Model as Product @AntLingAGI. Founder of AntOSS. Seasoned Engineer & Strategist. 10+ yrs of eng exp + MBA. Global citizen lived in China, Singapore, Canada, US.
From IcePop to KPop — our team keeps pushing on RL training stability for large MoE models. 👇
KPop replaces the fixed-ratio mask with an adaptive binary-KL region that matches each token's inherent noise. More robust updates, stable long-horizon agentic RL.
Ring-2.6-1T → 76+ on SWE-bench Verified, pure RL.
Congrats to @Jia__Guo & team!
Blog: https://t.co/PvYHN5ywwz
IMH the model shouldn't be invisible, it is a kernel or core component or a brand, like "Intel Inside".
If that's a product depends on your perception, or position. To application and harness builder, the model is indeed a product, as it has different behavior and value proposition.
Ring-2.6-1T is now open source! 1T-parameter thinking model with two reasoning gears and SOTA Agent execution. 🚀
🔗 https://t.co/OI8hBuSJEn
🤖 Stronger Agent execution: SOTA on PinchBench (87.60) and ClawEval (63.82), top-tier on TAU2-Bench and GAIA2-search. SWE-Bench Verified 74.00.
🎯 high / xhigh Reasoning Effort: high for production Agent workflows, xhigh for hard reasoning (AIME 26: 95.83, GPQA Diamond: 88.27)
⚡ Async RL + Popsicle algorithm: stable long-cycle RL training at trillion-scale
Compatible with OpenClaw, Claude Code, OpenCode, Kilo Code, and more.
🚀 Ring-2.6-1T is now open source.
A trillion-scale flagship thinking model built for real-world complex tasks: Agent workflows, coding & engineering, long-horizon tasks, complex reasoning, research, and enterprise automation.
It is designed to move beyond “answering” toward execution: understanding context, planning steps, calling tools, and staying stable across long task chains.
Highlights:
- Advanced agentic workflow support.
- Reasoning effort levels: high for agentic tasks, xhigh for complex reasoning.
- Scalable asynchronous RL via the IcePop algorithm, enabling stable, trillion-scale training for long-horizon agentic RL.
It was quite a delight to attend the LLM day at @themu_xyz , a very passionate and energetic event. In my talk, I shared LLM is not a wishing well, and how @AntLingAGI is positioning ourselves in this game. We also had a very informative panel discussion thanks to Xiongyi, Vincent and Jiajun~ A lovely day it is.
We started the Great LLM Meetup yestersay with a stacked docket of talks, panels and fiery discussions 🔥
With guests from Z-ai, Openclaw, Qwen, PixVerse, Kimi, Ant ling Model & StepFun gracing us, we were bound to leave the session feeling like LLM maxis 😎
We started the Great LLM Meetup yestersay with a stacked docket of talks, panels and fiery discussions 🔥
With guests from Z-ai, Openclaw, Qwen, PixVerse, Kimi, Ant ling Model & StepFun gracing us, we were bound to leave the session feeling like LLM maxis 😎
In case you missed it: Ring-2.6-1T from @AntLingAGI is live and free on OpenRouter through May 15th!
A 1T-param thinking model with adjustable thinking effort, capable of tackling your production agent needs.
Ling-2.6-1T is now available on Infron AI. The brain behind the Flash. Ant Group's trillion-parameter flagship nears GPT-5.4 intelligence at 1/4 the token cost. Try it now 👇
🔗 https://t.co/89DAhEMXfK
#InclusionAI#AntGroup#Ling26#OpenSource
It was quite a delight to get Ant Ling 2.6 1T's Architecture featured in @rasbt 's latest update🤝. We welcome feedback and discussions on our HF page https://t.co/bZwQRsjljU as well as our Discord channel
https://t.co/TwbjGjpDza
Stay tuned for more updates! 🤠