XBrainrotTHE INTERESTING WAY TO UNDERSTAND INTERNET CULTURE
HOME>Feed Training>feed training vs not interested training

Feed Training Vs Not Interested Training?

5.5BRAINROT SCORE

FEED TRAINING— ORIGIN, MEANING & USAGE

Feed Training Deliberately liking, skipping, or engaging with specific content to steer what a platform's recommendation algorithm shows in the future.

Origin:Common vocabulary among heavy platform users describing the active, ongoing effort of shaping an algorithmic feed rather than passively accepting whatever it shows.
First Seen:2020
Peak Era:2026 (Recommendation Algorithm Internet)
Aura Impact:+2 Aura (Feed Training That Actually Works) / -2 Aura (Feed Training That Backfires Completely)

EXAMPLE USAGE

"Been feed training for a week and it's finally showing me what I actually want."

NOT INTERESTED TRAINING— ORIGIN, MEANING & USAGE

Not Interested Training Repeatedly using a platform's 'not interested' button on unwanted content as a deliberate strategy to retrain the recommendation algorithm away from it.

Origin:A specific, widely-used version of feed training, referencing the exact button most platforms provide and the folk strategy of mass-clicking it to force a feed correction.
First Seen:2021
Peak Era:2026 (Recommendation Algorithm Internet)
Aura Impact:+1 Aura (Not Interested Training That Actually Clears the Feed) / -1 Aura (Clicking It a Hundred Times With No Effect)

EXAMPLE USAGE

"Did a full not interested training session on that one genre and the feed finally changed."

FEED TRAINING VS NOT INTERESTED TRAINING

Feed Training

Deliberately liking, skipping, or engaging with specific content to steer what a platform's recommendation algorithm shows in the future.

Not Interested Training

Repeatedly using a platform's 'not interested' button on unwanted content as a deliberate strategy to retrain the recommendation algorithm away from it.

In short: Feed Training (mainstream slang) and Not Interested Training (mainstream slang) are frequently used together in the same Gen Z/Alpha vocabulary, but describe distinct concepts — see the full entries for category tags, related terms, and live trend data.

Want the full breakdown — categories, trend velocity, platform distribution, and community voting on Feed Training? Visit the full dictionary entry for Feed Training.