Descriptions:
Inclusion AI has released Ring 2.6, a one-trillion-parameter open-weights model under the MIT license, but YouTuber Fahd Mirza argues it is one of the most impractical open-source releases of 2026. The model is available on Hugging Face and ModelScope in theory, but Mirza documents in detail how virtually no one outside of China can actually access or run it: the hosted Ling Studio requires a Chinese phone number, the API rejects foreign numbers, and even running it locally demands a serious multi-node GPU cluster capable of handling 63 billion active parameters under a mixture-of-experts architecture.
To actually test the model, Mirza obtained API credits through a contact in China and submitted a complex prompt asking the model to build a full production-grade flight control system for a simulated quadcopter on Ubuntu 22.04 — complete with 6-DOF physics, cascaded PID controllers, MAVLink support, and a web dashboard. While the model generated a plausible file hierarchy and a running dashboard, inspection of the source code revealed empty implementations: sensors, mixers, and core modules were all stubs.
Mirza frames the release as a prestige play with no practical utility, contrasting it unfavorably with Qwen’s strategy of releasing usable small models (0.8B to 8B) that drive community adoption. He also questions why enterprises would choose Ring over more reliable closed-source alternatives like GPT, Claude Opus, or Gemini, and notes that even within China, DeepSeek, ByteDance, and Baidu offer stronger options.
📺 Source: Fahd Mirza · Published May 14, 2026
🏷️ Format: Review
