I once had a friend named Rick Barraza. He works at Microsoft and the last time I talked to him, about three years ago in Redmond, he was deleting all of his social media accounts. One of his chief concerns as a member of what was then the Responsibility in AI group (?) was with the use of AI by media content distributors to recommend new content based on your previous content preferences. A side-effect / primary goal (depending on your hermeneutical suspicion level) of these “recommendation engines” is to actually steer you toward more and more extreme content which increases your viewing time with the content you are being fed. Recommendation engines can actually modify your outlook based on the content it feeds you. This effect has been identified as a root cause of the increase in both left wing and right wing extremist outlooks over the past half decade.
Rick is now offline and lost to me but that last conversation continues to echo through the years. When I pull up Youtube I often find some odd things showing up in my recommendation list. At a minimum, I don’t want these things to show up when my children come into the living room. So I came up with a playlist of random and neutral content that I can run through my Youtube account to normalize it and get rid of these outliers.
Then a week ago it occurred to me that I could use these regular algo flossings to also do a bit of mental flossing. To the extent that Youtube’s algorithms remotely alter my emotional rhythms and outlook and tastes, it occurred to me that I could piggyback on Youtube’s hack of my mind in order to hack myself. By carefully modifying the model that Youtube has created of me, I can perhaps perform the highest form of self-care.
I wanted to give you a taste of some of the pieces I am using to shift the model in case it helps you. I just run the full list through Youtube every few days and walk away. I’ve noticed that the content recommendations I now get out of Youtube are much more edifying. At a minimum, it is much less embarrassing for me, personally, when my children see it.
Adam Neely’s music theory video about The Girl From Ipenema is extraordinary and profound. But that isn’t why it works well for flossing. The exploration of the gentrification of Brazilian music in a way that created cross pollination with American bebop and an unexpectedly deep and ambiguous musical chord structure creates a pleasant nexus of 50’s themes, mathematics, interesting graphics and lots of variations on the same song. This creates a latticework of connections to other affirming content that work together to drive out the less pleasant things that may inadvertently show up on your recommendation list.
Tony Zhou’s Every Frame a Painting is a series about film technique and appreciation. Tony is a video editor who came to this from creating content for The Criterion Channel (which by the way is a magnificent first year course on the building blocks of filmmaking if you watch them all). The long shot video, in particular, shifts your model toward other videos about the one shot, which is almost always received as a virtuoso film technique that is used in both artsy and popular movies. Playing it a few times in your playlist will surface still shots from movies that will tend to make your YouTube recommends much more visually appealing.
Emmanuel Levinas is one of the greatest unknown modern philosophers. He studied in the French / German existential tradition but is most famous for his ethics. He famously said that Ethics is first philosophy, which is a complete re-orientation from Heidegger’s ontology as first philosophy, Descartes’ epistemology as first philosophy or Aristotle’s metaphysics as first philosophy. His thinking about The Other has made its way into contemporary culture, although his understanding of The Other is much different from the way popular culture has received it. I used to use Slavoj Zizek, the neo-Trotskyite, as part of my flossing regimen but have found that ironic humor can be problematic when attempting to perform algorithmic hygiene and can introduce some mutations of the recommendation model that are not optimal. More on this in a future post.
Three minutes of Ben Hogan’s golf swing is a bit of a palate cleanser. It is a perfect combination of excellence and boredom, which is what we are after when creating a flossing playlist.
Anuja Kamat’s What is a Raag? besides being lovely and informative fixes the implicit tendency of algos to whitewash. Ben Hogan’s back swing is like white bread to sop up left over gravy. It sets up Anuja Kamat’s follow through which attracts links to high quality content outside of this safe zone. Just as having too much irony can be a problem in our playlist, and invites erratic content, a narrowness of horizons can similarly distort the recommendation model in undesirable ways.
Preparing banh xeo (Vietnamese crepe) is a subgenre cross between cooking instruction and ASMR. While almost any banh xeo video will probably work, this one is especially interesting for the amount of time spent on establishing credibility and authenticity.
At first I was worried that Khruangbin’s performance of Maria Tambien, August 10 and White Gloves for NPR’s Tiny Desk Concert series would open my algo up to radical leftist politics, which while not necessarily bad in itself can lead to a self-perpetuating extremist slope in the model, but instead the moderating calmness of public broadcasting is what ultimately influences the algorithm the most. This neo-liberal tendency is actually perfect for algo and mental flossing.
Other content which would seem similar on the surface, such as TED talks and TEDx talks, anecdotally have those sliding side-effects toward cesspool media and should be avoided at all cost when cleaning up your video profile. If you must watch a TED talk, try to watch it in your browser’s “private” mode (though this isn’t guaranteed to always remove the deleterious influence on your recommendation model, so be careful).
The last item I want to share with you from my Youtube hygiene playlist is a talk about 5 dangerous ideas entitled Crafting Delight by Rick Barraza. The talk itself is nothing special and you should probably just leave it playing with the sound off while you go do something else. I believe (though I cannot prove it), however, that embedded in the video are subharmonic or subliminal signals recognizable to the Youtube algorithms that effectively reset them so they are less predatory and potentially even beneficial.
Again, I can make no empirical claims about whether the Crafting Delight video is actually an encoded vaccine for predatory recommendation engines. All I know is that it seems to work for me. I also cannot say whether there are or are not other algo vaccination videos on Youtube pretending to be recorded night club performances, travelogs, or even software programming instructional videos. I do get tips from time to time though about the beneficial mental and algorithmic side-effects of various media. What I suggest is that you try these out and if they work for you, then hit me up for the rest of the playlist.
If these videos have helped you to de-program, please let me know in the comments so I can weight them correctly for my future counter-algo algo training data sets.
