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The machinery behind what you see.

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Internet culture and platform mechanics: micro-drama apps, viral storylines, recommendation systems, AI slop and the people caught inside all of it.

A thin pink strawberry cake in an eight-inch pan beside a tall frosted slice it could not have produced.

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That AI Strawberry Cake Cannot Come From That Batter

A glossy clip promised a tall strawberry layer cake from one thin bowl of batter. Reconstructing the recipe exposed missing leavener, missing fat and an impossible amount of cake.

Priya Nandakumar · 8 min read

A phone showing a nine-photo CapCut template beside the same video saved as an uncredited file.

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CapCut Credits the Template Until the Export Drops It

A template maker can design the timing, cuts and effects, then disappear while someone else’s reuse goes viral. The credit depends less on authorship than on which button the next user taps.

Cass Ito · 7 min read

A phone showing a Reddit story video with white captions over Minecraft parkour footage.

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Reddit’s AI Voice Became a Factory Setting for Video

Reddit-story videos work because the script, voice, captions and background can all be swapped without changing the product. The apparent genre is really a standardized production line.

Reuben Adeyemi · 8 min read

Laptop showing a TTS script with “Reading, Pennsylvania” beside an audio waveform and headphones.

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Why AI Voiceovers Keep Calling Reading “REE-ding”

Recurring AI pronunciation errors are more than bad narration. They can expose shared text-to-speech tools, copied scripts and the assembly lines behind supposedly independent channels.

Cass Ito · 7 min read

A phone shows a synthetic presenter above a clip of a red mug tipping at the edge of a kitchen counter.

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The AI Reaction Face Never Had to Watch the Falling Mug

A caption, synthetic voice and avatar can turn recycled footage into commentary without anyone seeing the original. Platforms reward the measurable performance of reaction, not proof that one occurred.

Cass Ito · 7 min read

A phone displaying the fake Pentagon smoke image with a Community Notes label beneath the post.

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The Fake Pentagon Explosion Outran Community Notes

Community Notes can reach consensus and still lose the correction race. The fake Pentagon explosion showed how timing, ranking and copied posts split a claim from its fact-check.

Reuben Adeyemi · 8 min read

A blue ceramic frog mug beside a phone displaying TikTok’s video keyword settings.

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TikTok Keyword Filters Miss What the Video Still Says

TikTok’s viewer filters can reduce a subject without removing it. A controlled test reveals which video signals may trigger the filter and why spelling tricks are only part of the leak.

Reuben Adeyemi · 8 min read

A phone displaying a pink Shrimp Jesus image and its Facebook comment thread on a plain kitchen table.

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Facebook’s Shrimp Jesus Wins When You Correct It

Obvious AI fakery is not failing at realism. It is cheap, renewable comment bait built for a feed that can treat correction, argument and bewilderment as evidence of interest.

Cass Ito · 7 min read

A phone showing TikTok search beside a white hard-shell LED face mask with black elastic straps.

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TikTok Autocomplete Adds “Scam” Before You Search

TikTok’s search box can append scandal language to a creator or product before the user has made any allegation. The suggestion looks like evidence of consensus, even when it only predicts attention.

Reuben Adeyemi · 8 min read

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