Re:Instagram’s co-founders are back with Artifact, a kind of...
by lonk11 on Tuesday January 31, 2023 @10:19PM
(#34605904)
To help with discovery of new RSS feeds I use this mechanism for https://linklonk.com - when you upvote or submit a link, you connect (subscribe) to all users that upvoted and to all RSS feeds that posted that link.
As you rate content you get connected to more and more sources.
The way it solves the oversubscription problem is - whenever a user/feed posts something - your connection to them goes down slightly. As a result you see content from sources with the highest signal-to-noise ratio first.
The differences from Artifact is:
- Artifact uses implicit signals such as read time; LinkLonk uses your explicit upvotes. I think implicit signals are fine for entertainment content, but not for informational content. Time spent is not equal to becoming better informed. I think only you can be a judge of that.
- Artifact uses an opaque AI algorithm optimized to do what they want; LinkLonk uses a transparent algorithm, where each recommendation comes from a feed or a user that you have co-liked items in common.
For example, if you submit this link: https://stratechery.com/2023/netflixs-new-chapter/ then you will get connected to two RSS feeds that posted that link: https://stratechery.com/feed/ and https://hnrss.org/newest?points=100 (ie, the HN feed of items with >100 points)
As you rate content you get connected to more and more sources.
The way it solves the oversubscription problem is - whenever a user/feed posts something - your connection to them goes down slightly. As a result you see content from sources with the highest signal-to-noise ratio first.
The differences from Artifact is:
- Artifact uses implicit signals such as read time; LinkLonk uses your explicit upvotes. I think implicit signals are fine for entertainment content, but not for informational content. Time spent is not equal to becoming better informed. I think only you can be a judge of that.
- Artifact uses an opaque AI algorithm optimized to do what they want; LinkLonk uses a transparent algorithm, where each recommendation comes from a feed or a user that you have co-liked items in common.