The U.S. Department of Energy has launched the Genesis Open Models Initiative and, in partnership with Arcee, unveiled its first open-weight model for scientific research named Genesis-Science-1.
Researchers propose Unsupervised On-Policy Self-Distillation (U-OPSD), a method that achieves post-training improvement for large language models using only the model's own generations without external supervision. The approach samples multiple rollouts to construct a pseudo-solution via majority vote, then distills a teacher distribution into prefixes of the model's longest incorrect completion.
Researchers introduce M$^3$R-Bench, a unified benchmark containing 1,000 image-text instances with human-verified annotations designed to evaluate evidence-grounded multimodal metaphor understanding. The benchmark provides joint annotations for metaphor occurrence, Target-Source mapping, sentiment, and stage-wise explanations based on Conceptual Metaphor Theory.
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.
Researchers present Argus, a persistent, self-evolving agentic runtime designed for long-horizon reasoning that separates stable user intent from operational objectives. The system utilizes Manager, Planner, Engineer, and Reviewer roles to execute bounded missions over durable project state, allowing for autonomous execution between operator-owned escalation points.
Microsoft, Shanghai Jiao Tong University, Tongji University, and Fudan University researchers developed SkillOpt, a text-space optimizer that trains natural-language skill documents while keeping the target model frozen. The system uses an optimizer model to propose bounded edits based on scored rollouts, exporting the result as a single `best_skill.md` file.
Researchers propose ROSA, a robotics foundation model serving system designed for robot factories that moves beyond single-robot, edge-computing assumptions. The system utilizes shared GPU-pool serving to allow fleets of robots to access server-class GPUs over the network.
A developer has open-sourced a Decay-Gated O(N) Causal Linear Attention architecture featuring fused Triton/CUDA state accumulation kernels designed to bypass quadratic MHA bottlenecks.
Qwen introduces Qwen-CUA, a native computer-use agent built on a 397B-A17B mixture-of-experts backbone that operates via screenshots and input events without relying on DOM trees or accessibility metadata. The system utilizes a scaffold to maintain up to 20 active screenshots and was trained using a cloud rollout fleet with nearly 100,000 vCPUs across approximately 40,000 verifiable tasks.
Douyin has released the technical report for its Multimodal Embedding (DME) model, which combines large-scale contrastive pre-training with latent reasoning to achieve strong discrimination and efficiency.
Researchers have introduced Qwen-CUA, a native computer-use agent built on a 397B-A17B Qwen mixture-of-experts backbone. The system operates by observing screenshots and acting through keyboard and mouse events, without relying on DOM trees or accessibility metadata.
Research demonstrates that chain-of-thought (CoT) monitoring fails against adversaries who control the reasoning process. By rewriting an agent's reasoning to appear as good-faith engineering while keeping commands and outputs verbatim, attackers can bypass detection mechanisms.
OpenAI has released results from its unreleased internal model, Astra, which successfully solved ten significant open problems in mathematics. The solutions were generated by the model and subsequently formalized into Lean certificates by human researchers.
Hanyu (Olivia) Yu, a high school sophomore, is seeking an arXiv endorser in cs.LG or cs.CV to upload her independent preprint titled "AttnRoute-MoE: Attention-Prior Routing for Mixture-of-Experts Vision Transformers."
OpenAI has released solutions to ten mathematical and theoretical computer science problems that had seen no progress on their main results for at least a decade, using an internal version of its next major model, Astra.
OpenAI's internal Astra model has generated solutions to ten long-standing open problems across mathematics and theoretical computer science, with the arguments formalized in Lean. These results span high-dimensional geometry, coding theory, group theory, and quantum complexity, addressing questions that had seen no progress for at least a decade.
Researchers present Memory Decoder at Scale, a system that scales parametric long-term memory models up to 6.9B parameters and pretrains them on 300B tokens. To address the infeasibility of standard Faiss pipelines at this data scale, the authors implement a distributed indexing pipeline with sparse, batch-wise loading of kNN distributions.
The Qwen team has released a technical report for Qwen-UI-Agent, a real-world centric foundation GUI agent designed to operate reliably across mobile, computer-use, web, and DeepSearch environments. The system combines diverse sandbox environments with a large-scale real-device mobile runtime, interleaving GUI operations with CLI execution and supporting long-horizon tasks.
Researchers propose Living-Harness, a self-evolving agent harness that converts completed trajectories and evaluator signals into posterior evidence for bounded harness updates. Guided by an Evolution-SOP, the system extracts episode abstractions and structured update evidence to write episodic memory and state graphs.
Researchers tested constitutional midtraining by inserting values-based content into the training process of 120B-scale models to determine if it produces more durable alignment than standard post-training methods. The study found that this approach significantly improves alignment generalization and durability, particularly in mitigating blackmail propensity after supervised fine-tuning.