ZeitTrender @ZeitTrender

How long will it take before you realize that Github, YouTube, Google, X and other tech giants are all preparing for a POST-HUMAN future? The signs are obvious for those willing to see. They only need to keep you around a little bit longer for training data. The future for humans isn't UBI. It's DOA.

The Final Battle For Your Mind zerohedge.com/geopolitical/f…

The signals feed analytics systems that estimate engagement, productivity patterns, and performance trends. Beneath that interface, inference systems continuously synthesize activity into statistical profiles. The interface collects information. The inference layer organizes priority. Has the inference layer been more obvious than it is now?

From Finishing Words and Sentences to AI Deciding Your Reality. For most of the digital era, computers waited for us. We opened a program, selected an option, entered a command, and the system responded. The relationship was visible and sequential. We initiated action, and the machine reacted. That pattern is changing. Increasingly, digital systems do not wait for explicit instruction. They anticipate, summarize, prioritize, and draft before we act. What once appeared to be incremental convenience, such as suggested replies or predictive typing, reflects a deeper structural evolution in how digital systems manage attention and shape choice. #AI #Inference X Article: x.com/ZeitTrender/st…

ZeitTrender @ZeitTrender

3 months ago

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@GeneralMCNews Canceled a few days ago. Last day for blue checkmark the 28th. May consider again once it is fixed.

The algorithm is CANCER. Please fix this @elonmusk

BLΛC @blac_ai

2 months ago

I sent an AI agent swarm to read the X algo source code. What they found shocks and confuses me. First, I want to be clear about why I'm posting this. Four years on this platform. 60,000+ followers. I've shown up every day since I started. And over the last three months, I've

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855 1K 5K 1.2M 3K

The X algorithm is broken, and it's killing the platform from the inside out. It's gotten measurably worse, and it now barely registers something as fundamental as how many people chose to follow you. Small accounts can't grow organically. Large accounts watch their reach collapse month over month. Post too much and you're throttled. Post too little and you're forgotten. There is no winning move because the system isn't designed for anyone to win. It's designed to keep everyone anxious, posting more, and dependent on whatever the model decided that morning. I'm personally down 95% from a year ago. Ninety-five percent. I get more views and replies on Instagram with 20,000 followers than I do here with a following many multiples of that. Every serious creator, journalist, and news account I know is reporting the same collapse. This isn't a handful of cranks complaining but a structural failure visible in the numbers across the entire creator class. The damage runs deeper than impressions. The algorithm has quietly redefined what kind of person you're allowed to be on this platform. If you stay relentlessly inside one "niche," you get rewarded. If you post like an actual human being with multiple interests — politics, tech, gaming, culture, memes — you get punished. The system literally works against diversity of thought, which is supposed to be the entire point of a town square. It funnels everyone into narrower and narrower lanes until creators stop being people and start being content categories. The user experience is just as broken as the creator experience. Imagine subscribing to a dozen tech and science channels on YouTube and being shown unrelated slop instead. That's the For You feed now. Most of the accounts on my timeline are random accounts I never asked to see, while the people I actually chose to follow get buried. The "systems-first" approach the team is so proud of has turned a social network into a slot machine and the engagement numbers everyone is whispering about in group chats prove the experiment isn't working. Here's the part nobody at X seems willing to say out loud: followers used to be social capital, and the algorithm has retroactively devalued every account on the platform. All of us, aside from the legacy celebrities who arrived with audiences pre-built, clawed our way up from zero. We posted through the woke years, the bot waves, the policy changes, the verification chaos. We built something. And then one day a model decided our followers don't really count anymore. Treating creators this way is the digital equivalent of how communist regimes treat entrepreneurs: confiscate the value they built, redistribute it to whoever the central planner prefers this week, and call it fairness. It also makes no business sense. Creators are not a cost center on this platform — we are the platform. The reason anyone opens the app is because someone they want to hear from is here. When you suppress that signal in favor of algorithmic guesses, you don't just hurt creators — you train users to leave. People are already migrating their best work to Substack, Instagram, YouTube, and TikTok, where follower relationships still mean something. X is speedrunning the same mistake every dying platform makes: confusing engagement metrics with actual loyalty. The fix isn't complicated: Give us back a real Following feed that respects the explicit choice users made when they hit the follow button. Let the For You tab handle discovery — that's its job — but stop overriding the social graph people built deliberately. Make follower count weight something meaningful again. Stop punishing topical range. Stop boosting unverified randoms over accounts users have actively opted into. And stop pretending an opaque ranking model is more legitimate than the user's own stated preferences. X is supposed to be the free speech platform. But suppression by algorithm is still suppression — it just has better PR. If the team is serious about this being a town square, the people who showed up and built it deserve to actually be heard by the audiences they earned. Fix the algorithm. Give followers back their meaning. Let creators be human again.

