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@signulll (2026-05-05) claims Apple Photos and Google Photos are "deeply broken"…
Brief
@signulll argues Apple Photos and Google Photos are "deeply broken": they hide users' richest behavioral data—locations, people, food, relationships, health, taste, regressions, moods—behind a time-sorted grid. Features like Face Clustering and Memories are decorative; the post urges an AI-native library layer to understand people, calling it a "huge huge opportunity" despite implementation difficulty.
Why it matters
@signulll (2026-05-05) claims Apple Photos and Google Photos are "deeply broken" because they still present users' libraries as a time-sorted grid of squares instead of treating them as data for understanding behavior.
Key details
- Photos are the "densest behavioral corpus"—containing locations, people, food, relationships, health, taste, regressions, and moods—while Face Clustering and Memories are merely decorative; the author calls an AI-native library layer a "huge huge opportunity" though non-trivial to build.