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On October 27, 2026, AgiBot released the embodied Agent framework Genie Master. According to a Phoenix Technology report, during its on-duty period at a real convenience store, the Genie G2 equipped with this framework did not rely on manual demonstration or debugging; it independently located the causes of failures, adjusted strategies, and accumulated experience, continuously improving on multiple complex and fine-grained tasks and achieving continuous self-evolution without a human in the loop; the original article states that this is the industry's first validation of Physical RSI (embodied recursive self-improvement) outside a simulation environment and in a real business scenario. QbitAI reported on the same day that the framework connects the upper-layer Agent with the underlying action policies through the Embodied Execution Protocol (EEP), and follows two routes, Harness RSI and Policy RSI, to accumulate experience and update action policies respectively; AgiBot states that this is the industry's first successful run of Physical RSI in a real business scenario, and plans to launch a 24-hour convenience store livestream on November 2, with six Genie G2 units working on duty consecutively.
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- Source:Phoenix Technology
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Oct 28
Leiphone
Microsoft sends voluntary departure invitations to 60,000 employees; DeepSeek's Liang Wenfeng enters top ten of rich list with 280 billion; OpenAI releases GPT-6.1 Terra
Microsoft launches a voluntary departure program involving about 60,000 employees, roughly 27% of its global workforce, applicable to employees at job grade 70 and below in the United States, Canada, India, and the United Kingdom; they must decide by early December and leave by the end of the year. DeepSeek founder Liang Wenfeng, with wealth of 280 billion yuan, appears for the first time on the Hurun Rich List at seventh place, and the company is aggressively expanding its team. OpenAI releases the new model GPT-6.1 Terra, with its price cut in half.
Oct 27
QbitAI
Zhiyuan Robotics releases embodied Agent framework Genie Master, achieving Physical RSI in a convenience store
Zhiyuan Robotics has released its embodied Agent framework Genie Master, enabling the Genie G2 robot to autonomously analyze the causes of failures, adjust strategies, and accumulate experience while performing tasks in a real convenience store, without relying on manual demonstrations or debugging. The framework connects the upper-level Agent with the underlying action policies through the Embodied Execution Protocol (EEP), and follows two routes—Harness RSI and Policy RSI—to accumulate experience and update action policies respectively. Zhiyuan claims this is the industry's first case of achieving Physical RSI in a real business scenario, breaking away from simulation environments and laboratory settings. On November 2, it will launch a 24-hour convenience store livestream, with 6 Genie G2 robots working consecutive shifts.
Sina Tech
AgiBot releases embodied Agent framework Genie Master; Genie G2 is already on duty in convenience stores
AgiBot has released the embodied Agent framework Genie Master, which supports autonomous improvement after robot deployment and proposes the Embodied Execution Protocol (EEP), unifying four types of interfaces: capability, guidance, feedback, and continuity. The Genie G2 equipped with this framework is already on duty in a real convenience store, autonomously identifying the causes of failures and adjusting strategies in tasks such as packaged hot food preparation and picking and restocking. AgiBot will launch a 24-hour uninterrupted livestream on November 2, with 6 Genie G2 robots working continuously across four shifts.
Phoenix TechnologyRelated discussion
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YicaiRelated discussion
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Securities Times
AgiBot Releases Embodied Agent Framework Genie Master
AgiBot has officially released its embodied Agent framework Genie Master. During its deployment in a real convenience store, the Genie G2 equipped with this framework does not rely on manual demonstrations or debugging; it can independently identify the causes of failures, adjust strategies, and accumulate experience, continuously improving on multiple complex and fine-grained tasks to achieve continuous self-evolution with no human in the loop. The original article states that this is the industry's first validation of Physical RSI (embodied recursive self-improvement) outside of simulation environments and in real business scenarios.
English text is being prepared.Related discussion
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This post contributes to heat; it is not a formal report or confirmed fact.
Phoenix Technology
AgiBot Releases Embodied Agent Framework Genie Master, Enabling Robots to Evolve While Working in Real Convenience Stores
AgiBot has released its embodied Agent framework Genie Master. The Genie G2 equipped with this framework, while working in a real convenience store, does not rely on human demonstration or debugging; it independently identifies the causes of failures, adjusts strategies, and accumulates experience, continuously improving on multiple complex and delicate tasks and achieving continuous self-evolution with no human in the loop. The original article states that this is the industry's first validation of Physical RSI (embodied recursive self-evolution) outside of simulation environments and in real business scenarios. Yesterday, AgiBot also released the safety-certified heavy-duty embodied robot Genie G2 Max, targeting industrial scenarios such as depalletizing and palletizing, material transfer, and production line feeding.
Leitech
AgiBot Releases Embodied Agent Framework Genie Master, Validating Physical RSI in a Convenience Store Scenario
AgiBot has released the embodied Agent framework Genie Master, enabling robots to autonomously identify the causes of failures after deployment, adjust strategies, and accumulate experience. The framework proposes the Embodied Execution Protocol (EEP), which unifies four types of interfaces—capability, guidance, feedback, and continuity—and, through the two routes of Harness RSI and Policy RSI, retains experience in prompts and memory, and in action policy parameters, respectively. The Genie G2 equipped with this framework has already taken up real posts in a convenience store, achieving continuous improvement in tasks such as hot food packaging, picking, and restocking; AgiBot claims this is the first validation of Physical RSI in a real business scenario.
English text is being prepared.Related discussion
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