#Open source

uni-robot-agent: Open-source robot use agent unified framework achieves zero-shot operation breakthrough

The uni-robot-agent framework enables open-source weight robots to surpass proprietary models using agents in zero-shot operation, with its onboard Qwen3.8-Flash-Next scoring 31.39 in the RoboDojo evaluation, exceeding GPT-6 Astra-RoboProbe's 28.97 score and numerous VLA/WAM baselines, and performing excellently in 19 real tasks. Analysis indicates that effective robot use requires combining four general capabilities, suggesting future training should synergistically develop these capabilities.

Ali Zeng Xinyi: Qwen Open Source Models Have Exceeded 470, Promoting AI Popularization

Cai Xinxin, co-founder of Alibaba Group, said at the 2026 World Internet Conference that open-source can reduce AI R&D costs and promote AI popularization, especially important for developing countries. Currently, Alibaba's Qwen has open-sourced over 470 models, with a global cumulative download volume exceeding 4 billion and derivative models exceeding 330,000.

Zyphra AI introduces Zyphra Hierarchical Attention (ZHA): The path to true sub-quadratic attention

Zyphra AI has released Zyphra Hierarchical Attention (ZHA), a sparse attention method based on a tree indexer, designed to address the known issue in sparse attention where the indexer still needs to scan the entire context. ZHA can be distilled into a frozen pre-trained model of about 4B tokens, achieving performance close to dense attention in inference, smart encoding, and 256K retrieval benchmarks on Qwen3.6-35B-A3B.

GitHub Copilot 0.167.0-alpha.4 released

GitHub Copilot 0.167.0-alpha.4 released, providing code review, security vulnerability detection, and secret scanning features.

Ollama v0.40.14-rc0 released.

Ollama v0.40.14-rc0 released, fixes buildx deadlock issue and optimizes long top-k line sorting.

The Letter Company has released Letterpress-1: an encoding agent designed for growth engineering

The Letter Company releases Letterpress-1, an encoding intelligent agent that generates code changes and submits Pull Requests by reading websites and their market data. The agent runs on Letter's hosted platform, requiring no local GPU, and each change must be confirmed and previewed by the user before deployment. The basic plan is priced at $100/month, including 10,000 tokens, with overages charged at 5 times the list price.

CEPO: A general prompt optimization framework for multi-agent systems

CEPO enhances prompt optimization for multi-agent systems by separating shared coordination from agent-specific execution, continuously improving the performance of four existing prompt optimization methods across 11 cross-domain benchmark tests. The framework uses shared coordinator prompts and agent-specific execution prompts, guiding them to update based on their respective roles, allowing shared coordination rules to be consistently optimized across all agents while maintaining independent adjustment of execution instructions. Experiments show that CEPO improves optimization budget efficiency and scales performance as the number of agents increases.

Lakebase Postgres has been officially launched on Google Cloud.

Lakebase Postgres is officially launched on Google Cloud, supporting serverless Postgres running on the Databricks data and AI platform.

Deep Principle releases Hydrogen-1.0: an open-source scientific model with 753B parameters

Deep Principle releases the open-source scientific model Hydrogen-1.0, a 753B parameter model based on GLM-5.3 post-training using Z.ai, for the fields of chemistry, materials science, and life sciences, scoring 38.3% in the FrontierScience-Research evaluation, surpassing GPT-6-Astra's 33.3%.

Regina Barzilay and Jim Collins win the 2026 Prizewinner in Science Research Excellence AI Award

Regina Barzilay and Jim Collins win the 2026 Prizewinner in Science Research Excellence AI Award for their pioneering work in AI-assisted antibiotic discovery, integrating deep learning, bioengineering, and experimental validation to identify novel antibacterial candidates to combat drug-resistant pathogens.

WeFair: Fidelity-Aware Alignment Technology Based on Human Feedback, Used for Personalized Query Rewriting in Short Video Search

WeFair improves personalized query rewriting through a human feedback phase (demonstration, preference, and validation) based on fidelity perception, reducing intent drift and enhancing search effectiveness on short video platforms. This technology addresses the need for compact query rewriters in short video search, recovering user personalized intent from ambiguous queries under strict latency constraints. WeFair-2B outperforms strong rewriting baselines in overall accuracy and intent preservation in offline experiments, while online A/B testing shows a relative increase of 2.593% in effective video play rate and a relative decrease of 2.350% in query rewriting rate.

Apriel Voice 27B Preview: An Open-Source Model Supporting Speech, Reasoning, and Tool Use

Apriel Voice 27B Preview is an open-source speech language model that integrates speech understanding, reasoning, and tool use through a two-stage training process (including online distillation) and performs excellently in audio benchmark tests.

HiFOR: A hierarchical predictive framework for visual language action models

HiFOR guides action generation by hierarchically predicting future states and retrieving relevant future information, enhancing robotic manipulation capabilities. The framework jointly predicts short-term state evolution, semantic milestones, and final goal states through hierarchical dependency masks (HDM), establishing cross-temporal dependency relationships; structured perception latent world modeling organizes future potential representations along temporal, perspective, and spatial dimensions, promoting fine-grained retrieval; action-guided decomposition world retrieval adaptively retrieves relevant future information based on action representations during the denoising process, providing targeted guidance for action generation.

2009 Sony Walkman runs ESP-NOW communication with native WiFi chip

FrameForge: Utilize video base model priors for unified image generation

FrameForge achieves adaptive conditional image generation by modeling the priors of pre-trained video models through dynamic time experts and intermediate reasoning paths, achieving superior performance to comparative methods on DreamBench, COCO2017, and GEdit-Bench.

qwenGPU: An experimental model combining Qwen3.5-2B with 45 compiled GPU layers

qwenGPU is an experimental model published by developer Vixhal on GitHub, which embeds 45 compiled GPU layers directly into the weights of Qwen3.5-2B, allowing it to run real CUDA in its own forward pass.

NVIDIA releases Auto Ontology: An open-source semantic layer that enables AI agents to SQLize

NVIDIA releases Auto Ontology, a semantic layer framework based on enterprise metadata, allowing AI agents to write SQL through certified business definitions. The default LLM is nvidia/nemotron-3-nano-30b-a3b, supporting Docker Compose or Kubernetes deployment. Performance tests show a 90% reduction in ontology creation time, but the text-to-SQL accuracy has not been announced.

Wizard: Real-time control of any world through agent control

Wizard decouples character animation, scene control, and game logic from visual generation, allowing intelligent agents to control joint skeletons and scene geometry through structured visual agents, achieving real-time interaction at 24 FPS, zero-shot generalization to unseen scenes, characters, and actions. The team built 50.3 hours of aligned agent-video pairs, including 750 scenes and 178 characters, supporting character adaptive masking, causal adaptation, and few-step distillation techniques.