Moonshot AI releases Kimi K2.5, claims most powerful open-weight model with 100-agent coordination
Moonshot AI has released Kimi K2.5, which the company says is the most powerful open-weight model available. The model can independently coordinate up to 100 AI agents working in parallel on complex tasks.
Microsoft-Tsinghua team trains 7B coding model that beats 14B rivals using only synthetic data
Researchers show that an AI model trained on synthetic programming tasks alone can beat larger competitors. A key finding: task variety matters more than the number of solutions.
Baidu's new AI model Ernie 5.0, which processes text, images, audio, and video in a unified architecture, is now officially available. According to the LMArena ranking from January 15, 2026, Ernie-5.0-0110 scored 1,460 points, placing 8th globally and 1st among all Chinese models. That puts it on par with OpenAI's slightly older GPT-5.1 (High) and ahead of both Google's Gemini 2.5 Pro and Anthropic's Claude Sonnet 4.5. The next best Chinese model is GLM-4.7 from Zhipu AI. In the math category, Ernie 5.0 came in second worldwide, trailing only GPT 5.2 (High).
The LMArena ranking is determined from numerous anonymous pair comparisons in which users choose the better model answer.
Under the hood, the model uses a mixture-of-experts architecture with around 2.4 trillion parameters - but less than 3 percent of those are active for any given query. For now, the model is only available at ernie.baidu.com. Unlike previous releases, Baidu hasn't published any weights yet, and there's no technical report or detailed documentation available. The company's most recent open release was Ernie-4.5-VL-28B-A3B-Thinking, a model that can manipulate images during its reasoning process - for example, zooming in on text to read it more clearly.
Cursor's agent swarm tackles one of software's hardest problems and delivers a working browser
Building a web browser from scratch is considered one of the most complex software projects imaginable. All the more remarkable: Cursor set hundreds of autonomously working AI agents to exactly this task and after nearly a week produced a working browser with its own rendering engine.
