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Monday, June 8, 2026

Disney Princess πŸ«… Parody 😁

Disney πŸ«… Princess  πŸ‘Έ Parody
A Parody of the song 'Cell Block Tango' from the Movie Musical 'Chicago' featuring  SIX  of your favorite Disney Princesses.  The Princesses sing their very own verses from Cell Block Tango, straight from their prison cells, explaining their 'accidental' crimes!
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DISCLAIMER - Parental Guidance advised. 
This parody is not aimed at children and videos my contain swear words and adult humor.
πŸ’ƒ Cell Block Tango πŸ’ƒπŸ½ By Just Josie
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Featuring :  Snow White (Snow White) * Ariel (The Little Mermaid) * Cinderella (Cinderella) * Aurora (Sleeping Beauty) * Belle (Beauty and the Beast) * Rapunzel (Tangled) πŸ’ƒ  πŸ’ƒπŸ»  πŸ’ƒπŸ½ πŸ’ƒ πŸ’ƒ πŸ’ƒπŸΌ Scroll to Bottom for more Videos πŸ‘‡
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Comments
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The fact this is one woman (Just Josie) singing ALL the Roles is so dang impressive.

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I've always loved the Cell Block Tango and seen many parodies. This is by far one of the best. You did so good using different voices for the characters and everything was wonderful. Great job! πŸ₯°
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“He accidentally ran into my frying pan... 10 times!”  Loved Rapunzel for that line alone!πŸ˜„
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Ariel: *Uses one of her fishy friends to kill Eric* Puffer fish: FOR QUEEN AND COUNTRY!
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I  see we aren't gonna talk about this "Sweet Nightingale" position LMAO. I loved this though. Truly. Poor Snow White and the dwarves though 😒
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Cinderella was my favorite! "The Sweet Nightingale" was a hilarious idea to replace "The Spread Eagle" from the original song. This was my first time watching your channel, but I'm coming back for more! πŸ¦„
πŸ‘ΈπŸ‘ΈπŸ»πŸ‘ΈπŸ½πŸ‘ΈπŸ«…πŸ‘ΈπŸΏπŸ‘ΈπŸΌπŸ‘ΈπŸΎπŸ‘Έ
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#op from 'Assassins' fandom, population: 5
Cell Block Tango
Chicago 🎞️ 2002
Sub (Eng, Rus) 
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Spell Block Tango
By Todrick Hall + Lyrics
Disney Villains are jailed for certain murders and they are explaining themselves
Todrick Hall wrote this parody of “Cell Block Tango” from the musical Chicago with Disney villains as the leads.
This version stare famous Disney Villains: 
Cruella * Evil Queen * Ursula * Queen of Hearts * Scar * Maleficent - who sings their sides of their stories.
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Red Queen Actually said: "Dumbo, La Dark, Marcus Mouse (Minnie's Father), Pluto Junior (Pluto's Child), Amelia Fieldmouse (Mickey's Sister), Archimedes (that one owl in Sword in The Stone),  Babette (Lumiere's Girlfriend), Tiger Lily (The Indian Girl Peter Pan had a Crush on), Madame De La Grande Bouche (The Cabinet in Beauty and The Beast), Humphrey the Bear, Drizella (Lady Tremaine's Daughter),
La Lefou, Lumierre, Simba, Banzai (One of the Hyenas from the Lion King, Kronk (from the emperor's groove) Shooluvutsu -  Slew Foot Sue, I think, just heavily accented and slurred.

American Idol finalist, Broadway actor and youtube sensation Todrick Hall teamed up with Marlon Wayans' new company "What The Funny" to produce a viral Halloween video.

Thank you so much to Adam Lambert, Shoshana Bean, Cassie Scerbo, Amber Riley, Blake McGrath, Kimberly Cole and Pia Toscano for lending me your talents. Special thanks to the dancers, Drew Reese, Peter Gill, Chester Lockhart, Davis Rahal, Steven Dehler, Jared North, Hondo Tey, Noelle Boney and Aaron McGuire. And a HUGE thank you to Jean-Yeves a.k.a. Jeeve Ducournet for doing the music, producing and recording. I have always had a strange fascination with the Disney villains' side of the classic fairy tales and now through the music of Chicago you'll get to hear their stories.

