How bysearch tells real from fake: cross-modal AI in the age of generated content

In Chinese mythology, bysearch is the beast that knows all things — including how to tell the real from the false. The legend is why we named our model after it, and the name sets the standard: in an age when machines can generate convincing text, images, audio, and video, knowing things is no longer enough.

bysearch was designed to unify understanding, expression, and measurement across modalities. The measurement half is what makes verification possible. Because the model can represent what it understands — and score how well generated content matches reality — it can flag generated text, spot manipulated images, and audit video for signs of alteration.

Inside PAI Workstation, this shows up quietly: quality-assurance checks on outbound messages, verification of inbound content, and trust scoring on conversations. None of it is visible as a feature. All of it is visible as trust.

When anything can be generated, trust becomes the scarcest resource. Building a model that guards it is, we think, the point.

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