[XEM GẤP]: TÀI LIỆU CẤP BOM HẠT NHÂN CỦA OpenAI BỊ RÒ RỈ 😱 |Ms. Ruby

In early March this year, a nuclear bomb-related document, suspected to be a leak from OpenAI, began to be quickly circulated on the Internet. This document came from a Twitter account named Vancouver1717. This account was registered in July 2023. There are only two tweets on it. One tweet reads, AGI will be born in 2030. Another tweet is the PDF version with the name Killstar. The first sentence of the document was shocking. It said that in 2027, OpenAI would create AGI, which is equivalent to human intelligence. AGI is the abbreviation of Artificial General Intelligence, which means common artificial intelligence or artificial intelligence. Unlike the weak artificial intelligence, which is mainly used to complete a specific task that is popular today, AGI can perform common or complex tasks, can think and learn like humans, and has self-awareness and self-esteem. Many people think that the emergence of AGI will mark the background in imaginary science movies. AI, full-time work and human life, will become reality. The document, titled Killstar, states that since 2022, OpenAI has begun to train a multidimensional model with 125 billion parameters. This model is called Killstar. OpenAI completed training on Killstar in December 2023, but due to the investment cost for the computing power of the computer is too high, the launch time has been delayed many times. Currently, OpenAI plans to launch GPT-8 using the Killstar model in 2027. At that time, this model will perform AGI in its entirety. The level of intelligence is equivalent to humans, with an IQ index of 145. Did you know that Einstein's IQ index is 160? But there is only one Einstein in this world. So how scary is the emergence of AI with an IQ of 145? Moreover, if this document is true, then it is not the time that AI leaves for humans, only 3 more years. There are people who say that in the future, AGI will destroy humans. There are also people who say that the current AI is still just an object. Basically, there is nothing to be afraid of. But there is one more point, have you ever thought about it? The emergence of this emerging technology is like jumping out of the water and diving into the process of developing the human civilization. Its path is different from the human civilization that existed thousands of years ago. So what is this all about? Today, let's dig deeper into the life of AI, see where the problem lies. AI, the story of aliens and us, what does it have to do with each other? Today, let's talk about AGI. Hello everyone, I'm Miss Ruby. If you want to see the future of AI, you definitely have to learn about its past. Because the rumors of history can help us predict the future. In 1950, when the first computer was not yet created, Alan Turing, a British computer scientist, proposed in a paper titled Computer and your intelligence a set of methods to judge whether the machine has intelligence or not. Turing experiment is actually a theoretical experiment. Its specific content is like this. Invite a machine A and a normal person B to participate in the experiment. The experimenter is another C. C does not see A and B, but can ask a series of questions. If through a series of questions, C still cannot distinguish the difference between A and B, it means that the computer has passed Turing test. Turing's point of view is that if we cannot distinguish between machines and humans, then we cannot deny that machines are also thinking. What happened next, maybe Turing himself could not think of. Four years after Turing gave this experiment, he passed away. In the following decades, Turing experiment has developed into an important measure to measure the level of development of artificial intelligence, AI. Named the beginning star of AI. All of this generation of researchers, to the next generation of researchers, are very positive. Try to get your new processes invented through the Turing experiment. In the 1960s, the American Computer Association, ACM, also established the Turing Prize to award individuals with excellent contributions to the computer industry. In August 1956, John McCarthy, assistant professor of computer science at Dartmouth University, and was also the winner of the Turing Prize in 1971. And C. Shannon, the father of information theory, with others, held a two-month seminar. The theme of the seminar sounds very strange. It is how computers can catch the mind of students and smart minds in other aspects. The meeting was held in Dartmouth College, a quiet town in Hanover, USA. So the meeting was also called the Dartmouth Conference. Before the meeting was to receive the funding of the Rockefeller Fund, McCarthy and others had to come up with a fancy name for the theme of the meeting, Artificial Intelligence. And that's where the word AI came from. The Dartmouth Conference was held in 1956, later known as the first year of AI. 20 years after the conference, it was the first golden age for the development of AI, and the development of new methods and approaches. 