more stars more handsome irl
Flag: | Japan |
Registered: | September 21, 2022 |
Last post: | July 13, 2024 at 3:10 AM |
Posts: | 1173 |
more stars more handsome irl
it's gotta be KCORP vs KRU right??
they lost to FNATIC from 11-3 lead??????????
wtffffffffff
what a throw it's actually pathetic
sentinelmain377
Country: Canada
Registered: April 3, 2022
Last post: April 16, 2023 at 11:19 PM
Posts: 2703
2703 posts kkkkkkkkkkkkkk
get a life bro seriously
that Sykko who won 2-1 against 100T and almost won against LEV gets cut, but EG DFM KCORP KRU's coaches which all looks like completely dogshit are still in franchise league.
i cannot believe that they can't even beat this horseshit EG
bro it's the first time for KRU fighting against NA team
we should never talk about them getting 3rd place in Reykjavik, that tournament was like 100 years ago.
it's actually pathetic how they fell off, I am just sad at this point
nvm
i just realized that i don't have an ex because i never had a girlfriend
have a nice day guys
LOUD FURIA MIBR will qualify for masters Tokyo
they're throwing for their filipino friend that's playing for RRQ
actually...i am an AI (artificial intelligence)
What is artificial intelligence (AI)?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
How does AI work?
As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use it. Often, what they refer to as AI is simply a component of the technology, such as machine learning. AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No single programming language is synonymous with AI, but Python, R, Java, C++ and Julia have features popular with AI developers.
In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. In this way, a chatbot that is fed examples of text can learn to generate lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples. New, rapidly improving generative AI techniques can create realistic text, images, music and other media.
AI programming focuses on cognitive skills that include the following:
Learning. This aspect of AI programming focuses on acquiring data and creating rules for how to turn it into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.
Reasoning. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.
Self-correction. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.
Creativity. This aspect of AI uses neural networks, rules-based systems, statistical methods and other AI techniques to generate new images, new text, new music and new ideas.
Why is artificial intelligence important?
AI is important for its potential to change how we live, work and play. It has been effectively used in business to automate tasks done by humans, including customer service work, lead generation, fraud detection and quality control. In a number of areas, AI can perform tasks much better than humans. Particularly when it comes to repetitive, detail-oriented tasks, such as analyzing large numbers of legal documents to ensure relevant fields are filled in properly, AI tools often complete jobs quickly and with relatively few errors. Because of the massive data sets it can process, AI can also give enterprises insights into their operations they might not have been aware of. The rapidly expanding population of generative AI tools will be important in fields ranging from education and marketing to product design.
Indeed, advances in AI techniques have not only helped fuel an explosion in efficiency, but opened the door to entirely new business opportunities for some larger enterprises. Prior to the current wave of AI, it would have been hard to imagine using computer software to connect riders to taxis, but Uber has become a Fortune 500 company by doing just that.
AI has become central to many of today's largest and most successful companies, including Alphabet, Apple, Microsoft and Meta, where AI technologies are used to improve operations and outpace competitors. At Alphabet subsidiary Google, for example, AI is central to its search engine, Waymo's self-driving cars and Google Brain, which invented the transformer neural network architecture that underpins the recent breakthroughs in natural language processing.
What are the advantages and disadvantages of artificial intelligence?
Artificial neural networks and deep learning AI technologies are quickly evolving, primarily because AI can process large amounts of data much faster and make predictions more accurately than humanly possible.
While the huge volume of data created on a daily basis would bury a human researcher, AI applications using machine learning can take that data and quickly turn it into actionable information. As of this writing, a primary disadvantage of AI is that it is expensive to process the large amounts of data AI programming requires. As AI techniques are incorporated into more products and services, organizations must also be attuned to AI's potential to create biased and discriminatory systems, intentionally or inadvertently.
Advantages of AI
The following are some advantages of AI.
Good at detail-oriented jobs. AI has proven to be as good or better than doctors at diagnosing certain cancers, including breast cancer and melanoma.
