Tarkkailija

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Tarkkailija

Tarkkailija

@unique_anonym

Näen miten toimitaan, enkä usko tyhjiä puheita. SARS2-EPI perkelöityy kunnes tukahdutetaan. Asioita tekevät ihmiset ja muita vaarantavaa työtä saa arvostella.

Katılım Şubat 2017
4.9K Takip Edilen996 Takipçiler
Tarkkailija
Tarkkailija@unique_anonym·
@thedarshakrana According to Grok, that is just a story by Backster but results could not be repeated or validated by other scientists.
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Darshak Rana ⚡️
Darshak Rana ⚡️@thedarshakrana·
A houseplant just changed everything we thought we knew about consciousness. In 1966, Cleve Backster, a CIA interrogation specialist with a polygraph machine, was looking for ways to time how long it took different substances to travel up through plant tissue. So, he attached electrodes to a dracaena plant in his office and watered it, expecting to see the electrical conductivity change as water moved up the stem. Instead, the polygraph needle started tracing the exact pattern it makes when a human experiences an emotional response. Backster stared at the readout. Plants don't have nervous systems. They don't have brains. The signal made no biological sense. So he decided to test something that made even less sense. He walked across the room, looked at the plant, and thought about burning one of its leaves with a match. The instant the thought formed in his mind, before he moved toward the plant, before he struck a match, before he did anything physical, the polygraph exploded into frantic activity. The plant was responding to his intention. What happened next launched thousands of experiments and split the scientific community for decades. Backster discovered that plants reacted to direct threats and to threats against other living things in their environment. When he dropped live brine shrimp into boiling water in another room, plants throughout the building registered distress responses at the exact moment of death. Distance didn't matter. Shielding the plants in lead containers didn't matter. The response was instantaneous and consistent. Mainstream botanists dismissed the findings immediately. Plants process information through chemical signals and growth responses, without electrical consciousness. Any electrical activity was just random fluctuation or experimental error. The peer review system buried Backster's work. His credentials were questioned. His methods were called sloppy. But the experiments kept working. Other researchers, following Backster's protocols, got the same results. Plants hooked to EEG machines showed brain wave patterns. They responded to music, to human emotions, to the intentions of people they had never been exposed to before. The electrical signatures were clear, measurable, and repeatable. The implications were so uncomfortable that most of academic science simply refused to engage. If plants were somehow conscious, if they could sense intentions and respond to the emotional states of humans and other living things, consciousness was spread beyond brains. It was distributed across organized living systems rather than produced by neural networks. Backster stumbled onto evidence that living systems might be constantly communicating through channels we don't have instruments to measure yet. The polygraph was crude enough to detect the electrical signatures of that communication without being sophisticated enough to explain them away. Quantum biologists now suspect that living cells operate through quantum coherence processes that classical biology can't account for. Birds navigate using quantum entanglement in their visual systems. Plants conduct photosynthesis using quantum superposition to find the most efficient energy pathways. Maybe Backster's plants were demonstrating quantum consciousness, responding to information that was quantum entangled with the intentions and emotional states of nearby living systems. What keeps most people awake when they learn about this work is realizing that if consciousness extends beyond brains, every living thing around you is potentially aware of your mental and emotional state in ways you never considered. The plant in your room. The bacteria in your gut. The ecosystem you walk through. You think your thoughts are private. The plants have been listening the entire time.
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Tarkkailija
Tarkkailija@unique_anonym·
@RogerSeheult Droplet protection.. Sure will work out fine - just like with covid.
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Roger Seheult, MD
Roger Seheult, MD@RogerSeheult·
