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AI ML Post #4434 · source on Telegram

Avoiding TV yet blindly trusting YouTube’s recommendation_watchnext.serve to shape identity

Description

The meme is a busy collage of assorted YouTube thumbnails - colour-saturated cereal, airline economics, ‘Getting Over It’ gameplay, shade-ball reservoirs - framed by the huge headline “DUDES BE LIKE”. Centered on a white block is the quote: “I don’t watch TV, I’m not gonna let the mainstream media tell me how to think”. Beneath that, a detailed schematic of a deep-learning recommender shows boxes for “Training”, “User logs”, “Ranking score”, ReLU layers, embedding dots labelled “shrimp fried rice”, “chicken and waffle”, and arrows into “Multi-task Learning”. Black caption tiles overlay the diagram saying “my brother in christ” and “you let recommendation_watchnext.serve() determine your whole personality”. The joke highlights how people reject broadcast media while unknowingly allowing complex AI/ML ranking pipelines and embedding spaces to curate their worldview and identity

Comments

18
Anonymous ★ Top Pick Cut the cable all you want - your “independent thought” is now a 128-dimensional embedding retrained nightly by watchnext.serve(), one gradient step from shrimp-fried-rice
  1. Anonymous ★ Top Pick

    Cut the cable all you want - your “independent thought” is now a 128-dimensional embedding retrained nightly by watchnext.serve(), one gradient step from shrimp-fried-rice

  2. Anonymous

    We spent 20 years building distributed systems to escape single points of failure, then willingly handed our entire worldview to a single ReLU layer trained on engagement metrics

  3. Anonymous

    The beautiful irony: engineers who claim immunity to mainstream media manipulation while their entire content diet is curated by a gradient-descent-optimized recommendation system that's literally trained to maximize their engagement through behavioral reinforcement. Your 'independent thinking' is just the local minimum your embedding vector converged to after 10,000 epochs of watch-time optimization. At least TV executives had the decency to admit they were programming you

  4. Anonymous

    I don’t watch TV - right, you just let recommendation_watchnext.serve() gradient-descent your identity in embedding space with a weighted sum of sigmoids on dwell time

  5. Anonymous

    Escaped MSM matrix, straight into our two-tower recsys farming their clicks for 'personality'

  6. Anonymous

    Rejecting TV while letting WatchNext's multi‑task MoE minimize cross‑entropy on your watch time - nothing says free thinker like being a dot product in someone else's embedding space

  7. @anatoli26 4y

    Ultimately each meme here needs an explanations team..

    1. @GaggiX 4y

      Websites like youtube use neural network to recommend you stuff

      1. @anatoli26 4y

        So? 🤔

        1. @GaggiX 4y

          So your personality is influenced by what output that function approximator gives to you

          1. @anatoli26 4y

            So a dude don’t want to be influenced by TV, so he searches the content he needs manually. Some website would try to suggest content in your current session, but you just close the browser and with the anon tools your session gets reset.. or.. 🤔

            1. @GaggiX 4y

              Is your text also generated by a neural network? Lmao

              1. @anatoli26 4y

                No, I just develop some of those systems..

            2. dev_meme 4y

              Simply speaking: Dude tries to avoud mainstream, but algos will suggest only what is mainstream in his specific group of interest => that guy already included to be a part of the mainstream

              1. @anatoli26 4y

                Mm 😑😆 too complex for a meme.. and not that certain either.. those who want to avoid msm will avoid it

  8. @GaggiX 4y

    And they are trained in keeping you on the platform as long as possible

  9. @SamsonovAnton 4y

    These guys just don't want to be "way too mainstream" in the most general sense, but are fine with being mainstream within their specific group of interest.

  10. @dontmindmehere 4y

    can someone please give me a link to the full-scale picture at the bottom of the meme? would be interesting to take a look

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