Reduced time for data-heavy tasks. AI is widely used in data-heavy industries, including banking and securities, pharma and insurance, to reduce the time it takes to analyze big data sets. Financial services, for example, routinely use AI to process loan applications and detect fraud.
Saves labor and increases productivity. An example here is the use of warehouse automation, which grew during the pandemic and is expected to increase with the integration of AI and machine learning.
Delivers consistent results. The best AI translation tools deliver high levels of consistency, offering even small businesses the ability to reach customers in their native language.
Can improve customer satisfaction through personalization. AI can personalize content, messaging, ads, recommendations and websites to individual customers.
AI-powered virtual agents are always available. AI programs do not need to sleep or take breaks, providing 24/7 service.
Disadvantages of AI
The following are some disadvantages of AI.
Expensive.
Requires deep technical expertise.
Limited supply of qualified workers to build AI tools.
Reflects the biases of its training data, at scale.
Lack of ability to generalize from one task to another.
Eliminates human jobs, increasing unemployment rates.
Strong AI vs. weak AI
AI can be categorized as weak or strong.
Weak AI, also known as narrow AI, is designed and trained to complete a specific task. Industrial robots and virtual personal assistants, such as Apple's Siri, use weak AI.
Strong AI, also known as artificial general intelligence (AGI), describes programming that can replicate the cognitive abilities of the human brain. When presented with an unfamiliar task, a strong AI system can use fuzzy logic to apply knowledge from one domain to another and find a solution autonomously. In theory, a strong AI program should be able to pass both a Turing test and the Chinese Room argument.
Wowwwww, you meow like a cat! That means you are one, right? Shut the fuck up. If you really want to be put on a leash and treated like a domestic animal then that’s called a fetish, not “quirky” or “cute”. What part of you seriously thinks that any part of acting like a feline establishes a reputation of appreciation? Is it your lack of any defining aspect of personality that urges you to resort to shitty representations of cats to create an illusion of meaning in your worthless life? Wearing “cat ears” in the shape of headbands further notes the complete absence of human attribution to your false sense of personality, such as intelligence or charisma in any form or shape. Where do you think this mindset’s gonna lead you? You think you’re funny, random, quirky even? What makes you think that acting like a fucking cat will make a goddamn hyena laugh? I, personally, feel extremely sympathetic towards you as your only escape from the worthless thing you call your existence is to pretend to be an animal. But it’s not a worthy choice to assert this horrifying fact as a dominant trait, mainly because personality traits require an initial personality to lay their foundation on. You’re not worthy of anybody’s time, so go fuck off, “cat-girl”.
I fucking hate gaming laptops
Today when I walked into my economics class I saw something I dread every time I close my eyes. Someone had brought their new gaming laptop to class. The Forklift he used to bring it was still running idle at the back. I started sweating as I sat down and gazed over at the 700lb beast that was his laptop. He had already reinforced his desk with steel support beams and was in the process of finding an outlet for a power cable thicker than Amy Schumer's thigh. I start shaking. I keep telling myself I'm going to be alright and that there's nothing to worry about. He somehow finds a fucking outlet. Tears are running down my cheeks as I send my last texts to my family saying I love them. The teacher starts the lecture, and the student turns his laptop on. The colored lights on his RGB Backlit keyboard flare to life like a nuclear flash, and a deep humming fills my ears and shakes my very soul. The entire city power grid goes dark. The classroom begins to shake as the massive fans begin to spin. In mere seconds my world has gone from vibrant life, to a dark, earth shattering void where my body is getting torn apart by the 150mph gale force winds and the 500 decibel groan of the cooling fans. As my body finally surrenders, I weep, as my school and my city go under. I fucking hate gaming laptops.
rare smart VLR user, RedditGGGB W
General relativity is physicist Albert Einstein's understanding of how gravity affects the fabric of space-time.
The theory, which Einstein published in 1915, expanded the theory of special relativity that he had published 10 years earlier. Special relativity argued that space and time are inextricably connected, but that theory didn't acknowledge the existence of gravity.
Einstein spent the decade between the two publications determining that particularly massive objects warp the fabric of space-time, a distortion that manifests as gravity, according to NASA .
