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Equation 3 · Part 2 · Ten Failure Modes That Define Multimodal AI Systems

Symbol s_multi

Δ=smulti−stext\Delta = s_{\text{multi}} - s_{\text{text}}
smultis_{\text{multi}}

What this part means

the large.

Its job in the formula

sms_multi is one of the signed contributions combined to compute the quantity on the left.

Where the article explains it

A large smultis_{\text{multi}} with a small Δ\Delta is not evidence of multimodal competence; it is evidence that the benchmark, not the model, is doing something unimodal.

The passage around this formula

The finding motivates a simple, checkable decomposition rather than a new metric: for any multimodal benchmark, let smultis_{\text{multi}} be the score with all modalities present and stexts_{\text{text}} be the same benchmark scored with the non-text modality removed. The quantity Δ=smulti−stext\Delta = s_{\text{multi}} - s_{\text{text}}. is the actual multimodal increment — what the removed channel contributed beyond what text alone already bought. A large…

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Learn the underlying idea

A subscript is a label attached below a symbol. It often selects a time step, component, category, or member of a sequence.

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Sources cited in the article section

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