20 years after the Dartmouth Conference, it was called the era of technology discovery. The development of computers at this time was amazing. Computers could write large numbers, prove mathematical equations, learn and use English, as well as other languages. Most people at that time could not believe that machines could be so smart. It was too crazy. In 1961, the first industrial robot in the world, Unimate, was put into use at General Electric in New Jersey, USA. In 1966, the first mobile robot, Jackie, was born. The same year as Jackie, there was also Elizer. Earlier, we also talked about it in the chat dbt article. Elizer, released in 1966, can be regarded as equivalent to Alexa, Amazon's voice assistant today, and Google's smart assistant and Apple's Siri voice assistant. It can be considered Siri's third-generation product. It has no human form, no voice, just a simple machine program through a doctor's script written by humans to perform similar psychological consultations by text. When Elizer was born, a group of researchers said that the machine could talk and solve problems. However, for the intelligence that humans have, such as imagination, self-awareness, and natural language processing, for the robot that speaks, it is still far away. But this does not prevent people from being optimistic about artificial intelligence. Scientists now believe that comprehensive smart machines will appear in the next 20 years. Unfortunately, the first cold winter of artificial intelligence has come later. In the early 1970s, artificial intelligence encountered a bottleneck. Although the most famous artificial intelligence program at that time could only explain some simple problems, it looked like a toy. Artificial intelligence researchers encountered basic obstacles that could not be overcome, including financial difficulties. The previous optimistic attitude made people put too much hope in artificial intelligence. However, when the promises of scientists were delayed, sponsors gradually lost enthusiasm for AI. Many government agencies gradually stopped sponsoring artificial intelligence research. For example, the U.S. National Science Commission stopped sponsoring after spending $ 20 million. In 1973, the British government was extremely disappointed with the AI research project led by the University of Oxford and canceled the annual $ 3 million funding. By 1974, it was very difficult to find large investors willing to sponsor AI projects. One of the main reasons that AI had to go through the cold winter was that at that time there was no computer capable of computing. You need to know that the computing power of the Apollo 11 used to answer the Moon was not as good as a smart phone. In addition to computing, we all know that to simulate human behavior and intelligence, what else is needed? It requires a large amount of training data to train this artificial intelligence model. Power, computing, data plus a computing technique need these three basic elements of AI. But in these three elements, at that time, not a single element was available. So the failure of artificial intelligence was in the data. So at that time, there were people who even criticized the artificial intelligence industry saying that humans want to step on the Moon, so create a ladder, use this ladder to climb a big tree, then proudly declare that now we are one step closer to the Moon. A few years later, when artificial intelligence was frozen until the 1980s, an AI program called the Expert System began to be used by many large companies. This program can answer or solve some specific problems in some specific areas based on certain logical rules. For example, an artificial intelligence called Dendro can distinguish the components of a compound based on optical measurement results and is used by many pharmaceutical companies to produce drugs. There is also Mycin, designed in 1972, which can detect blood transplants with an accuracy of up to 69%, while the accuracy of medical experts is only 80%, which is very close. Until 1978, after Carnegie Mellon University developed the S-Con computer for American computer companies, artificial intelligence once again surpassed the cold winter, entering the second fastest The success of artificial intelligence finally attracted the attention of sponsors. In 1981, the Japanese Ministry of Economy, Trade and Industry raised $850 million to support the 5th generation The goal is to create a robot that can talk, interpret, explain images, and be able to think like a human. Other countries have also been inspired. Britain launched the AVI project worth 350 million pounds. The US Business Association has established MCC to provide large-scale financial support for the fields of artificial intelligence and information technology. A large amount of money began to fall into the field of artificial intelligence, but the history is always the same in a surprising way. Not long after, artificial intelligence had to face a cold winter. The earliest sign was the sudden decline in the demand for AI hardware in 1987. Meanwhile, the computer's capabilities continued to improve. By 1987, its capabilities had surpassed the products of many artificial intelligence companies. You work on artificial intelligence, but