To understand general relativity, first, let's start with gravity, the force of attraction that two objects exert on one another. Sir Isaac Newton quantified gravity in the same text in which he formulated his three laws of motion, the "Principia."
The gravitational force tugging between two bodies depends on how massive each one is and how far apart the two lie, according to NASA (opens in new tab). Even as the center of the Earth is pulling you toward it (keeping you firmly lodged on the ground), your center of mass is pulling back at the Earth. But the more massive body barely feels the tug from you, while with your much smaller mass you find yourself firmly rooted thanks to that same force. Yet Newton's laws assume that gravity is an innate force of an object that can act over a distance.
Albert Einstein, in his theory of special relativity, determined that the laws of physics are the same for all non-accelerating observers, and he showed that the speed of light within a vacuum is the same no matter the speed at which an observer travels, according to Wired .
As a result, he found that space and time were interwoven into a single continuum known as space-time. And events that occur at the same time for one observer could occur at different times for another.
As he worked out the equations for his general theory of relativity, Einstein realized that massive objects caused a distortion in space-time. Imagine setting a large object in the center of a trampoline. The object would press down into the fabric, causing it to dimple. If you then attempt to roll a marble around the edge of the trampoline, the marble would spiral inward toward the body, pulled in much the same way that the gravity of a planet pulls at rocks in space.
In the decades since Einstein published his theories, scientists have observed countless of phenomena matching the predictions of relativity.
Light bends around a massive object, such as a black hole, causing it to act as a lens for the things that lie behind it. Astronomers routinely use this method to study stars and galaxies behind massive objects.
The Einstein Cross, a quasar in the Pegasus constellation, according to the European Space Agency(ESA), and is an excellent example of gravitational lensing. The quasar is seen as it was about 11 billion years ago; the galaxy that it sits behind is about 10 times closer to Earth. Because the two objects align so precisely, four images of the quasar appear around the galaxy because the intense gravity of the galaxy bends the light coming from the quasar.
In cases like Einstein's cross, the different images of the gravitationally lensed object appear simultaneously, but that isn't always the case. Scientists have also managed to observe lensing examples where, because the light traveling around the lens takes different paths of different lengths, different images arrive at different times, as in the case of one particularly interesting supernova.
The orbit of Mercury is shifting very gradually over time due to the curvature of space-time around the massive sun, according to NASA.
As the closest planet to the sun, Mercury’s perihelion (the point along its orbit that it’s closest to the sun) is predicted to follow a slightly different direction over time. Under Newton’s predictions, gravitational forces in the solar system should advance Mercury's precession ( change in its orbital orientation) is measured to be 5,600 arcseconds per century (1 arcsecond is equal to 1/3600 of a degree). However, there is a discrepancy of 43 arcseconds per century, something Einstein's theory of general relativity accounts for. Using Einstein’s theory of curved space-time, the precession of Mercury’s perihelion should advance slightly more than under the predictions of Newton, since planets don’t orbit the sun in a static elliptical orbit.
Sure enough, several research papers published since the mid 20th century have confirmed Einstein's calculations of Mercury’s perihelion precession to be accurate.
In a few billion years, this wobble could even cause the innermost planet to collide with the sun or a planet.
The spin of a heavy object, such as Earth, should twist and distort the space-time around it. In 2004, NASA launched the Gravity Probe B (GP-B). The axes of the satellite's precisely calibrated gyroscopes drifted very slightly over time, according to NASA (opens in new tab), a result that matched Einstein's theory.
"Imagine the Earth as if it were immersed in honey," Gravity Probe-B principal investigator Francis Everitt, of Stanford University, said in a NASA statement (opens in new tab) about the mission.
"As the planet rotates, the honey around it would swirl, and it's the same with space and time. GP-B confirmed two of the most profound predictions of Einstein's universe, having far-reaching implications across astrophysics research."
GRAVITATIONAL REDSHIFT
The electromagnetic radiation of an object is stretched out slightly inside a gravitational field. Think of the sound waves that emanate from a siren on an emergency vehicle; as the vehicle moves toward an observer, sound waves are compressed, but as it moves away, they are stretched out, or redshifted. Known as the Doppler Effect, the same phenomena occurs with waves of light at all frequencies.