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Queen of Heartspart is hilarious.  🀣 She is just saying  the names of other Disney characters with an accent. Dumbo, La Dark, Marcus MousePluto Junior, Amelia Fieldmouse, ArchimedesBabaette, Tiger Lily, Madame de la Grande BoucheHumphrey the bear, DrusillaLa La Fou, la mirror, Bonsai, Kronk, Shooluvutsoo
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Why is everyone so confused, scar is here
🀣 he’s a queen Yeah, he's a DRAMA QUEEN
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I love the part with "some guys can't handle their apple juice" vs "some guys can't handle their arsenic," because there is arsenic in apple seeds, I'm pretty sure.
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For those who doesn’t understand the queen of heart she was saying the name of the victim ( Disney characters) she accused of killing them thus “ yes but did you do it “ and she said “ no no not guilty “
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"Single my GLASS!"
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Cruella: Killing the 2 Drunk men * Evil Queen: Poison * Queen of Heart's: Executing the People she mentioned * Scar: Killing because of betrayal * Ursula: Accused of being a cheater * Malificent: Killing of Rage and Divorcement.
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Lyrics
Dumbo, La Dark, Marcus Mouse
Pluto Junior, Amelia Fieldmouse, Archimedes
Babaette, Tiger Lily, Madame de la Grande Bouche
Humphrey the bear, Drusilla
La La Fou, la mirror, Bonsai, Kronk, Shooluvutsoo
[Intro: All]
Spots, Six, Fish, Uh-uh, Figaro, Wishes
Spots, Six, Fish, Uh-uh, Figaro, Wishes
[Spoken: Adam Lambert]
And now, the six merry murderesses of
The Captain Hook county jail
In their rendition of the Spell Block Tango
[Refrain: All]

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Chicago (2002)
Cell Block Tango [HD]
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#chicago from sigh;#Don't mind me just practising gifing from amphetamine
                          

Sunday, June 7, 2026

When Is the Singularity? πŸ€– Probably Not in Your Lifetime

Actually: You won’t be obsolete for a long time, if ever, most researchers say.
In March when Alphago, the Go-playing software program designed by Google’s DeepMind subsidiary defeated Lee Se-dol, the human Go champion, some in Silicon Valley proclaimed the event as a precursor of the imminent arrival of genuine thinking machines.

The achievement was rooted in recent advances in pattern recognition technologies that have also yielded impressive results in speech recognition, computer vision and machine learning. The progress in artificial intelligence has become a flash point for converging fears that we feel about the smart machines that are increasingly surrounding us.

However, most artificial intelligence researchers still discount the idea of an “intelligence explosion.”

The idea was formally described as the “Singularity” in 1993 by Vernor Vinge, a computer scientist and science fiction writer, who posited that accelerating technological change would inevitably lead to machine intelligence that would match and then surpass human intelligence. In his original essay, Dr. Vinge suggested that the point in time at which machines attained superhuman intelligence would happen sometime between 2005 and 2030.

Ray Kurzweil, an artificial intelligence researcher, extended the idea in his 2006 book “The Singularity Is Near: When Humans Transcend Biology,” where he argues that machines will outstrip human capabilities in 2045. The idea was popularized in movies such as “Transcendence” and “Her.”

Recently several well-known technologists and scientists, including Stephen Hawking, Elon Musk and Bill Gates, have issued warnings about runaway technological progress leading to superintelligent machines that might not be favorably disposed to humanity.

What has not been shown, however, is scientific evidence for such an event. Indeed, the idea has been treated more skeptically by neuroscientists and a vast majority of artificial intelligence researchers.

For starters, biologists acknowledge that the basic mechanisms for biological intelligence are still not completely understood, and as a result there is not a good model of human intelligence for computers to simulate.

Indeed, the field of artificial intelligence has a long history of over-promising and under-delivering. John McCarthy, the mathematician and computer scientist who coined the term artificial intelligence, told his Pentagon funders in the early 1960s that building a machine with human levels of intelligence would take just a decade. Even earlier, in 1958 The New York Times reported that the Navy was planning to build a “thinking machine” based on the neural network research of the psychologist Frank Rosenblatt. The article forecast that it would take about a year to build the machine and cost about $100,000.

The notion of the Singularity is predicated on Moore’s Law, the 1965 observation by the Intel co-founder Gordon Moore, that the number of transistors that can be etched onto a sliver of silicon doubles at roughly two year intervals. This has fostered the notion of exponential change, in which technology advances slowly at first and then with increasing rapidity with each succeeding technological generation.

At this stage Moore’s Law seems to be on the verge of stalling. Transistors will soon reach fundamental physical limits when they are made from just handfuls of atoms. It’s further evidence that there will be no quick path to thinking machines.

