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Business automation under deviation test: how reflection architecture addresses AI agents' fragility M. Jay M. Jay
Intelligence

Business automation under deviation test: how reflection architecture addresses AI agents' fragility

Listen to this article Read by Anchor Modern organizations rely on rapid automation of workflow paths, yet AI-based solutions remain prone to failure when they encounter unstable environments, evolving policies, and delayed operational feedback. Although large language models and reinforcement-learning algorithms provide a partial ability to adapt, they
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2 min read
Agent agreement is not evidence of correctness; how does the SAUCE framework measure parallel systems’ confusion? M. Jay M. Jay
Intelligence

Agent agreement is not evidence of correctness; how does the SAUCE framework measure parallel systems’ confusion?

Listen to this article Read by Anchor Development teams building multi-agent reasoning systems rely on a common hypothesis that deploying several AI models to solve the same problem through successive rounds of interaction and output aggregation will produce a correct answer. However, a recent research study published on the
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2 min read