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noplace, a mashup of Twitter and Myspace for Gen Z, hits No. 1 on the App Store (techcrunch.com)

submitted 4 months ago by [email protected] to c/[email protected]

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[–] [email protected] 170 points 4 months ago* (last edited 4 months ago) (4 children)

Instead of algorithms, noplace leverages AI technology to drive suggestions and curation.

Instead of algorithms, noplace leverages algorithms to drive suggestions and curation

[–] [email protected] 44 points 4 months ago (2 children)

Most bullshit take I have ever seen. You can't replace a recommendation algorithm with AI, since its basically the same.

[–] [email protected] 10 points 4 months ago

Not basically, most (current) recommendation systems are AI/ML based. Any big platform is using AI/ML recommendation algorithms.

[–] Gsus4 1 points 4 months ago* (last edited 4 months ago) (1 children)

You used to have (still have, I think) very simple friends-of-friends algos that are not ML, they are just graph connectivity and distance with some union-joins thrown in the middle. They work for recommendations like steam games of what people who like this game also liked.

[–] [email protected] 2 points 4 months ago

OK, thu is an example of a non AI recommendation algorithm. However, what we see now(you watched x so you like y) is basically AI

[–] [email protected] 16 points 4 months ago

thanks i hate it here

[–] [email protected] 10 points 4 months ago

So disruptive!

[–] Gsus4 5 points 4 months ago (1 children)

It's potentially worse, because before you may have had an algorithm that a human could fine tune or whistleblow on. Now if it is trained on large datasets, the resulting algorithm is usually a blackbox weight matrix, they probably have no idea what pattern it is optimizing :S

[–] [email protected] 1 points 4 months ago (1 children)

Nearly every social media has used Machine Learning to create personalised since a very long time, it was just not marketed as AI..

[–] Gsus4 2 points 4 months ago* (last edited 4 months ago)

Yea, by "before" I guess I meant before 2013...which leaves more "after" than "before" for social media 😅 .