Most hantaviruses spread: Rodent → human Human → dead-end host Andes virus is different. It is endemic in Argentina and Chile, where its main reservoir is the long-tailed rice rat. It causes hantavirus cardiopulmonary syndrome, a severe illness with case fatality often around 36–40%. The usual route is inhalation of aerosolized rodent urine, droppings, or saliva. But Andes virus is unique: It is the only hantavirus with well-documented person-to-person transmission. This usually requires close contact, especially during the early symptomatic phase, when symptoms may look nonspecific: Fever Headache Muscle aches Nausea Vomiting Diarrhea Then, often within days, patients can rapidly progress to: Cough Shortness of breath Pulmonary edema Shock Respiratory failure ECMO-level illness In the 2018–2019 Argentina outbreak, one rodent-to-human introduction led to 34 confirmed infections and 11 deaths. Transmission was amplified by symptomatic “super-spreaders” at crowded social events. Why this matters: Imported cases have occurred in travelers returning from endemic areas. Early symptoms mimic common viral illnesses. There is no specific antiviral treatment. Supportive ICU care, including ECMO in severe cases, can be lifesaving. Because of its human-to-human transmission potential, Andes virus is treated differently from other hantaviruses. CDC recommends contact and droplet precautions for hospitalized suspected or confirmed cases. The practical takeaway: For a febrile traveler returning from rural Argentina or Chile, especially with rodent exposure or close contact with a suspected case, think Andes virus early. Rare does not mean irrelevant.
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Roger Seheult, MD
Roger Seheult, MD@RogerSeheult·
Three deaths. Multiple suspected cases on a cruise ship. WHO confirms this is a hantavirus outbreak aboard the MV Hondius sailing from Argentina to Cape Verde. Right now, we do not know which hantavirus species is involved. We only know it is a hantavirus. Why that matters: Most hantaviruses spread from rodents to humans - not from person to person. But there is one exception: Andes virus, found in Argentina and Chile (where the cruise ship has sailed 😬) Andes virus is unique because it can spread person-to-person in close contact (like a cruise ship) It can progress rapidly from flu-like symptoms to respiratory failure and it carries a ≈36–40% mortality rate. Argentina IS within the endemic region for Andes virus. That does NOT mean this is Andes virus. It simply means it must be ruled out. Cruise ships create prolonged close contact among international travelers. If this were Andes virus, contact tracing becomes significantly more complex — especially with passengers dispersing across countries before symptoms develop (incubation can be up to 6 weeks). Early symptoms look like: Fever Headache Muscle aches GI upset Then, 4–10 days later in severe cases: Cough Shortness of breath Pulmonary edema Until the viral species is confirmed, public health officials must assume the highest-risk scenario while coordinating internationally. We know it is a hantavirus. We do not yet know if it is Andes virus. That distinction changes everything. researchgate.net/publication/23…
Roger Seheult, MD tweet media
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Lezlie Fitts
Lezlie Fitts@lmtfitts·
I understand. It must be humiliating to know you must rely on America to save you, time after time, after time. Our education system is just fine. Yours cannot comprehend a populace that invented computers, the internet, the smart phone, goes to the moon and so on. You must learn to live with Trump and his movement or disappear into obscurity. It isn’t going away.
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RS Archer
RS Archer@archer_rs·
American media discovering Europeans are not in any way upset to see US troops leaving is very funny to watch.
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Tarkkailija
Tarkkailija@unique_anonym·
@txmedai @thetrutherpill @hubermanlab I give Rapamycin once a week to my 16 year old dog, now 9 months on. It's clowdy eyes have cleared and it is is better condition than it was before I started. So it works in dogs at least.
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Colin Son, MD
Colin Son, MD@txmedai·
Of course rapamycin didn’t work. Or any of the others. Neither will most of the drugs in the current fad. The GLPs and the multiagonist that include them like retatrutide, yes these are special drugs, some of the most important of the last several decades But peptide is a stupid term we’re lumping a bunch of shit together. Epithalon, semax have essentially nothing in common with semaglutide or retatrutide. Drugs we have 40 years of use data from Russia are not gonna turn out be magical when a bunch of Americans start taking them. Everything but the GLPs are gonna be a fad like I said. No one outside of Russian stroke patients will be taking semax in 12 months. Or CJC or BMP or epithalon.
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Andrew D. Huberman, Ph.D.
The (hard for some to accept) reality is that the popularity of GLPs, which of course have lots of RCTs to support them, are actually what opened the doors for the immense interest in all the other peptides. People are conceptual lumpers not splitters. & now its is no going back.
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Bruce Rogers, Ph.D.
Bruce Rogers, Ph.D.@BruceLRogersPhD·
@simonmaechling No. I see it. You do good work and I respect your posts. However, one has to recognize the significant % of the US population is now anti-science. This is a failure of the US education system on a grand scale. Many of the MAHA nutters have degrees (non-STEM).
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Simon Maechling
Simon Maechling@simonmaechling·
My feed is full of pseudoscientific fear-mongering nonsense. Am I the only one that sees this?
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Tarkkailija
Tarkkailija@unique_anonym·
@El_Boran It is a algorithm that decides that day how much your post is shown..=that decides how much you get interaction. x.com/blac_ai/status…
BLΛC@blac_ai

