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Agnes AI demos self-evolving agents: Honor of Kings team and test-time-training robot arm

AI summary

At the 2026 Physical AI and World Models conference in Nanjing, Agnes AI (爱思科技) livestreamed a 5v5 Honor of Kings match in which an AI coach rewrote the team's tactical playbook after each game, lifting its win rate against built-in bots from 0% to 100% over five revisions, according to the company's booth demo reported by 新智元. No model parameters were trained in that experiment; the coach, described as the forthcoming Agnes 3.0 Pro, only edited prompts, action choices and code, with each version required to pass researcher-set tests before play. A separate demo showed a Franka Panda arm in MuJoCo simulation updating its own weights during work via Agnes Embed TTT, raising task success from roughly 30% to about 90% while cutting iteration time to as little as 30 minutes to an hour. Agnes frames both routes as part of its open-source Agnes Harness agent infrastructure and its "万物共脑" (one brain for everything) pitch, and says a version of the harness also coordinated simulated Mars-base devices and booth robots.

In-depth insight

The demo is a vendor-reported illustration of two self-improvement routes — system-level playbook rewriting and model-level test-time training — which Agnes claims to have run simultaneously, though no independent measurement was cited.

原创 ASI启示录 2026-10-21 20:13 北京

新智元报道  

一支王者荣耀AI战队,开局被游戏内置人机按在地上摩擦,一局都没赢过。

谁也没想到,AI教练只带它复盘了五轮,胜率竟从0%直接打到了100%!

全程没有训练任何一个模型,每一版新战术本,都是AI教练自己改出来的。

#Agnes AI#Agnes Harness#Agnes 3.0 Pro#Agnes 3.0 Flash#Jev#Agnes Embed TTT#Honor of Kings#Franka Panda#MuJoCo#MHS#AgnesHub

Original · 12 min readRead the original
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