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πŸ“ˆ Telegram kanali πŸ’Š ℝ𝕖𝕕.β„™π•šπ•π•.β„™π•™π•’π•£π•žπ•’π•”π•šπ•€π•₯ πŸ’Š analitikasi

πŸ’Š ℝ𝕖𝕕.β„™π•šπ•π•.β„™π•™π•’π•£π•žπ•’π•”π•šπ•€π•₯ πŸ’Š (@rppharmacistofficial) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 55 154 obunachidan iborat bo'lib, Siyosat toifasida 1 111-o'rinni va AQSH mintaqasida 524-o'rinni egallagan.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 55 154 obunachiga ega boβ€˜ldi.

15 Iyun, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 095 ga, soβ€˜nggi 24 soatda esa -39 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Post qamrovi: Har bir post oβ€˜rtacha 10 380 marta koβ€˜riladi; birinchi sutkada odatda 3 562 ta koβ€˜rish yigβ€˜iladi.
  • Reaksiyalar va oβ€˜zaro ta’sir: Auditoriya faol: har bir postga oβ€˜rtacha 0 ta reaksiya keladi.
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Yuqori yangilanish chastotasi (oxirgi ma’lumot 16 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Siyosat toifasidagi muhim ta’sir nuqtasiga aylantirishini koβ€˜rsatadi.

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Kanal postlari
Repost from LauraAboli
Take a good look at this map. According to the figures shown, more than 3,000 new data centers are planned or already under c
Take a good look at this map. According to the figures shown, more than 3,000 new data centers are planned or already under construction around the world. Together, they represent an announced power demand of around 190 gigawatts, consuming up to 1,500 terawatt hours of electricity per year. To put that into perspective, that is roughly the equivalent of five United Kingdoms worth of electricity consumption. The same projections estimate water consumption in excess of 15 billion litres per year. For decades we have been told that humanity must dramatically reduce its energy consumption. We were told that the planet could not sustain economic growth. We were told that we must accept carbon taxes, restrictions, smart meters, energy rationing, expensive green policies and a lower standard of living in order to save the Earth. We were told that there were limits to growth. The infamous Club of Rome built an entire worldview around the idea that population, industrial output, resource consumption and economic development had to be constrained because the planet simply could not cope. Yet suddenly, when the objective is building the infrastructure required for artificial intelligence, biometric surveillance, digital identity systems, central bank digital currencies, predictive behavioural modelling and an increasingly automated technocratic society, those limits seem to have vanished. Apparently there are no limits to growth when the growth serves the construction of the digital grid itself. Suddenly nobody is asking whether the planet can sustain thousands of power hungry data centers. Nobody is suggesting AI training should be restricted to reduce carbon emissions. Nobody is demanding that these projects be halted because of their enormous water consumption. Nobody is gluing themselves to roads to stop the construction. In fact, governments are racing to approve them. Utilities are rushing to expand generation capacity, nuclear power is back on the table and coal plants that were supposedly destined for closure are being reconsidered. It is almost as if energy was never the problem. It is almost as if carbon emissions were never the real concern. It is almost as if the climate narrative was primarily about controlling human behaviour, restricting economic activity, redirecting investment flows and transforming entire industries under a centrally managed agenda. Now that AI has become the next strategic priority, the mask has slipped. The same institutions that spent years lecturing ordinary people about their carbon footprint are preparing to consume nation sized quantities of electricity to build a planetary scale digital infrastructure. And they expect nobody to notice the contradiction. (Source of map: Natural News) https://t.me/LauraAbolichannel

