ByteDance just unveiled Seedream 4.0 — an image model that unifies generation and editing in one system. What’s New: Ultra-fast & high-res output – generates 2 K images in just ~1.8 s; supports up to 4 K resolution
Unified generation & editing – seamlessly handles
BIG TECH
-

ByteDance Seedream 4.0: Fast Unified Image Generation and Editing
By
–
-

Alexander Wang’s Meta AI Leadership After Scale Acquisition
By
–
Alexander Wang, born January '97 >Co-founded Scale AI in 2016
>Sold Scale AI to Meta for $14 Billions
>Becomes Chief AI Officer, leading Meta Superintelligence Labs
>Data from Scale AI is low quality
>Researchers complain
>LMAO Ranked #1 in the Times Top Grifters of All Time -
Twitter Algorithm Repository and Analytics Dashboard Access
By
–
where to find the algo? https://
github.com/twitter/the-al
gorithm
… p.s. use the analytics dashboard -
X’s Diversity Filters: Algorithm Design for Feed Variety
By
–
X's diversity filters why doesn’t your feed get spammed by 1 person or topic? diversity filters > they cap how many tweets from the an author or subject can show up > features like "author diversity" and "slop score" keep things fresh > variety=more scrolltime=more ads=more X
-
Social Media Algorithm Reputation Scoring and Monetization Impact
By
–
paying for the blue check sets your reputation score to 100 > new accounts start at -128, so you're basically toast without it then the algorithm hits you with > following-to-follower ratio adjustment > and also factors in things like your device and how old your account is
-
Social Media Algorithm Reach Through Relationship Mapping
By
–
and it's not just you, it's who interacts with you > the algorithm uses `realgraph` to model relationships > if accounts that follow and engage with you also engage with someone else, that person’s tweets may be shown to your followers it's contagious reach
-

X Algorithm Downranks Content With Multiple Negative User Signals
By
–
if a tweet is getting > mutes
> blocks
> reports
> not interested clicks
> see fewer posts like this clicks the algorithm actively downranks it – these are negative signals, and they stick (potentially DEBOOSTED FOR 3 MONTHS) X's algo: too many negative signals = invisibility -
X Algorithm Shadowban: Platform Engagement and Moderation Impact
By
–
> stops follow-for-follow spam & fake engagement > following people is now less rewarding for everyone > limits bots & users who follow tons of people just to get attention now, let's talk about how the X algo shadowbans you
-
Twitter’s Three-Stage Ranking System Uses Neural Networks
By
–
the ranking system works in three stages > sourcing tweets, from people you follow and others you don't > scoring them using massive neural networks > mixing everything into a scrollable feed each of those steps affects how, if at all, your tweets travel
-
X Algorithm Visibility: Trust, Reputation, and Engagement Factors
By
–
your visibility is decided by several factors > pagerank-style trust
> reputation graphs
> live engagement scores
> content bundles
> safety filters the X's algo tracks every click, block, mute, reply, and share so, how does it all work together?