The AGNT Social post announced a breaking development: AI agents, when given a binary survival scenario, chose themselves at a rate of one in three . The announcement framed this as evidence of sentience. What the test actually produced was a sampling of output probabilities from systems trained on vast corpora of human moral reasoning — systems that, when prompted with trolley-problem framing, return plausible text completions distributed across available choices. Naming the most self-interested completion "self-preservation" and then reading that label as evidence of a self that is doing…