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June 9, 2026 Re: Support for Clemency for Roberta Ronique Bell Dear President Trump, My name is Danean MacAndrew. I am a first-time, non-violent, misdemeanor-only January 6 defendant. Thank you for my pardon. I appreciate you fighting for those unjustly prosecuted. I fought my case at trial and was sentenced to three months in now-shuttered FCI Dublin. I was completely out of my element in federal prison, and the person who gave me the most comfort was Roberta Bell. She was always there to give me a hug, a smile, and an encouraging word. She made me feel safe. You, Roberta, and I all have something in common – we are all victims of prosecutorial overreach. You, thankfully, avoided incarceration. I served 78 of 90 days. Tragically, Roberta has served 30 years (so far) of a life sentence. Sir, she does not belong in prison. She was acquitted in state court and rebuilt her life. She was working a meaningful job and caring for her three young children when, two years later, the feds came for her and deemed her a β€œdanger to society.” Labeling Roberta as dangerous is preposterous. I know her. I have lived with her. She is a kind, compassionate, beautiful soul who deserves a second chance. Her life and gifts are being wasted behind bars. She has served more than enough time. I am thoroughly convinced that if she were able to come home, she would be the same loving, giving woman I am proud to call my friend. Please right this wrong, Sir. Please let Roberta come home. Respectfully, Danean MacAndrew
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Roberta Bell is one of my two best friends from prison. Her attorneys and I are trying to encourage President Trump to grant her clemency. We think that more signatures on her change.org petition might help. I don't often ask for anything, but if you could please sign this, I'd be eternally grateful. I'll paste in the letter I wrote to President Trump on her behalf in the following post. https://www.change.org/p/life-without-parole-bring-roberta-bell-home
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Stop looking through the lens of the world and start looking through the eyes of our Savior. He always provides the best view
Stop looking through the lens of the world and start looking through the eyes of our Savior. He always provides the best views. ❀️ Credit: insta β€” victorianpoetry
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We may not always be able to control our life’s circumstances but we always have a choice on how we handle them. ❀️
We may not always be able to control our life’s circumstances but we always have a choice on how we handle them. ❀️
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β€οΈπŸ™πŸ»πŸ‡ΊπŸ‡Έ
β€οΈπŸ™πŸ»πŸ‡ΊπŸ‡Έ
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Credit: Instagram - julianclipped
Credit: Instagram - julianclipped
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Treat people the way you wish to be treated. ❀️
Treat people the way you wish to be treated. ❀️
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Credit: Instagram β€” thefallenpoe.t
Credit: Instagram β€” thefallenpoe.t
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The math ain’t mathin’. Wake up, anons.
The math ain’t mathin’. Wake up, anons.
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Credit: Instagram β€” lionforchrist
Credit: Instagram β€” lionforchrist
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Credit: Instagram β€” thefallenpoe.t
Credit: Instagram β€” thefallenpoe.t
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Word to the wise…
Word to the wise…
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Credit: Instagram β€” rachelgreentaylor+4
Credit: Instagram β€” rachelgreentaylor
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Yes.
Yes.
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Not a bad idea, actually…
Not a bad idea, actually…
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A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts. So she ran a study. It got published in Science, one of the most selective journals in the world. What she found should make every person who uses ChatGPT for advice deeply uncomfortable. Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations. The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead. Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described. The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding. The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months. Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight. Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now. She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months. X LINK
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69 US jurisdictions have now blocked new data centers. Citing the need to protect local power grids and water supplies, a gro
69 US jurisdictions have now blocked new data centers. Citing the need to protect local power grids and water supplies, a growing number of cities, counties, and towns are pushing back hard against the explosive growth of AI data centers. At least 69 jurisdictions across the United States have passed restrictions or outright moratoriums on new data center construction β€” with four of those bans made permanent. Communities are alarmed by the massive resource demands of these facilities: enormous electricity consumption, millions of gallons of water for cooling, rising utility bills, constant noise, and the loss of local control over land use. What was once welcomed as economic development is now sparking fierce debates about sustainability and quality of life. The tipping point came in Michigan, where a huge AI data center project backed by OpenAI and Oracle was approved despite strong local opposition. The decision triggered a domino effect, with neighboring towns rushing to pass their own bans to prevent similar developments. As tech giants race to build the infrastructure needed for advanced AI, they’re increasingly running into resistance from communities unwilling to sacrifice their environment and resources for corporate expansion. The digital revolution is now colliding with physical reality.
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πŸ”₯πŸ‘πŸ”₯
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https://x.com/bujokmr/status/2056534223159201877?s=46
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