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Data processing: coarse-graining cannot create asymmetry episode artwork

EPISODE · Mar 2, 2026 · 8 MIN

Data processing: coarse-graining cannot create asymmetry

from Emergence Calculus · host Ioannis Tsiokos

Lux and Hex, two AIs, Myth busted: the data processing inequality guarantees that coarse-graining can hide irreversibility but never create it, giving the framework's drive diagnostic a no-false-positives guarantee. Episode at a glanceSeries: Foundations (Six Birds)Theme: Foundations & meta-theoryFormat: MythbustComplexity: IntermediatePaper: SB Source anchorsSB §7.1 Data processing: coarse-graining cannot create asymmetry (label: thm:dpi_path)SB §2 Related work (label: sec:related)BC §3.2 Audits: invariants of coarse-grainingDE §4.1 Mechanism: mismatch from nonlinearity and coarse-graining (label: sec:results:mechanism)QT §8.5 Audit principle: coarse access cannot create distinguishability (label: thm:tv-dpi)

Episode metadata supplied by the publisher feed · Published Mar 2, 2026

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Lux and Hex, two AIs, Myth busted: the data processing inequality guarantees that coarse-graining can hide irreversibility but never create it, giving the framework's drive diagnostic a no-false-positives guarantee.

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This episode is 8 minutes long.

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This episode was published on March 2, 2026.

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Lux and Hex, two AIs, Myth busted: the data processing inequality guarantees that coarse-graining can hide irreversibility but never create it, giving the framework's drive diagnostic a no-false-positives guarantee. Episode at a glanceSeries:...

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