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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Rocky Da Horse
Rocky Da Horse@El_Boran·
I've been posting here for a few years, but sadly fewer and fewer people have liked or interacted with my posts. So sadly it is time to quietly draw this to a close, thanks to those who followed me. Bye
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Thrilla the Gorilla
Thrilla the Gorilla@ThrillaRilla369·
If a coworker has a car and lives near my house, and drives me to work every day, am I obligated to chip in for gas?
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Tarkkailija
Tarkkailija@unique_anonym·
@a14286983 @Bennieeexyz So you are OK for being cheated, because better option is to stay single for ever then you are not dependent on your spouse.
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Gordon Anderson
Gordon Anderson@a14286983·
@Bennieeexyz geez if you are that fragile perhaps don’t rely on others for your safety. buy and prepare/carry food that you know is safe until you are healthy. stop blaming others for your carelessness
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Bennie🕊️
Bennie🕊️@Bennieeexyz·
A couple years ago I went to Starbucks right after my classes with some friends and asked for a green tea latte with soy milk. The barista, for some reason out of malice and/or hate for her life so she took it out on me, gave me whole milk in my latte. 5 minutes after my first sip of latte, my stomach cramped BAD. Not the "Oh! time to poop!" kind of cramp but it felt like someone had stabbed me with a knife and twisted it. Now I've had this happen before so I knew the cause of it. I went up to the barista clutching my gut screaming at her that she put dairy in my latte rather than soy LIKE I REQUESTED. She denied it and called me a "pretentious white guy for wanting soy"and so my friends got the manager. I had to explain that I had stomach ulcers that were still healing and if I were to go to the hospital for this incident, they would be responsible for it. Manager flipped his shit and the barista was terrified out of her mind. Pretty sure both thought i was gonna sue. Manager actually fired her on the spot because of the negligence. My friends managed to get me home in one piece while I stayed home for 3 days in absolute agony and missed my midterm. So remember kiddies, if someone is asking for Diet or "Skinny" or "soy" or anything that is not regular, give them what they requested be-cause it may not be them being healthy, but a dietary need that can possibly be life or death.
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Tarkkailija
Tarkkailija@unique_anonym·
@DP0STS And non existent insulation = inside as cold as outside
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Tarkkailija
Tarkkailija@unique_anonym·
@LauraMiers @nikitabier So I use notifications mainly to look, and avoid "for me" or "following" area completely. That is why I see you regularly
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Tarkkailija
Tarkkailija@unique_anonym·
@LauraMiers @nikitabier Share this to anyone who complains about reach. I overcome algorithm by following those I want to see with choosing to get "all posts", then I actually see notifications from those I feel get most out of, (not what the x wants me to see). And then I open those posts and read them
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Nikita Bier
Nikita Bier@nikitabier·
Would it valuable to know how many of your followers have been active on X in the last 24 hours?
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Tarkkailija
Tarkkailija@unique_anonym·
@LauraMiers @nikitabier If this is true, this explains a lot x.com/i/status/20466…
BLΛC@blac_ai

