Here is your today’s AI Dev Brief from Marktechpost, covering core research, models, infrastructure tools, and applied updates for AI developers and researchers.
Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query
LLMRouter is an open source routing library from the University of Illinois Urbana Champaign that turns LLM model selection into a cost and quality aware prediction layer between your app and a pool of models, it standardizes more than 16 routing algorithms across single round, multi round, personalized and agentic settings, provides a benchmark based data pipeline over 11 datasets, integrates advanced routers such as Router R1 and GMTRouter, and exposes everything through a unified Python API, CLI, Gradio chat interface, and plugin system for custom routers. Read the full insights/article here.
Alibaba Tongyi Lab Releases MAI-UI: A Foundation GUI Agent Family that Surpasses Gemini 2.5 Pro, Seed1.8 and UI-Tars-2 on AndroidWorld
Alibaba Tongyi Lab releases MAI UI, a family of Qwen3 VL based foundation GUI agents that natively support MCP tool calls, agent user interaction, device cloud collaboration and online RL, achieving 73.5 percent on ScreenSpot Pro, 76.7 percent success on AndroidWorld and 41.7 percent on the new MobileWorld benchmark, where it surpasses Gemini 2.5 Pro, Seed1.8 and UI Tars 2 on AndroidWorld and clearly outperforms end to end GUI baselines on MobileWorld. Read the full insights/article here.
Tencent Released Tencent HY-Motion 1.0: A Billion-Parameter Text-to-Motion Model Built on the Diffusion Transformer (DiT) Architecture and Flow Matching
Tencent HY Motion 1.0 is an open weight text to 3D human motion generation family that scales Diffusion Transformer based Flow Matching to 1B parameters, trained on over 3,000 hours of cleaned video, mocap and 3D animation data and fine tuned on 400 hours of high quality motion, and aligned with a full pretraining, SFT and RL stack, it uses a hybrid DiT architecture with dual text encoders and a Qwen3 based prompt rewrite and duration module to achieve strong instruction following and motion quality across more than 200 motion categories, with 1.0B and 0.46B models released on GitHub and Hugging Face for local use on macOS, Windows and Linux. Read the full insights/article here.
Project Notebooks/Tutorials
▶ [Open Source] Rogue: An Open-Source AI Agent Evaluator worth trying Codes & Examples
▶ A Coding Implementation of an OpenAI-Assisted Privacy-Preserving Federated Fraud Detection System from Scratch Using Lightweight PyTorch Simulations Codes Tutorial
▶ How to Build Production-Grade Agentic Workflows with GraphBit Using Deterministic Tools, Validated Execution Graphs, and Optional LLM Orchestration Codes Tutorial
▶ A Coding Guide to Build an Autonomous Multi-Agent Logistics System with Route Planning, Dynamic Auctions, and Real-Time Visualization Using Graph-Based Simulation Codes Tutorial
▶ How to Build a Fully Autonomous Local Fleet-Maintenance Analysis Agent Using SmolAgents and Qwen Model Codes Tutorial
Partner with us
Looking to promote your company, product, service, or event to 1 Million+ monthly AI developers and readers?