Tencent Hunyuan is an AI model brand developed by China's Tencent, producing models across a range of domains including language, image, and 3D generation. It has notably introduced multiple model series in text, image, and 3D generation. In August 2026, Tencent Hunyuan unveiled a five-stage roadmap for verifying the "self-evolution" of AI agents. Around the same time, Tencent also released "Hy3D WorldClaw," which generates 3D open worlds from text, expanding the range of applications for 3D generation technology.
Current rank (1M)
17
Rank over the last 30 days
2026.08.20 – 2026.09.18 · High 15 · Low 29 · Now 17
The Tencent Hunyuan team released the EvolveScaler paper and project page on September 15, an information-evolution data framework. On data built by defining state in code first and then rendering it as natural language, the median avg@5 across 14 models fell to 11.3 on the longest tier.
Chinese President Xi Jinping said at the 18th BRICS Summit in New Delhi on September 13 that China would take the lead in building a BRICS AI open-source community. It topped a list of five cooperation initiatives, and the intelligent-manufacturing item included the words standards and norms.
Give it a written instruction and it produces a voice, then changes the emotion and delivery. The code and weights are out under an MIT license, and a distilled version that answers in four steps shipped alongside it.
A walkable 3D city drawn entirely in text, with no Unity or Unreal involved, has picked up more than 200 votes on Hacker News
Tencent-backed Enflame is joining China's AI chip listing wave as the last of the so-called "Four Little Dragons" to go public.
Tencent says the model beat GPT-5.6 on a coding evaluation and even helped optimize its own training and inference process
Z.ai's IPO gong, an order system rebuilt on Kimi K3, free DeepSeek access, and a 300-person WAIC party: founders, developers, and investors keep converging on this one spot, turning it into lived-in infrastructure for China's AI ecosystem.
A red-team tool checks everything from agent, skill, and MCP server vulnerabilities to LLM jailbreaks on a single platform
Founder of reinforcement learning pushes back on LLM scaling strategy, arguing the world is infinitely complex, and proposes continual-learning agents as an alternative
Survey paper breaks down into five levels the evidence needed to judge whether an agent that modifies itself has actually improved
Not video, not Gaussian splatting — an approach that assembles worlds from editable game-ready 3D assets
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