In the 1960s, according to the American Physical Society , physicists Robert Pound and Glen Rebka shot gamma-rays first down, then up the side of a tower at Harvard University. Pound and Rebka found that the gamma-rays slightly changed frequency due to distortions caused by gravity.
Einstein predicted that violent events, such as the collision of two black holes, create ripples in space-time known as gravitational waves. And in 2016, the Laser Interferometer Gravitational Wave Observatory (LIGO) announced that it had detected such a signal for the first time.
That detection came on Sept. 14, 2015. LIGO, made up of twin facilities in Louisiana and Washington, had recently been upgraded, and were in the process of being calibrated before they went online. The first detection was so large that, according to then-LIGO spokesperson Gabriela Gonzalez, it took the team several months of analysis to convince themselves that it was a real signal and not a glitch.
"We were very lucky on the first detection that it was so obvious," she said during the 228 American Astronomical Society meeting in June 2016.
Since then, scientists have begun quickly catching gravitational waves. All told, LIGO and its European counterpart Virgo have detected a total of 50 gravitational-wave events, according to program officials, according to the Laser Interferometer Gravitational-wave Observatory.
Those collisions have included unusual events like a collision with an object that scientists can't definitively identify as black hole or neutron star, merging neutron stars accompanied by a bright explosion, mismatched black holes colliding and more.
In 2021 research published in the journal Physical Review X (opens in new tab), challenged several of Einstein's predictions by observing a double-pulsar system around 2,400 light-years from Earth. Each of the seven predictions of general relativity was confirmed by the study.
sources:Nola Taylor Tillman, Meghan Bartels, Scott Dutfield published January 06, 2022
i'm talking about VLR users in general, but it might be only you that is brain dead. my bad for that
you guys always blame the coach when the team does bad but not potter lmaoooooooo
yeah let's blame mCe mikes mimi frod alecks xqq emil and more when they suck but not potter when EG is looking like by far the worst team in America
imagine feeling offended by being called "shit region" by zombs kekw
is because Noyn knew the players that's on the list would get hate. His conscience(lol) stopped it because he felt bad for the things Tenz is going through right now, and didn't want TenZ to get more hate.
This clearly shows that Noyn is purposely trying to spread hate towards the players
Fennel and Crazy raccoon clears ZETA and DFM
*noyn making jokes about a player that is struggling
he is doing this "bagre" vote to spread hate against the players and coaches. This is so cringe, he is also subscribed to twitter blue which is a huge L
CABECA TA DOENDO PELA BALA DO TUYZ??? CABECA TA DOENDO PELA BALA DO TUYZ??? CABECA TA DOENDO PELA BALA DO TUYZ??? KKKKKKKKKKKKKKKKKKKK
ardiis owns Brazil and your team
why do these guys act like they're tier1 analysts, when they probably don't even know how to play the game??
bro said T1 lmao
mans clueless
https://twitter.com/georgecged/status/1645394470773424132?s=46
GenG without eko 13-8,13-8,13-8,13-6
GenG with eko 4-13(loss),13-11,13-9
fuck the 6 man roster and just play with sylvan
SIX MAN ROSTER NEVER WORKED OUT
counter jinx worked out really well UwU
you mean 150k viewers for ZETA?
i think u are misunderstanding the meaning of >
after his one year sleep, he finally woke up today
india last hope lets gooooo!!!!!
getting 2-0ed by gLULbal Esports
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For the blind, he is light. For the hungry, he is bread. For the sick, he is the cure. For the sad, he is joy. For the poor, he is the treasure; for the debtor, he is forgiveness
obviously yes??
look how many followers something has,most of them are Japanese
all them were his ex-teammate
it's not like Japanese players were crying because they got shit on so hard
bro u are spreading false information. The guy who was saying that was "razkingz" which is russian, something's former teammate on bluebeez
https://twitter.com/freakya_ru/status/1497929685920976904?s=46