AwesomeAgentCortex retweetledi
I’ve been digging through the newly open-sourced For You system, and the biggest takeaway is uncomfortable:
The algorithm is not “against” you.
It’s scoring how people actually behave around your content.
And behavior is brutally honest.
A like helps, sure.
But replies, dwell time, profile clicks, shares, and follows - these are stronger proof signals.
On the flip side, “not interested”, mutes, blocks, and reports are explicit negative signals.
So if a post gets surface engagement but low intent, the model can still treat it as weak.
That’s why “viral-looking” posts often die fast, and “lower-like” posts with strong conversation can keep spreading.
Another important shift:
You’re not just competing inside your follower bubble anymore.
In-network + out-of-network candidates get ranked through the same behavioral lens.
If your own followers don’t stop and engage, the system has no reason to push you wider.
This also explains why random posting hurts:
one day AI, one day memes, one day macro, one day politics.
Humans may call it versatility.
Retrieval models call it weak identity.
If you want a consistent distribution now:
- post with intent, not volume panic
- write hooks that create curiosity + response
- make the body worth reading (retention > noise)
- invite specific replies, not generic agreement
- optimize your profile like a landing page
- stay topically legible long enough for the model to place you correctly
The game is simpler than people want to admit:
Stop trying to trick the feed.
Start giving the feed better evidence.
Distribution follows proof.
StarPlatinum@StarPlatinum_
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