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Tencent announced WorldClaw, a new 3D generation model showcased on the Hunyuan3D-WorldClaw page, with the community hoping for open weights.
Forbes reports that US AI data vendors Surge AI, Mercor, AfterQuery, and Turing are selling ~$500M/year in training data to Chinese labs Tencent, Alibaba, and ByteDance, despite also serving OpenAI and Anthropic.
Tencent reports that its Hy3-powered Hyra research agent assisted in settling a 50-year-old sum-difference problem in mathematics, with the paper published on arXiv.
TencentDB Agent Memory releases a 2.0.0 beta introducing Team Memory, a shared memory hub that lets agents and teammates reuse chat, docs, and code assets. The repo hit #1 on GitHub's TypeScript trending this week.
This paper introduces MemoryForge, a framework for synthesizing lifelong autobiographical memory from brief target personas to enable frozen LLMs to exhibit more human-like behaviors in role-play and user-simulation, outperforming descriptive conditioning baselines.
Kling AI raised approximately $2.8 billion at an $18 billion valuation in a funding round led by Alibaba and Tencent, positioning the company for greater independence from its parent Kuaishou.
AngelSpec introduces a unified training and inference framework for speculative decoding that jointly optimizes autoregressive multi-token prediction and block-parallel diffusion drafters to handle heterogeneous real-world workloads. Experiments on the Hy3 model series show up to 2.4x speedup over autoregressive decoding and 11.8% higher throughput than DFlash.
This paper introduces Tencent WorkBuddy Bench, a multi-domain evaluation suite for coding agents designed to resist data contamination by reverse-engineering tasks from real commits and business scenarios, covering Code, Web, Office, and Security domains.
Tencent CodeBuddy's monthly visits grew from near zero to 7.31 million in half a year, with a peak of 7.45 million, reflecting the rapid growth trend of AI coding tools.
Harness Handbook provides a behavior-level manual for AI agent harnesses, linking system behaviors to verifiable code evidence to make harnesses understandable, auditable, and editable.
A developer shares the smooth experience of developing a WeChat mini-program from scratch using Tencent's open-source CloudBase plugin in Codex (ChatGPT App), recommending it to those interested.
Tencent Hunyuan team releases quantized versions for the 295B-parameter Hy3 large model. The 1-bit version compresses weights to 85.5GB, enabling deployment on a single 96GB inference GPU with ~50% faster decoding. The open-source GGUF format is compatible with the llama.cpp ecosystem.
Tencent releases Hy-Embodied-RxBrain-1.0, a unified multimodal foundation model for embodied cognition that combines language reasoning with visual imagination for understanding, world state prediction, and subgoal planning.
Tencent's ima knowledge base can batch-read public account articles from WeChat favorites and supports deep integration with Agent products like WorkBuddy, Claude Code, and Codex, making AI processing convenient.
Codex active users increased from 7 million to 8 million in just one day. Meanwhile, Tencent's WorkBuddy reportedly has 13–15 million daily active users. After trying it, I found its ecosystem so strong that it's hard not to recommend users learn and use it.
Chinese AI models dominated the top 6 usage on OpenRouter for last week and this week, with the free version of Tencent Hunyuan3 ranking first, Xiaomi MiMo-V2.5 and DeepSeek-V4-Flash in the lead, reflecting the significant increase in influence of domestic models in the open-source community.
Tencent's Hy3 295B model now available in 1-bit and 4-bit GGUF formats, achieving 2.2x faster local inference compared to cloud API while maintaining quality, as demonstrated by running on 4x RTX 5090 with 128GB VRAM.
Tencent consultant Yao Shunyu investigated the lagging performance of the Hunyuan large model, finding systemic issues such as data contamination from chasing leaderboard scores and poor annotation quality.
Tencent released Hy3, a 295B parameter MoE model with 21B active parameters per token, competitive with larger models on agentic coding and tool use tasks, with Apache 2.0 weights.