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The Year AI Becomes SMARTER Than Us
What happens when AI becomes infinitely smarter than us—constantly upgrading itself at a speed beyond human comprehension? This is the Singularity, a moment where AI surpasses all limits, leaving humanity at a crossroads.
Elon Musk predicts super-intelligent AI by 2029, while Ray Kurzweil envisions the Singularity by 2045. But if AI reaches this point, will it be our greatest breakthrough or our greatest threat?
The answer might change everything we know about the future.
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Chapters:
00:00 - 01:15 Intro 
01:15 - 03:41 What Is Singularity Paradox? 
03:41 - 06:19 How Will Singularity Happen? 
06:19 - 09:05 What Will Singularity Look Like? 
09:05 - 11:50 How Close Are We?  
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 Experts and futurists broadly predict the technological singularity -the point at which artificial intelligence surpasses human intelligence and begins recursively improving itself, fundamentally changing human civilization—will occur between 2029 and 2045.
The exact timeline depends heavily on the specific definitions and indicators used:

  • Ray Kurzweil: The prominent futurist and Google engineer predicts machines will pass the Turing test by 2029, with full-scale technological singularity—where biological and non-biological intelligence merge—occurring by 2045. In recent years, he updated his assessment, noting that due to rapid LLM advancements, the 2029 date could also apply to the arrival of Artificial General Intelligence (AGI).
  • Elon Musk & Industry Leaders: Tech executives and forecasters are often more aggressive, suggesting AI could surpass the smartest individual humans as soon as 2029 or 2030
  • The 2040–2060 Horizon (Consensus Averages)
    • AI Researcher Surveys: Comprehensive expert surveys (such as those conducted by AI Impacts) indicate that many computer scientists and researchers estimate the most likely timeframe for human-level machine intelligence and subsequent rapid acceleration is between 2040 and 2060. 
    • Scientific Debates: Skeptics and more conservative researchers often push this timeline further out into the late 21st century or argue the singularity is not guaranteed to happen at all. 
    The "Already Underway" Perspective
    • Many contemporary observers and Reddit communities argue against the idea of a single, sudden, explosive event. Instead, they suggest the singularity is an unfolding process that we have already entered, driven by iterative self-improvement and rapid real-time integration of AI into global societal frameworks. 

     

     

     

     


    Singularity AI πŸ€– Technological

    Technological Singularity
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    In the not-so-distant future, we could reach the technological singularity – when artificial and human intelligence merges to become one.
    πŸ‘‰          πŸ‘‰         Click      to   Choose Video 
    A.I. Singularity
    Technological Singularity
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    The technological singularity - or simply the singularity - is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable consequences for human civilization. According to the most popular version of the singularity hypothesis, I. J. Good's intelligence explosion model of 1965, an upgradable intelligent agent could eventually enter a positive feedback loop of self-improvement cycles, each new and more intelligent generation appearing more and more rapidly, causing a rapid increase ("explosion") in intelligence which would ultimately result in a powerful superintelligence, qualitatively far surpassing all human intelligence.
    The Hungarian-American mathematician John von Neumann (1903-1957) became the first known person to use the concept of a "singularity" in the technological context. Stanislaw Ulam reported in 1958 an earlier discussion with von Neumann "centered on the accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue". Subsequent authors have echoed this viewpoint.
    The concept and the term "singularity" were popularized by Vernor Vinge - first in 1983 (in an article that claimed that once humans create intelligences greater than their own, there will be a technological and social transition similar in some sense to "the knotted space-time at the center of a black hole",) and later in his 1993 essay The Coming Technological Singularity, (in which he wrote that it would signal the end of the human era, as the new superintelligence would continue to upgrade itself and would advance technologically at an incomprehensible rate). He wrote that he would be surprised if it occurred before 2005 or after 2030. Another significant contributor to wider circulation of the notion was Ray Kurzweil's 2005 book The Singularity Is Near, predicting singularity by 2045.
    Some scientists, including Stephen Hawking, have expressed concern that artificial superintelligence (ASI) could result in human extinction. The consequences of a technological singularity and its potential benefit or harm to the human race have been intensely debated.
    Prominent technologists and academics - including Paul Allen, Jeff Hawkins, John Holland, Jaron Lanier, Steven Pinker, Theodore Modis, and Gordon Moore - dispute the plausibility of a technological singularity and an associated artificial-intelligence explosion. One claim made was that the artificial-intelligence growth is likely to run into decreasing returns instead of accelerating ones, as was observed in previously developed human technologies. 
     
