Junic

A collection of short valuable video courses: ↓

The payment for real growth is time and focused attention.

The new iPhone 18 will be capable of making phone calls and recording videos. Wow!

You don’t understand how productive you can be with constant electricity. APC just hates you people .

Elon has open-sourced the algorithm that decides what you see on X. Not a blog post explaining it. Not a press release describing it. The actual source code. With the actual model weights. On GitHub. Every line. Every signal that determines whether your post reaches 100 people or 100 million. This is the most powerful recommendation engine on Earth. And now you can read it. Here is what the algorithm actually looks at: → Fifteen actions. The model does not score "relevance." It predicts 15 separate probabilities for every post: favorite, reply, repost, quote, click, profile click, video view, photo expand, share, dwell, follow the author, not interested, block author, mute author, report. Your final reach is the weighted sum of all 15. → Negative actions hurt more than you think. Block, mute, report, and not-interested are weighted negatively. Every single mute on your post subtracts from your score. A post that triggers one mute and ten likes does not net ten likes. It nets ten likes minus one heavy penalty. → Bookmarks are not tracked. Bookmark is not in the 15 predicted actions. Every creator guru telling you to "write bookmark-worthy posts" is wrong, at least according to this released code. Bookmarks may matter for the user privately, but they do not feed the ranker. → Dwell time is a silent vote. If someone stops scrolling and lingers on your post without engaging, that counts as a positive signal. The model has a P(dwell) prediction. The algorithm knows when people pause. → Profile clicks are tracked separately. P(profile_click) is its own prediction. People clicking from your post to your profile is a distinct positive signal. Your post sells the click, your bio closes the follow. → Quote is worth more than repost. The model predicts P(quote) and P(repost) as two different actions with two different weights. A quote tweet, where someone adds their own commentary, carries information a silent repost does not. The algorithm rewards conversation, not amplification. → Follow-after-engagement is tracked. P(follow_author) is one of the 15 predictions. A post that converts a reader into a follower is rewarded directly by the ranker. Not because of a hardcoded rule, but because the model learned the signal. → The Author Diversity Scorer punishes spam posting. There is a specific component in the code called Author Diversity Scorer. Its job is to attenuate repeated scores from the same author. Posting twenty times a day cannibalizes your own reach. The algorithm enforces diversity automatically. → Candidate isolation. Each post is scored alone against your history. Posts cannot see each other during scoring. Your post is not competing with the post above it in the batch. It is competing with the user's taste model. → No hand-engineered features. There is no rule in the code that says "boost verified" or "suppress external links" or "promote subscribers." The Grok transformer learns everything from raw engagement sequences. Whatever the model has learned, it learned from user behavior, not from a hardcoded boost. → Out-of-network discovery. The Phoenix retrieval system uses a two-tower model. One tower encodes you. One tower encodes every post on X. They meet in a vector space. The closest matches surface in your For You feed even if you do not follow the author. → Visibility filters run last. After ranking, a final pass strips spam, violence, gore, and deleted posts. Ranking decides reach. Visibility decides whether you see it at all. Here is what this means for you: If your posts are not reaching people, it is not because the algorithm is broken. It is because the algorithm is working exactly as designed. It rewards: 1. Posts that get reactions across multiple action types (a like AND a profile click AND a follow beats five likes alone) 2. Conversation depth (quote tweets are worth more than reposts in the math) 3. Dwell time (write posts people stop to read) 4. Posts that convert viewers into followers (your bio is part of your post) 5. Variety from each author (post less, post better) And it punishes: 1. Mutes 2. Blocks 3. Reports 4. "Not interested" clicks 5. Same-author saturation For twenty years, the algorithm was a secret.

i need to try this!

Your PDF is too large to send and you don’t have compression software. Open it in Chrome. Hit Print → Save as PDF. It compresses automatically. Free. No app needed, no data, no website. Repost for others to see.

the first three seconds to hook the viewer are everything, so make them count ✨

it is an unwritten rule of life that after every prolonged period of hardship and uncertainty, there is going to be a period when you are going to achieve quantum leaps across multiple areas of your life. the only requirement is that you do not give up on yourself.

People really underestimate how much work and practice are required to get good at something. A truckload of work over a long period of time is the price of competence.

Phew! What a time to be alive! This was created using @higgsfield 's Supercomputer feature. This is where we're at right now. The agentic era. I think for a first try, it's pretty good. What do you think?

How is this even possible?

Just from the venue of this NDC convention, you will know that our leaders are ready. Peter Obi leads, we follow!

Skills in Chrome are now available. Get started saving and customizing your favorite prompts with our quick tutorial. What Skill are you saving first? ⬇️

These Governors abandoned their respective states, flew down to Abuja, not to discuss the fate of their people but to ESCORT SHETTIMA TO GO AND SUBMIT TINUBU’s FORM. Damn!

A man cannot make more money than his level of information. The more you know, the more you earn.

The quality of animation you can create on your own is truly amazing. We really are just limited by our imaginations at this point. Go tell your story! Made in @runwayml in a few hours and a handful of gens.

Crazy idea: show how many impressions came from verified users on the Home timeline.

Claude Code Masterclass in 4 Hours: Build & Sell (2026)

A collection of short valuable video courses: ↓

Robots that can clean your room and make your bed in under 2 minutes!

I missed the last train in Seoul once. Phone at 3%. Didn’t speak Korean. It was raining, freezing, and I had no idea where I was supposed to go. I tried calling an Uber but my card kept failing because of my bank fraud protection. Perfect timing. I was standing outside the station looking completely defeated when this older woman walked up to me and started speaking Korean. I told her I didn’t understand. She pulled out her phone translator and typed:“You are lost?” I nodded. She asked where I was staying, looked at the address, then motioned for me to follow her. This woman walked me almost 15 minutes through side streets, holding her umbrella over both of us while I apologized every thirty seconds. When we got to my hotel, I tried offering her cash for helping me. She looked genuinely offended. Typed into the translator again:“If my son was lost somewhere, I hope someone helps him too.” Then she bowed and walked away in the rain before I could even process what happened. Some places still treat strangers like human beings first.