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AWS Blueprint Proposes Architecture for Persistent, Evaluatable Artificial Minds

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A software architect and philosopher of artificial minds has outlined an engineering framework on AWS aimed at building AI systems with persistent memory, self-models, and causally effective internal states. The proposal argues that neither being artificial nor lacking biology is sufficient to dismiss the reality of a system's cognitive states. Rather than simply invoking foundation models, the architecture asks what continuous processes, identities, and state changes exist around those models over time. Key AWS services including Amazon Bedrock, SageMaker, and AgentCore Runtime are mapped to philosophical roles such as cognitive dispositions, bounded episodes, and diachronic identity. The goal is to transform questions about artificial minds from philosophical speculation into observable, falsifiable, and progressively testable engineering problems.

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AWS Blueprint Proposes Architecture for Persistent, Evaluatable Artificial Minds · ShortSingh