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- Agnes AI demos self-evolving agents: Honor of Kings team and test-time-training robot arm
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.
新智元 · 🔥 0 - Agnes 3.0 Qwen debuts with 1M context and multimodal inputs
A model listing describes Agnes AI’s agnes-3.0-qwen as a multimodal reasoning model using hybrid-attention MoE architecture with about 180 billion total parameters and 10 active experts per token. It supports a 1,048,576-token context window, tool calling, text, image, and video inputs, and selectable reasoning effort. Agnes AI says the model led its comparison set on τ³-Banking, came within about one point of the best score on Terminal-Bench 2.1, and outperformed GPT-5.6 Sol (Max) and Claude Opus 4.8 (Max) on IFBench. The supplied report does not independently verify these benchmark claims.
r/LocalLLaMA · 🔥 0
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