Seeing some great amateur code analysis from the Twitter recommender release. Waiting for hell to break loose when when this is discovered
ourdumbfuture
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East coast enthusiast. Used to work in big tech. Posting about tech+society/software/labor issues/rap music mostly, probably.
Maybe it's just me but extremely strong 'Lennie from Of Mice and Men' energy on this illustration
Reminded this morning that the NYT Oped pages maybe one of the worst places on the internet
Was watching the trailer for the Jonathan Lipnicki movie 'Little Vampires' c. 2000 (dont ask) and found a lil relic of the online experience in a transition period.
Just started reading 'Escape from Model Land' by Erica Thompson this AM about how math models shape our society (I think). So far so good!
Tech cos love this ‘algorithmic transparency’ stuff because it allows them to refocus attention away from the business decisions driving the core functionality and intention of these recommendation algorithms (not to mention, the data collection/aggregation practices that fuel them)
The ad industry tried this with AdChoices (tiny box in the upper right hand corner of some ads, try it sometime).
https://www.axios.com/2022/12/20/tiktok-explain-video-recommendations-algorithm
