AI can understand the world across text, images, audio, video, documents, and space

Can it reason over screenshots, documents, and forms?

Tests whether the system can extract and use meaning from dense visual documents and real interface artifacts.

Document and screen understanding is one of the more deployment-ready multimodal capabilities already visible in practice.

Can it combine multiple modalities into one coherent conclusion?

Measures whether text, images, charts, and other signals are integrated rather than treated as unrelated fragments.

Cross-modal evidence synthesis is already strong in many analysis tasks when the sources are legible and the objective is clear.

Can it track state across temporal sequences?

Tests whether the system can reason about events and changes that unfold over time rather than in a single frame.

Temporal reasoning is clearly improving, but still lags behind static-image and document understanding.

Can it solve spatial and diagrammatic reasoning tasks?

Measures reasoning over geometry, layout, diagrams, and visually structured state.

Spatial and diagram reasoning is now strong on many benchmarked tasks, especially when the representation is explicit.