Happi — Smile Based Content app for iPhone and iPad
Developer: Minty Networks, LLC.
First release : 02 Oct 2019
App size: 9.56 Mb
Social media feed algorithms get a lot of hate these days...
A feed based on an algorithm is very efficient at showing specific kinds of content more frequently than others, and sorting out what should be shown to match a given criteria. If youve used Social Media these past few years you are aware that this is true, its just likely not filtering based on a criteria you value.
Feed Algorithms are designed around increasing a given metric, for a large social media platform, that metric might be "revenue". The more ads you see the more money they make. When an algorithm filters the feed to optimize towards this it may end up "learning" to show boring content frequently, as this causes users to scroll away to the next post more frequently, causing you to see more ads as you are scrolling more and staying on non-ad posts less.
Its not the fault of the companies designing these feeds, they have to make share-holders happy, but it does have two bad effects: It gives algorithms a bad name and it degrades the content value on platforms as they shift from having content many people enjoy, to having content that causes many people to see more ads, even if theyre having a less fun time.
It is possible that algorithms can be used in feeds that would make your feed 100x better (by your standards, not a shareholders) and you would be in love with what algorithms have to offer!
Imagine an algorithm that filters the feed based on your emotions, and the algorithm learns to show content that will increase your serotonin, dopamine, and overall happiness.
Welcome to Happi!
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Disclaimer: Happi works by using an autonomous A.I., that runs locally and privately, which scans emotional response via your devices front facing camera. No photos are ever stored, only emotional response data is sent to our servers. For more information please refer to our privacy policy.
Technical note: Happis face scanning A.I. runs at 8 FPS with low resolution captures as to minimize battery life usage.