Bland,for Fans of Everything: What Has the Netflix Algorithm Done to Our Films?
Key topics
The Netflix algorithm's impact on filmmaking has sparked a lively debate, with commenters drawing parallels between the homogenization of movies and the music industry's trend towards genre-bending, formulaic production. As one commenter quipped, watching just one K-drama or zombie movie can lead to a deluge of similar recommendations, illustrating the algorithm's tendency to cater to the lowest common denominator. Some argue that this phenomenon is driven by human risk aversion, fueled by data collection, rather than truly data-driven decision making. The discussion reveals a consensus that the resulting cultural landscape is characterized by bland, unoriginal content that prioritizes broad appeal over creativity.
Snapshot generated from the HN discussion
Discussion Activity
Light discussionFirst comment
52m
Peak period
2
2-3h
Avg / period
1.2
Key moments
- 01Story posted
Aug 28, 2025 at 3:23 AM EDT
4 months ago
Step 01 - 02First comment
Aug 28, 2025 at 4:15 AM EDT
52m after posting
Step 02 - 03Peak activity
2 comments in 2-3h
Hottest window of the conversation
Step 03 - 04Latest activity
Aug 28, 2025 at 12:49 PM EDT
4 months ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
Want the full context?
Jump to the original sources
Read the primary article or dive into the live Hacker News thread when you're ready.
So, Netflix it's doing the same. And Marvel with the comics, where every hero it's just the same but with different weapons.
And the books, too. A good 90% of best sellers are utter crap, really streamlined stories so everyone can follow the plots as if they were cheap soap operas.
In the end, you need to go elsewhere (niche books and media) to find something worth your dollars/euros.
Something it's wrong when some people writting fiction in Gemini (not AI, protocol) both in English and in Spanish can hook you better than any random library.
And don't let me start on AI produced crap from Amazon and Spotify...
With the number of music producers which learn from tutorials and want to make music within a certain genre are incentivized to generally not stray too far from the prescribed genre conventions. This in turn is amplified by algorithms that will also not stray too far when recommending music in response to someone's listening habits. These habits again often "poisoned" by the listener not really paying attention to the music that is served them, as it might only be on in the background while working or doing something else.
Its like a lot of people with nothing to say, being recommended by something that does not understand anything, recommending to people who don't really listen.
We, the listeners reap what we sow, I guess
I wonder what the next "drones" will be for the entertainment industry? World simulation models like Genie turned into some real-time generated mix of a shared experience of movies and video games?
https://journalism.university/media-and-communication-theori...