@DavidSacks Capitalism rewards those who recognize opportunities to grow. AI development will never pause because the fundamental goal of any enterprise is to create profit.
So don’t worry and embrace it.
@elonmusk@SpaceXAI Coding models may not need to be the absolute best to become the default. Speed, cost and reliability can matter more when you’re using them all day.
Think about a time when you were genuinely happy.
Were you angry? Envious? Jealous?
NEVER.
Stay close to people who are genuinely happy with their own lives. They have little reason to wish you harm.
#Connect
Another X algorithm myth-busting thread.
"1 reply = 27 likes"
Not true. Weights apply to predicted probabilities, not raw engagement counts.
"1 report cancels 468 likes"
Misleading. Reports are far rarer than likes, so they get a larger weight.
"Premium = 4× reach"
No Premium multiplier appears in the published ranking weights.
"Hashtags boost reach"
No hashtag boost appears in the ranking code.
❗️Where the code is silent, call it a hypothesis.
7 / The common thread
None of these labels delete your post or notify you. They just switch off part of your audience.
The only way to see them: track the share of impressions from non-followers, not total numbers.
Did you know your post has to pass a separate visibility layer to reach For You?
Ranking decides how much reach your post gets.
Visibility filters decide whether it gets shown at all.
So you can have a great post with a strong ranking score and still get buried by a visibility rule.
Most people optimize for ranking and ignore the filters.
Check👇 for the filters X uses and how to avoid triggering them.
6 / COMPROMISED
CompromisedUserLabelRule: system decides the owner no longer controls the account.
Example: password leaks, 200 "token giveaway" posts go out at 4am. You clean up by morning. The label stays. Reach is dead until it's lifted.
Before: 2FA via app, not SMS. After: rotate password, revoke all sessions, then contact support.
5 / IMPERSONATION
ImpersonationHighPrecisionUserLabelRule. "High precision" = fires rarely, but when it does it's almost always right. Hard to appeal.
The risk isn't you copying someone. It's someone copying your brand and getting verified first — then YOU look like the clone.
Verify early. (Inference, not code.)
4 / SPAM (account level)
SpamHighRecallUserLabelRule — same signal, but the label goes on YOU, not the post.
Post label kills one post. Account label cuts everything you publish until it's removed.
How you get there: a week of template threads. One is a post. A pattern is an account.
3 / SPAM (post level)
SpamTweetLabelRule / SpamHighRecallDropRule: post read as spam → dropped.
"High recall" = tuned to catch as much spam as possible, false positives accepted. Honest accounts get hit.
Example: 40 replies of "Great post! More in my bio" in an hour. Each one is a candidate.
2 / MALICIOUS_URL
MaliciousUrlOonDropRule: a link flagged as suspicious drops the post for non-followers. Text quality doesn't matter.
Example: https://t.co/Z0Biq7rN3C → tracker → landing page. Every hop is a redirect.
Fix: direct link, clean root domain, no shorteners.
1 / DO_NOT_AMPLIFY
X's code has DoNotAmplifyOonDropRule. Your post isn't deleted — it's hidden from everyone who doesn't follow you.
Followers see it. Stats look alive. New audience: zero.
Symptom: follower engagement normal, non-follower impressions ~0. That's a label, not "the algorithm changed."