Partner rating PG-13 Release date 2007 Running time 2:00:47 Language French
In 1645, the French playwright and actor Jean-Baptiste Poquelin -- better known as Moliรจre -- mysteriously disappeared for several weeks, and this lavish comedy drama imagines a scenario that could explain what may have happened to him.
At this time, Moliรจre (Romain Duris) is touring the French countryside with his traveling theater company, and he's yet to be recognized as one of the continent's great authors (or achieve significant financial success). Moliรจre is put in jail after skipping out on some unpaid debts, but is freed after his fine is paid by two strangers. Moliรจre discovers his benefactors are acting on behalf of Jourdain (Fabrice Luchini), a very wealthy man who has a beautiful wife, Elmire (Laura Morante) and two lovely daughters.
However, Jourdain has fallen head over heels for Celimene (Ludivine Sagnier), a gorgeous widow, and he's written a short play in order to demonstrate his feelings for her. Jourdain needs someone to help him polish his script and serve as an acting coach, and he's recruited Moliรจre for the job. Needing the money, Moliere accepts, but he poses as a man of the cloth, Monsieur Tartuffe, to keep his identity a secret.
Moliรจre soon realizes that Jourdain's talent exists only in the rich man's imagination, and that Jourdain already has a rival for Celimene's affections, the charming but duplicitous Dorante (Edouard Baer).
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!
DISCLAIMER - Parental Guidance advised.
This parody is not aimed at children and videos my contain swear words and adult humor.
๐ Cell Block Tango ๐๐ฝ 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) ๐ ๐๐ป ๐๐ฝ ๐
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Comments
๐ฃ The
fact this is one woman (Just Josie) singing ALL the Roles is so dang impressive. ๐ฃ 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! ๐ฅฐ
๐ฃ “He accidentally ran into my frying pan... 10 times!” Loved Rapunzel for that line alone!๐ ๐ฃ Ariel: *Uses one of her fishy friends to kill Eric* Puffer fish: FOR QUEEN AND COUNTRY! ๐ฃ 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 ๐ข ๐ฃ 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! ๐ฆ
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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๐ฃ 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. ๐ฃComments ๐ฃ Queen of Heartspart is hilarious. ๐คฃ 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 ๐ฃ Why is everyone so confused, scar is here ๐คฃ he’s a queen Yeah, he's a DRAMA QUEEN ๐ฃ 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. ๐ฃ 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 “ ๐ฃ "Single my GLASS!" ๐ฃ 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. ๐๐๐๐๐๐
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]
Computers will outstrip human capabilities within many of our lifetimes.
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.
2029 SINGULARITY:
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.
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.
Humane’s
Ai Pin was supposed to free people from smartphones, but sales have
been slow. Now Humane is talking to HP and others about a potential
sale. Here’s how the device flopped.
Federal regulators have reached a deal that allows them to proceed with antitrust investigations into the dominant roles that Microsoft, OpenAI and Nvidia play in the A.I. industry.
After some trying years during which Mark Zuckerberg could do little right, many developers and technologists have embraced the Meta chief as their champion of “open-source” A.I.
D’Youville University in Buffalo had an A.I. robot speak at its commencement. Not everyone was happy about it.
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.
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 singularitรฉ technologique (ou simplement la Singularitรฉ) est l'hypothรจse selon laquelle l'invention de l'intelligence artificielle dรฉclencherait un emballement de la croissance technologique qui induirait des changements imprรฉvisibles dans la sociรฉtรฉ humaine.
Au-delร de ce point, le progrรจs ne serait plus l’ลuvre que
d’intelligences artificielles qui s’auto-amรฉlioreraient, de nouvelles
gรฉnรฉrations de plus en plus intelligentes apparaissant de plus en plus
rapidement dans une « explosion d'intelligence », dรฉbouchant sur une
puissante superintelligence qui dรฉpasserait qualitativement de loin l'intelligence humaine.
Le risque serait que l'humanitรฉ perde le contrรดle de son destin. L'auteur de science fictionVernor Vinge est mรชme convaincu, dans son essai La venue de la singularitรฉ technologique, que la singularitรฉ signifierait la fin de l'รจre humaine,
la nouvelle superintelligence continuant de s'amรฉliorer et d'รฉvoluer
technologiquement ร une vitesse incomprรฉhensible pour les humains.
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. Mรผller, suggested a confidence of 50% that human-level AI would be developed by 2040–2050.
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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๐ ๐ค ๐
****
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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