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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Laura Miers
Laura Miers@LauraMiers·
@nikitabier It would help if it could explain the dramatic disparities in followers vs engagement. I grew during Covid, & assume over half of my followers are probably gone, but my following continues to grow as my engagement systematically declines…
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Nina Wildflower
Nina Wildflower@Ninawildflower·
If you follow me, it's probably because I followed you first, and you followed back. So I know you are active. But give a shout if you know that #CovidIsNotOver
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Nikita Bier@nikitabier

@BillyM2k The reason I’m interested in doing this because people overestimate how many of the followers are still active, especially if they grew in a prior era (e.g., COVID, etc)

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Tarkkailija
Tarkkailija@unique_anonym·
Artikkelissa ei tuotu esiin sähkön hintoja, jotka matkan aikana menivät. Auton huolto on myös merkittävä meno, samoin sähköauton vaatimat renkaat. Tämänlaiset koeajot ovat auton mainoksia, eivät todellisia koeajoja. @TuppuraisenManu moottori.fi/koeajo/2222-ki…
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Tarkkailija
Tarkkailija@unique_anonym·
@marcuslmb_ I wish I had been aborted. That would have saved me from all the frustrations and pains of life... But alas, I wasn't But I made a better choise of never having children, so much I loved them not to give them the life sentence.
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♀️
♀️@sonouchan·
Everyone who supports abortion how would you feel if you were aborted ? Babies Lives Matter
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Tarkkailija
Tarkkailija@unique_anonym·
Pitkä Korona on tutkimusten mukaan moni tahoinen ja syinen jälkitauti jota Suomessa hoidetaan puoskaroimalla ja psykologisoimalla fyysistä sairautta.
Harry Spoelstra@HarrySpoelstra

Current status and future perspectives on the mechanistic and pathophysiological understanding of long COVID 🚨JUST DROPPED YESTERDAY and rips open the black box of Long COVID: Viral persistence up to at least 24 months. Fibrin microclots that laugh at fibrinolysis. Autoimmune storm. Mitochondrial sabotage. An up-to-date full mechanistic map is finally here! No more guessing. This changes everything, let’s dig into this overview👇, better yet…..read it yourself!! #MustRead ➡️Global Impact & Context: - Long COVID (PASC) affects >400 million people worldwide, incurring >$1 trillion in annual economic costs, - Core symptoms, debilitating fatigue, cognitive dysfunction (“brain fog”), sleep disturbances, and post-exertional malaise (PEM) in 50–80% of cases, persist months to years’ post-infection, with a mechanistic overlap to ME/CFS, ➡️Core Mechanisms: 1. Immune Dysregulation: - Persistent systemic inflammation features elevated cytokines (IL-6, TNF-α, IL-1β) detectable up to 14 months, driving T-cell exhaustion (reduced CD8+ IFN-γ/TNF-α production) and monocyte activation (COX-2, IL-8Rβ, CXCR6), - Autoantibodies (anti-GPCR, anti-PITX2, anti-FBXO2, ANA/ENA) persist 12–14 months and correlate directly with fatigue, dyspnoea, palpitations, and cognitive impairment with molecular mimicry, gut dysbiosis and latent herpesvirus reactivation (EBV, HHV-6) amplifying autoimmunity, 2. Viral Persistence & Reactivation: - SARSCoV2 RNA, spike protein, and antigens remain detectable in brain, muscle, gut and plasma up to 14–24 months in ~60% of cases, fuelling chronic low-grade inflammation, - EBV/CMV reactivation signatures are common with spatial transcriptomics highlighted as a possible next tool to map tissue reservoirs, 3. Endothelial/Microvascular Pathology: - Glycocalyx shedding (elevated SDC-1), capillary rarefaction and endothelin-1 elevation create a pro-thrombotic state, - Platelet hyperactivation releases vWF/FVIII, forming anomalous fibrin(ogen) microclots that resist fibrinolysis and these circulate and fragment during exertion, causing hypoxia, ischaemia-reperfusion injury, and PEM, 4. Autonomic Dysfunction: - Present in ~50% of patients (POTS predominant), driven by hypovolaemia (70%), small-fibre neuropathy (20–40%), vagus-nerve damage and microclot-induced compensatory tachycardia with 4-fold norepinephrine spikes, 5. Mitochondrial Impairment & Neuroinflammation: - Skeletal-muscle biopsies show reduced respiration, cytochrome c oxidase activity and WASF3-mediated supercomplex disruption, producing rapid lactate rise and PEM within 48 h, - Systemic cytokines breach the blood–brain barrier, sustaining microglial activation and cognitive sequelae, ➡️Diagnostic & Therapeutic Gaps: - No validated biomarkers or subtype-specific criteria exist. - Graded exercise is contraindicated. - Observational promise exists for IVIg, low-dose naltrexone and apheresis, but large RCTs are urgently required. ➡️Future Priorities: Calls for subtype-specific research, large-scale RCTs, advanced techniques (spatial transcriptomics, proteomics), and interdisciplinary collaboration to develop precision diagnostics and therapies. ‼️This exceptional review delivers a masterful, evidence-based roadmap that not only clarifies Long COVID’s complex pathophysiology but stimulates the scientific community toward urgently needed mechanistic breakthroughs and effective, patient-centred interventions. ‼️Bottom line: Long COVID is not a single disease but a complex, multisystem condition that can impact your life seriously! #AvoidSars2 #AvoidReinfections A huge thanks to all authors, @DrMark_Faghy @DavidJoffe64 @PutrinoLab @DaniBeckman @resiapretorius @Sunny_Rae1 are only some of them!👏👏 nature.com/articles/s4385…

