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On November 2, 2026, Tencent Hunyuan released Hyra 2.0, the next-generation version of the Hunyuan Research Agent. According to official information from Tencent Hunyuan, Hyra 2.0's positioning has shifted from solving problems to building reusable tools, models, and workflows to accelerate subsequent discoveries; the company also released its views on the next stage of AutoResearch. The next day, IT Home · AI reported that Hyra 2.0 has shifted its R&D focus toward having general-purpose Agents participate in the development and upgrading of scientific models, research workflows, and software tools, so that the results can be repeatedly used in subsequent research; architecturally, it is divided into three layers—Overall, Mission, and Worker—and features three separate storage systems: project state, Agent layered memory, and a shared knowledge base called Books. During retrospectives, transferable methods can be organized into skills for use in subsequent tasks. Currently, there are no further developments.
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Unitree Robot Withdraws from Mount Tai Climbing Race Due to Overheating, Carried Down on a StretcherDevelopments
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Nov 3
Leiphone
Unitree Robot Withdraws from Mount Tai Climbing Race Due to Overheating, Carried Down on a Stretcher
The Unitree Robot G1 Developer Edition withdrew from the inaugural CMG World Robot Mount Tai Climbing Race due to the machine overheating and was carried down the mountain by staff on a stretcher. The course is 3.9 kilometers long with more than 3,100 steps in total, and the operator chose to withdraw for safety reasons. Other robots at the same event also wobbled and staggered, and some needed to be pulled with ropes.
English text is being prepared.
Tencent Hunyuan releases AI research system Hyra 2.0, shifting toward having Agents develop reusable tools
Tencent Hunyuan releases AI research system Hyra 2.0, with the R&D focus shifting from directly using AI to tackle scientific problems toward having general-purpose Agents participate in the development and upgrading of scientific models, research workflows, and software tools, so that the results can be reused repeatedly in subsequent research. Architecturally, Hyra 2.0 splits research work into three layers: Overall, Mission, and Worker; Workers can independently read code, run experiments, analyze the causes of failures, and question Mission's judgments. The system also designs three separate storage systems: project state, Agent layered memory, and a shared knowledge base called Books. During retrospectives, transferable methods can be organized into skills for use in subsequent tasks.
IT Home · AIRelated discussion
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Nov 2
Phoenix TechnologyRelated discussion
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Phoenix Technology
Tencent Hunyuan Releases AI Research System Hyra 2.0
Tencent Hunyuan released the AI research system Hyra 2.0 on November 2, shifting its R&D focus from directly using AI to tackle scientific problems toward having general-purpose Agents participate in the development and upgrading of scientific models, research workflows, and software tools. The system splits research work into three layers—Overall, Mission, and Worker—and designs three separate storage mechanisms: project state, layered Agent memory, and a shared knowledge base called Books. During project retrospectives, transferable methods can be organized into skills for use in subsequent tasks. Previously, Hyra 1.0 drove open-source models to solve an open problem in additive combinatorics that had remained unresolved for over fifty years.
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Tencent HunyuanFirst-party
Tencent Hunyuan Releases Research Agent Hyra 2.0
Tencent Hunyuan has released Hyra 2.0, the next-generation version of the Hunyuan Research Agent, positioned to shift from solving problems to building reusable tools, models, and workflows in order to accelerate subsequent discoveries. The official team also published its views on the next stage of AutoResearch, with the link https://t.co/u2JSslKYai.
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