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Singapore’s Agnes AI tests learning without full retraining
Agnes AI, an AI platform from Singapore-based Sapiens AI, said it tested two self-improvement methods that did not need full model retraining.
Its robotic-arm results were limited to simulation.
In one Honor of Kings experiment, Agnes AI said an AI coach rewrote the team’s playbook and lifted the win rate from 0% to 100% after five rounds under the test conditions.
A lightweight adaptation, Mini Honor of Kings, has also appeared in research as a multi-agent AI testbed.
In a simulated robotic-arm task, Agnes AI said partial model updates lifted the task success rate from about 30% to around 90%, reflecting broader robotics research into online adaptation.
The methods are integrated into Agnes Harness, which a public repository describes as pluggable.
Sapiens AI has also raised US$20 million for its AI platform.
🔗 Source: Agnes AI