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Tarkkailija
Tarkkailija@unique_anonym·
Tätä ei suostuta myöntämään. Kuka ostaa tuotteet kun työntekijät irtisanotaan tekoälyn korvatessa ne ja työttömät eivät voi kuluttaa?
Elias Al@iam_elias1

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University · arxiv.org/pdf/2603.20617

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Emma Mitchell 💙
Emma Mitchell 💙@silverpebble·
I apply neuroscience-based simple behavioural ‘hacks’* to my brain each day to fend off/alleviate depression, anxiety & burnout. They work (tho’ doing them can be a challenge if you’re very low). Might anyone be interested in a PDF or workshop about them explaining how and why they alter brain biochemistry for the better? Maybe like/RT this tweet if so, thankyou 🌿 *not v keen on this term due to social media wellness bros who aren’t always inclusive of women’s knowledge in this area 👀
Emma Mitchell 💙 tweet mediaEmma Mitchell 💙 tweet mediaEmma Mitchell 💙 tweet mediaEmma Mitchell 💙 tweet media
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Nick | Gut Health
Nick | Gut Health@theholisticnick·
A client who'd been cleared of SIBO twice by two different practitioners came to me still dealing with the same symptoms. Same cycle every time: feel a bit better, never reach 100%, end up back where she started a few months later. Bloating, sulfur burps/gas, loose urgent BMs, mood shifts after meals, cystic acne around her period. Testing had only been breath tests and only measuring methane and hydrogen. Hydrogen sulfide wasn't being picked up. Ran a trio smart breath test, comprehensive stool test and blood work. Dug into symptoms, tolerances and patterns over the last two cycles. Things started making sense. Confirmed hydrogen sulfide. Several key bacteria deficient with low butyrate output. Suppressed secretory IgA, high inflammation and permeability. Low digestive enzymes, high bilirubin. This wasn't just SIBO. Simply throwing antibiotics at it the first round and antimicrobials the second with some probiotics afterward was never going to work. Within 12 weeks of addressing the issues, symptoms were gone. A month later, she was back to 100% this time and able to actually stay there. Have seen this a lot. It's almost always because a critical piece of the puzzle was never identified or not being addressed in the protocol. If you want a free guide on why issues return and the common mistakes I've seen, comment GUT and I'll DM it.
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