The funny thing is AI is mostly calculus underneath linear algebra and stats It's calculus all the way down
DATA
-
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 Tweet Ranking: Light and Heavy Ranker Algorithms Explained
By
–
to show up on someone's For You page, your tweet has to go through 1. light ranker: a fast pre-filter algorithm, a `maybe` or `no` decision maker 2. heavy ranker: a deeper neural network that scores tweets using thousands of features to predict engagement likelihood
-
X’s SimClusters: Interest-Based Recommendation Algorithm Explained
By
–
X's simclusters how does X show your tweet to people who don't follow you? simclusters > it groups users into interest-based communities > then shows you posts popular in your clusters > the algo doesn't care who follows you > it cares who engages in a similar fashion to you
-
Detailed AI Tool Review: SQLite Analysis and Data Visualization
By
–
Here's my detailed review – I put it through its paces, reverse engineered it a bit, then used it for some simple SQLite analysis followed by the same difficult US Census data chart recreation task that I posed to ChatGPT last night
-
Optimize Ad Performance: Cost Analysis and Creative Element Diagnosis
By
–
Grab your ads that feature the lowest cost per 1k account reach over L30. Look historical since the beginning of the year. Lump those ads into scaling campaigns (the post IDs). Take those ads and place them into Gemini and ask Gemini to diagnose the elements of the ad.
-
Preventing Big Tech Monopoly Through Adversarial Interoperability
By
–
In theory I’m down w it. But in a world where a handful of companies ultimately benefit from such adversarial interop while others are simply bending to their terms (via data extraction and controlling infra/frameworks/devices/os/etc you know) we obviously need a way to prevent
-
SAS Innovate 2026 Call for Content: Data and AI Conference
By
–
It’s our Call for Content’s debut . You heard it right—SAS Innovate 2026 is back and we will be in Grapevine, TX with thousands of data and AI enthusiasts. Make your proposal specific, outcome-driven & demo-ready. Our expert panel reviews each submission by Nov. 7!
-
Exa Search grounds LLMs in real-time APIs to reduce hallucinations
By
–
Exa Search might be the most practical piece. LLMs hallucinate less when grounded in real-time APIs and docs.
-
Duolingo’s Data Moat from Years of Learning Data
By
–
3/ Data Moat Duolingo’s edge? Years of learning data → AI no one else can build. Ask:
• Are we collecting exclusive, structured data?
• Does every user make us smarter? No? You’re building a demo, not a product.