    The Singularity Is Near: 
    When Humans Transcend Biology is a 2005 non-fiction book about artificial intelligence and the future of humanity by inventor and futurist Ray Kurzweil. A sequel book, The Singularity Is Nearer, is scheduled to be released on June 25, 2024.
    The book builds on the ideas introduced in Kurzweil's previous books, The Age of Intelligent Machines (1990) and The Age of Spiritual Machines (1999). In the book, Kurzweil embraces the term "the singularity", which was popularized by Vernor Vinge in his 1993 essay "The Coming Technological Singularity."
    Kurzweil describes his law of accelerating returns which predicts an exponential increase in technologies like computers, genetics, nanotechnology, robotics and artificial intelligence. Once the singularity has been reached, Kurzweil says that machine intelligence will be infinitely more powerful than all human intelligence combined. The singularity is also the point at which machines' intelligence and humans would merge; Kurzweil predicts this date: "I set the date for the Singularity—representing a profound and disruptive transformation in human capability—as 2045".
     
    La singularité technologique (ou simplement la Singularité) est l'hypothèse selon laquelle l'invention de l'intelligence artificielle déclencherait un emballement de la croissance technologique qui induirait des changements imprévisibles dans la société humaine.

    Au-delΓ  de ce point, le progrΓ¨s ne serait plus l’Ε“uvre que d’intelligences artificielles qui s’auto-amΓ©lioreraient, de nouvelles gΓ©nΓ©rations de plus en plus intelligentes apparaissant de plus en plus rapidement dans une « explosion d'intelligence », dΓ©bouchant sur une puissante superintelligence qui dΓ©passerait qualitativement de loin l'intelligence humaine.

    Le risque serait que l'humanitΓ© perde le contrΓ΄le de son destin. L'auteur de science fiction Vernor Vinge est mΓͺme convaincu, dans son essai La venue de la singularitΓ© technologique, que la singularitΓ© signifierait la fin de l'Γ¨re humaine, la nouvelle superintelligence continuant de s'amΓ©liorer et d'Γ©voluer technologiquement Γ  une vitesse incomprΓ©hensible pour les humains.

    Cette notion de singularité technologique aurait été envisagée par John von Neumann dès les années 1950 et ses conséquences ont été débattues dans les années 1960 par I. J. Good. Selon Ray Kurzweil7, cofondateur de la Singularity University, la singularité deviendrait réalité approximativement en 2045.

    La possibilitΓ© et la date de survenue de cet Γ©vΓ¨nement hypothΓ©tique fait toutefois l'objet de dΓ©bats entre scientifiques. Plusieurs futurologues et transhumanistes l’attendent pour la troisiΓ¨me dΓ©cennie du XXIe siΓ¨cle

     
    Variations
    Non-AI singularity
    Some writers use "the singularity" in a broader way to refer to any radical changes in society brought about by new technology (such as molecular nanotechnology), although Vinge and other writers specifically state that without superintelligence, such changes would not qualify as a true singularity.

    Predictions
    In 1965, I. J. Good wrote that it is more probable than not that an ultra-intelligent machine would be built in the twentieth century. In 1993, Vinge predicted greater-than-human intelligence between 2005 and 2030. In 1996, Yudkowsky predicted a singularity in 2021. In 2005, Kurzweil predicted human-level AI around 2029, and the singularity in 2045. In a 2017 interview, Kurzweil reaffirmed his estimates. In 1988, Moravec predicted that if the rate of improvement continues, the computing capabilities for human-level AI would be available in supercomputers before 2010. In 1998, Moravec predicted human-level AI by 2040, and intelligence far beyond human by 2050.

    Four polls of AI researchers, conducted in 2012 and 2013 by Nick Bostrom and Vincent C. MΓΌller, suggested a confidence of 50% that human-level AI would be developed by 2040–2050.
     