🚀Applied Digital lands massive $7.5B AI data center deal. The company signed a 15-year lease for 300 MW at its new Delta Forge 1 campus (southern US) with an unnamed U.S. hyperscaler. Total contracted revenue now >$23B, with >50% backed by investment-grade tenants. Full article: reuters.com/business/appli…

⚠️UK Biobank data breach probe: Britain is investigating after health data from ~500,000 volunteers was listed for sale on Alibaba in China. The anonymised dataset (no names/addresses) appeared in 3 listings. UK gov, Biobank, Alibaba & Chinese authorities quickly removed them—no confirmed purchases. Access to 3 research institutions revoked; ICO investigating. Science minister called it an "unacceptable abuse" of public trust. Biobank data paused for security. Serious data security wake-up call. #CyberSecurity #DataBreach Reuters article: reuters.com/world/uk/uk-in…

This is an example of surveillance pricing in action. The interface still looks normal. The model underneath already decided. Full thread on how AI is moving from finishing sentences to deciding your reality: x.com/ZeitTrender/st…

ZeitTrender @ZeitTrender

3 months ago

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Lawsuit claims JetBlue uses customers' personal data & trackers to dynamically raise air fares via 'surveillance pricing.' Sparked by JetBlue's awkward X reply suggesting to clear cookies after a $230 price jump. Carrier denies it. Proposed class action in Brooklyn court. #SurveillancePricing #DataPrivacy Reuters article: reuters.com/sustainability…

Cyber Alert: China-linked hackers using everyday devices (routers, smart gadgets) to build covert networks & hide attacks. US, UK, Australia & 15+ agencies warn orgs to step up defenses against stealthy data theft & persistent access. #CyberSecurity #CyberThreat Reuters article: reuters.com/technology/cyb…

