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Real-time AI hallucination detection with timeplus: A chess example
As AI agents get smarter and more independent, what happens when they make mistakes? Our CTO, Gang Tao, built an app where two AI agents play chess against each other. It looks simple, but it's actually a great way to test and learn how AI agents behave. Using Timeplus, Gang monitors the agents for hallucinations: making illegal moves or moving twice.
I recently built an application where two AI agents play chess against each other (based on the autogen core samples). The AI agent works independently, deciding which functions to call based on the task instructions. But imagine if these AI agents were handling money, making medical decisions, or controlling self-driving cars.
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