    Plausibility
    Prominent technologists and academics dispute the plausibility of a technological singularity, including Paul Allen, Jeff Hawkins, John Holland, Jaron Lanier, Steven Pinker, Theodore Modis, and Gordon Moore, whose law is often cited in support of the concept.
    Most proposed methods for creating superhuman or transhuman minds fall into one of two categories: intelligence amplification of human brains and artificial intelligence. The many speculated ways to augment human intelligence include bioengineering, genetic engineering, nootropic drugs, AI assistants, direct brain–computer interfaces and mind uploading. These multiple possible paths to an intelligence explosion, all of which will presumably be pursued, makes a singularity more likely.
    Robin Hanson expressed skepticism of human intelligence augmentation, writing that once the "low-hanging fruit" of easy methods for increasing human intelligence have been exhausted, further improvements will become increasingly difficult. Despite all of the speculated ways for amplifying human intelligence, non-human artificial intelligence (specifically seed AI) is the most popular option among the hypotheses that would advance the singularity.
    The possibility of an intelligence explosion depends on three factors. The first accelerating factor is the new intelligence enhancements made possible by each previous improvement. Contrariwise, as the intelligences become more advanced, further advances will become more and more complicated, possibly outweighing the advantage of increased intelligence. Each improvement should generate at least one more improvement, on average, for movement towards singularity to continue. Finally, the laws of physics may eventually prevent further improvement.
    There are two logically independent, but mutually reinforcing, causes of intelligence improvements: increases in the speed of computation, and improvements to the algorithms used. The former is predicted by Moore's Law and the forecasted improvements in hardware, and is comparatively similar to previous technological advances. But Schulman and Sandberg argue that software will present more complex challenges than simply operating on hardware capable of running at human intelligence levels or beyond.
    A 2017 email survey of authors with publications at the 2015 NeurIPS and ICML machine learning conferences asked about the chance that "the intelligence explosion argument is broadly correct". Of the respondents, 12% said it was "quite likely", 17% said it was "likely", 21% said it was "about even", 24% said it was "unlikely" and 26% said it was "quite unlikely".
     
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    A.I. Singularity
    Technological Singularity
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    In this groundbreaking video, we dive deep into "The 10 Steps Towards the AI Singularity." Buckle up, because we're about to embark on an incredible journey through the evolution of artificial intelligence and the remarkable path that leads us toward the AI singularity. If you're intrigued by the future of technology, the convergence of human intelligence and machine learning, and the potential implications for our world, this video is a must-watch.

    We begin by exploring the foundational concepts of AI, unraveling the intricate web of machine learning, neural networks, and deep learning. Through this comprehensive breakdown, you'll gain a profound understanding of the tools and techniques driving AI advancements. We'll examine the historical context, tracing AI's origins from Alan Turing's pioneering work to contemporary innovations like GPT-3.

    As we proceed through the video, you'll discover the crucial milestones that bring us closer to the AI singularity. We discuss the accelerating pace of technological progress and the ever-increasing capabilities of AI systems. With each step, we'll explore the ethical and societal implications, shedding light on the importance of responsible AI development.

    Our journey culminates in a discussion of the AI singularity itself, a theoretical point in the future where AI reaches a level of superintelligence, potentially surpassing human capabilities. We'll delve into the debates surrounding the singularity, from the excitement of boundless possibilities to the concerns about unintended consequences.

    Prepare to be enlightened, as this video provides a comprehensive, expertly curated exploration of "The 10 Steps Towards the AI Singularity." Join us in unraveling the mysteries of AI, from its humble beginnings to the threshold of an extraordinary future. Don't miss out on this opportunity to gain insights into the future of technology and its profound impact on our world. Subscribe, like, and share this video to join the conversation and stay informed about the AI singularity's fascinating journey.

    https://youtu.be/AkuZedKiXTc?si=7qlCtDl804-d3KiL

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    Thursday, June 4, 2026

    June πŸ–️ Hello

    πŸ–️   June   πŸ–️
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    What is Special About the Month of June?
    June 20, 21, or 22 (depending on the year) is the longest day of the year with the most daylight hours in the Northern Hemisphere. 
    June also plays host to the ever-important national holidays of Father's Day and Juneteenth.

    What Is the Meaning of June? 
    June is named after Juno, the Roman goddess of youth and protection. Her name (Latin IΕ«nō) comes from the root word for “young” (Iuuen) and goes back to the idea of vital energy and fertility.
     
    Heimlich Maneuver Day
    Each year on June 1 we recognize a life-saving technique on National Heimlich Maneuver Day. This important National Day kicks off National Safety Month, which is just one of the many celebrations you can take this month to help save a life.

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     Mayo Clinic Minute
    A Quick Guide to the
    Heimlich Maneuver
    It can happen in an instant.
    According to the National Safety Council, roughly 5,000 people die from choking each year.  Josh Moeckly, a Mayo Clinic cardiac nurse, says, when you see someone choking, it’s important to remain calm as you let them know you’re about to help.
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    https://youtu.be/2dn13zneEjo?si=HDi2wdvV6_9vZuxq
    More health and medical news on the Mayo Clinic News Network
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