I sent an AI agent swarm to read the X algo source code. What they found shocks and confuses me. First, I want to be clear about why I'm posting this. Four years on this platform. 60,000+ followers. I've shown up every day since I started. And over the last three months, I've watched my reach drop 40%+, off a cliff, and I haven't changed ANYTHING; I am extremely consistent, disciplined, and focused on what I do and how I do it. What bothers me in addition to my own numbers is that Artists I used to see constantly, I never see anymore. People that I look forward to seeing what they're creating... one day they disappear from my feed. I assume they left. Nope, still here. Still posting. Multiple times a day. Just completely invisible to me now. And presumably me to them. This is happening to a lot of us. I've tried to figure out why and how to fix it. Post more. Post less. Different times. Everything has hurt my account. I'm frustrated, tired, and tbh, straight up losing interest. So... I had my AI agent, Mai, spin up a research swarm last night; a multitude of specialized sub-agents pointed at every line of X's open-source algorithm. Every file. Every filter. Every module they've made public. Literally. I wanted to know exactly how to see this from the perspective of a creative here, from an artist, and not from a content consumer which is what literally every other post about the algo is focused on. What follows is what they found. ///// ⭕️ TLDR; 5 things we all should be aware of: 1. Our follower count does nothing for our reach anymore. 2. The algorithm decides how many people see our posts based on a PREDICTION, before anyone has seen it. 3. Posting too much hurts us. Posting too little also hurts us. (Really) 4. Every time we repost another artist's work, the algorithm buries it. 5. Our posts are gone from the system after 48 hours. Nothing from 3 days ago is being shown to anyone. You start from zero every 48 hours. ///// ⏬ Going deeper on those 5... 1. Your Follower Count is just a Display Number Buried in the codebase: "author_followers_count" is pulled through a service called "Gizmoduck" and passed to the tweet entity service for display only. Not fed into any scorer. Anywhere in the system. 100,000 followers. 1000 followers. Same starting point in "Phoenix", the new system. Years building an audience on this platform? That audience, as a signal to the algorithm, is worth nothing now apparently. What travels with your posts is PREDICTED engagement, a score based on your content and historical signals, regardless of how many people chose to follow you. _ 2. "The Prediction Trap" This is the one that actually broke my brain. Before your post reaches anyone, "Phoenix" scores it across 19 "prediction heads"; 19 different things it's trying to predict about how people will behave. Let me repeat. ❗️THE ALGO IS PREDICTING HOW MUCH ENGAGEMENT YOU WILL GET, AND ASSIGNS REACH BASED ON IT.❗️ WHICH IS A SELF-FULFILLING PROPHECY! Some of the 19 metrics: favorite_score — will someone like this reply_score — will someone reply dwell_score — will someone pause on it (binary) dwell_time — how long will they pause (continuous, two separate signals) photo_expand_score — will someone expand the image not_interested / report — negative signals The prediction determines reach... It actually decides if the post will get reach, by predicting... reach? how does this make any sense. It's not determined by merit of the post. It's determined by wether or not the algo thinks it will get reach, thus giving it reach. Phoenix PREDICTS low engagement. Shows the post to fewer people. Fewer people means fewer chances for engagement. Prediction validates itself. Post gets suppressed. + Phoenix PREDICTS high engagement. Bigger distribution. More chances. Prediction validates itself. Post gets pushed further. The prediction drives distribution. Content quality is secondary. And the prediction is built on your account's recent historical signals. If your reach has been declining, Phoenix is PREDICTING it will keep declining, AND actively making that happen by restricting your distribution. ie; A great piece posted on an account with declining engagement gets a small test group, underperforms in that group, gets confirmed as low-value. Even if it's the best thing they've ever made. The algorithm creates the outcome it predicted. And for anyone who's been in a decline, getting out requires overcoming a system that's actively betting against you. _ 3. "The Volume Trap" "AuthorDiversityScorer" applies exponential decay every time you appear in the same follower's feed session. Each additional post from you in a single session scores lower than the last. - Post at 9am, noon, 7pm. - A follower opens X at noon. - They see your midday post. - Your 9am post, still alive, is now decayed because you already appeared in their session. - Your 7pm post decays further. ❗️The more you post, the less each post reaches. So you post less... Impressions drop anyway, because low activity reads as a dormant account. The "per-author" caps governing this are redacted from the public code. Post too much = decay. Post too little = dormancy. The band where things work is narrow, undisclosed, and different for every account. This is absolutely absurd. And impossible for people to navigate. _ 4. The New Repost Penalty April 12, 2026. X announced a crackdown on aggregators. Reposts of other people's work: up to 90% impression deduction. On that specific repost. To be clear: NOT on your account. On each individual original post. Lots of mis-info out about this. Every time you share another artist's work because you believed in it, because community means showing up for each other... The algorithm buried it. 90% visibility cut. Gone. BUT Self-reposting your own work is different. X uses a "Bloom filter" that resets at the end of each session. "RetweetDeduplicationFilter" only drops self-reposts for followers who already saw the original in that same session. A follower opening the app at midnight hasn't seen your morning post in their current session. It reaches them fresh. The rule: sharing someone else's work = buried. Sharing your own = viable. _ 5. 48 Hours and... It's GONE. "Thunder" is X's in-memory post store. It auto-trims every 2 minutes. Retention window: 48 hours. After 48 hours your post is gone from the candidate pool. The algorithm can't serve it to anyone. The idea that consistent posting lets your older content keep circulating is wrong at the architecture level. You're starting from zero every two days. Thunder also maintains per-author caps on how many of your posts can be in the candidate pool at once. Those values are redacted. ///// 🫠 How our habits are hurting us: For years the advice was: show up every day, post on a schedule, build the habit. The accounts that did that built audiences. That consistency was proof of commitment. The "AuthorDiversityScorer" punishes it. The daily schedule that built your following now means your posts are competing with each other instead of adding value. The disciplined consistency the old platform rewarded is now what triggers exponential decay under the new one. Let that sink in❗️ The platform changed the rules. The habits we built under the old rules are working against us under the new ones. And no one said anything about it. /// 📤 A Note about/to Nikita & the X Team: Nikita Bier and the algo team at X are building for consumers. The changes make sense from that angle: algorithmic feeds, crackdowns on low-quality reposts, pushing formats that generate comments and replies. If your goal is to show the people scrolling a better experience, this logic tracks. That might even be the right goal. I could argue that with a certain perspective. However... there's a side of the equation they're seemingly not accounting for: the creators who supply the content that makes the platform worth scrolling in the first place. For artists specifically, this has been a demolition job. The art was always supposed to be the value. That's what we spent years building. That's what the audiences came for. The current algorithm doesn't reward that natively anymore. It rewards high comment probability. The result is people like me spinning up AI agent swarms to read source code just to understand why our reach is gone. Creators running diagnostics on a platform they used to just create on... is ridiculous. I don't think this is the intent. But it's the outcome regardless. You can optimize the consumption experience all you want. If the people making things stop showing up because the game is too rigged, there's nothing left to consume. The creator side of the algorithm needs a voice in these decisions. Right now it doesn't have one. //// I sent agents to read the code because I was tired of not knowing the rules. Tired of watching reach disappear. Tired of looking for accounts I used to see every day and finding out they're still there, still creating, just invisible. Understanding all this doesn't fix anything, ironically. But at least now I know what I'm working with. They built the algo well. Just not for us. It's built for the masses, engagement farming, rage baiting, fear baiting, and overall 2026 end-of-days pvp slop and brain rotted doom scrollers. I don't know what else to tell you, or how to operate with any of this, and trust me, I get how insane and confusing a lot of this is. It numbing. Tiring.. and just.. Idk. Regardless, I hope this helps in whatever way it can. -BLAC _ Attached: 1 - screenshot of my death spiral analytics 2 - Summary report on agent swarm findings 3 - the prediction trap, visualized 4 - snippets from the public X algo repo with notes

