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Models2026-06-17 · source-backed
Alibaba's Tongyi Lab shipped Qwen-RobotSuite on June 15: Qwen-RobotNav for navigation, Qwen-RobotManip for grasping and manipulation, and Qwen-RobotWorld, a world model predicting future physical states from observations plus natural-language actions. Already in enterprise pilots on Alibaba Cloud. This is Qwen's explicit move from chatbots into embodied AI, and it sharpens the China-US race in robotics foundation models.
Each link below shares sources, entities, or timing with this story.
The Max tier is Qwen's flagship proprietary line, distinct from the open-weight Qwen3 series, continuing the Chinese frontier release cadence alongside Moonshot's K3. The practical question for anyone outside China is whether Max-tier access lands on international API endpoint...
Moonshot AI released Kimi K3, a sparse mixture-of-experts activating 16 of 896 experts per token. That's about 1.8% of the pool live at any moment, with a 1M-token context window and native vision. Two new architectural pieces show up: Kimi Delta Attention and Attention Residu...
Junyang Lin, Alibaba's lead Qwen researcher and one of their youngest P10 employees, resigned along with key team members Binyuan Hui (Coder series), Bowen Yu (Instruct/post-training), and Kaixin Li. The departures came weeks after Qwen 3.5's release — models practitioners cal...
25,000 fake accounts. 28.8 million Claude conversations. Six weeks. And the thing they were harvesting wasn't trivia, it was software engineering and agentic reasoning. In a June 24 letter to US senators and the White House, Anthropic alleged that operators tied to Alibaba's Q...
Alibaba released Qwen3.6-27B on April 22. Dense architecture. Open weights. 77.2% on SWE-bench Verified, within 3.7 points of Claude Opus 4.6. On SkillsBench, it scores 48.2% versus its own 397B MoE predecessor's 30.0%. That's a 77% improvement with 14.8x fewer parameters. Let...
Moonshot AI dropped Kimi K2.6 today and the numbers are hard to ignore. One trillion parameters total, 32 billion active per token across 384 experts, 256K context window, and native multimodal input. It scores 58.6 on SWE-Bench Pro versus GPT-5.4's 57.7 and Claude Opus 4.6's...
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