2.8 trillion parameter Kimi K3 model, available as a 1.56TB download on Hugging Face. The release includes a modified license that requires large commercial entities to enter into a separate agreement with Moonshot AI if their aggregate revenue exceeds $20 million over any consecutive 12 months.
Anthropic introduced Claude Opus 5 as a more efficient model that approaches the capabilities of Claude Fable 5 at half the price, becoming the default for Claude Max. Concurrently, NVIDIA is advocating for US government policies to support open-weight AI models to foster innovation and enhance American leadership in the sector.