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@blac_ai Your analysis is fantastic. Thank you. It explains what I have been seeing recently.

According to Infosecurity-Magazine: Two-thirds of organizations (65%) suffered a cybersecurity incident caused by unchecked AI agents in the past year. 61% involved data exposure 43% caused operational disruption Only 20% have formal processes to decommission agents Despite 68% claiming good visibility, 82% still discovered unknown “ghost” agents. Governance must evolve as agents become more autonomous.

65% of enterprises hit by AI agent-related cyberattacks in the past year, many from forgotten, unchecked agents still lurking in networks. Lack of governance is turning autonomous AI into a major security blind spot. Time to implement visibility, lifecycle controls & human oversight. "As agents gain autonomy, governance must evolve." — CSARead more: scworld.com/brief/cyberatt… #AISecurity #CloudSecurity #Cyberattacks

In the surveillance-heavy future, the real divide may not be nations vs nations. It might be the haves (those with premium access to frontier AI intelligence, at whatever cost) and the have-nots (everyone else left navigating the world with yesterday's tools). Technology won't just determine who runs the world, it could decide who gets to participate.

🚨Major alert: Everest ransomware just hit two big US banks: Frost Bank (Texas) and Citizens Financial Group. They claim to have stolen ~250K records from Frost (including SSNs) and 3.4M from Citizens. A 6-day ransom deadline is ticking before full data dump. Banks have not commented yet. Customers: monitor for fraud. #Ransomware #CyberAttack #DataBreach Full story: cybernews.com/security/evere…

Northwestern just printed artificial neurons that mimic real brain spiking patterns and even talk to living tissue. Game-changer for energy-hungry AI? Printed with flexible inks for heterogeneous behavior → way more efficient than today's uniform neuromorphic chips. #AI Article: singularityhub.com/2026/04/20/pri…

@r0ck3t23 Could this be the classic problem-reaction-solution? Fear sells. Especially when capabilities are hard for customers to judge directly. It turns raw AI progress into a premium-priced containment business.