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Published equation contexts

L(t)L(t)

Why this formula appears here

Whether on-device AI becomes the default computing substrate for everyday tasks — the thing a phone or a laptop does locally as a matter of course, with the cloud as the exception rather than the rule — is not a third axis; it is what the other two jointly produce, and testing that jointness is exactly what the room’s validation bench exists to do. Write P(t) for the share of everyday-task requests an on-device model can handle at rough parity with a cloud-frontier model — Axis A’s own proxy — and L(t) for the share of deployments where on-device personalization is reliable enough that a user or an operator trusts it without a cloud fallback — Axis B’s own proxy. A device that is fast but…

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LL

Symbol L

L is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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tt

Symbol t

t is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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Published contexts (2)

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L(t)L(t)

Equation 2 · Edge AI & Electronics

Small and On-Device AI in 2035: Scenarios and Falsifiers

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

Whether on-device AI becomes the default computing substrate for everyday tasks — the thing a phone or a laptop does locally as a matter of course, with the cloud as the exception rather than the rule — is not a third axis; it is what the other two jointly produce, and testing that jointness is exactly what the room’s validation bench exists to do. Write P(t) for the share of everyday-task requests an on-device model can handle at rough parity with a cloud-frontier model — Axis A’s own proxy — and L(t) for the share of deployments where on-device personalization is reliable enough that a user or an operator trusts it without a cloud fallback — Axis B’s own proxy. A device that is fast but…

Equation guide → · Article →
L(t)L(t)

Equation 7 · Edge AI & Electronics

Small and On-Device AI in 2035: Scenarios and Falsifiers

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

D(t) stays at zero however high either term climbs alone. Axis A determines whether P(t) can plausibly clear p∗p^{*} within this article’s horizon; Axis B determines whether L(t) can. Neither can be inferred from the other, which is why they are kept as two axes rather than folded into one.

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