in the end, their computers are smarter than yours. So a lot of modern artificial intelligence products have lost their existence. And basically, in just one night, the field of artificial intelligence collapsed again and had to wait 10 years for it to rise again. On May 11, 1997, after a fierce competition between IBM-developed Deep Blue and King of Kings Kerry Kasparov, Deep Blue finally defeated Kasparov with a score of 2 wins, 1 loss and 3 draws, becoming the first machine that can really defeat humans. Deep Blue's victory over Kasparov was a groundbreaking event. The mark of artificial intelligence research has entered a new phase, also marking the complete infiltration of artificial intelligence into human life. Deep Blue's victory is due to the computer's computing power has increased significantly. IBM has prepared a large amount of data for Deep Blue, and almost all human data has been imported into Deep Blue. In the process of practical operation, Deep Blue can use massive computing power to quickly evaluate all countries, judge which way to go, and then quickly choose the best strategy for it. Deep Blue can predict 12 countries in advance, meaning it can think of the next 12 countries. Each second can complete the calculation of 200 million kingly countries, 200 million chess moves in a second. And its opponent Kasparov based on his international chess experience, he can only predict 10 countries in advance, less than Deep Blue 2 countries. As for computing power, the human brain has lost to the computer. The same year, Deep Blue defeated Marco Brut, a physicist at the University of Carolina, for the first time to propose the concept of AGI. This concept was mentioned at the beginning of the video. AGI, in terms of meaning, is translated as Useful Artificial Intelligence, also known as Strong Artificial Intelligence. Deep Blue, then AlphaGo, which later Google developed, then even ChessGPT, all belong to Weak Artificial Intelligence, which can only complete specific tasks in specific areas. But this AGI is different. It can live like a human, complete more complex tasks in more areas, can show a high level of intellectual flexibility like a human, can even have self-awareness and feelings. In 2016, Artificial Intelligence has made a leap forward. That year, Google's AlphaGo shook the world when it defeated the master of Korean chess, Lee Sedol. The advantage of Deep Blue is based on huge computing power and huge data. But the complexity of international chess and Chinese chess cannot be compared. The changes in chess are extremely complex. Each country has at least 250 possibilities. The advantage that Deep Blue has is the ability to calculate and choose the best solution that is very difficult to find in chess. The advantage of AlphaGo is based on accurate, sophisticated algorithms. It has reached the algorithm stage and is capable of learning surprisingly well. Before Lee Sedol, AlphaGo was introduced to a huge data model about chess. Through high-intensity learning simulations, AlphaGo has learned to play chess in a deep way for a long time. It's like a genius with extraordinary talent that you can't forget when you look at it. Remembering countless types of chess, and through self-learning, becoming a chess master. A model like this actually has the characteristics of the highest level of human intelligence. Kha Khiet, the world chess champion of China, once described AlphaGo like this. It feels like a person playing chess A very balanced style of playing chess. It really can't be seen. This is a hand from a computer program. From Deep Blue to AlphaGo, it can be said that it is a leap from the knowledge of math to the knowledge of artificial intelligence. So both Deep Blue and AlphaGo, although they are so terrible, they are still just a weak artificial intelligence. So what is the Q-Star project that we talked about at the beginning of the video? This is that magical document, a PDF file. The first page of the document is revealing OpenAI's plan for 2027 to implement AGI. The summary in the second page shows us that since August 2022, OpenAI has started training a multi-format model with 125 billion digits. This is a model with a quite terrible scale. The signature of this model is Q-Star. In December 2023, OpenAI completed training related to Q-Star. Due to the high cost of investment for computing power, the release time was repeatedly delayed. The base according to this document shows that they plan to release GPT-8 based on this model in 2027. Please pay attention to the last 3 words of this sentence Achieving Full AGI Implementing AGI In this page there is also a group of numbers In 2025, Q-Star will have AI with the same level as IQ 145 human IQ. This is a concept like this. The average human IQ is about 85-115 and the average human IQ is about 100. A higher IQ than 130 can be considered a disaster. Einstein's IQ is 160. So AI with IQ 145 is enough to match the IQ of most of us. If the content of this document is true, then the AI time left for humans is only 3 years left. Although there are many netizens who doubt the accuracy of the document, but the Q-Star magic project mentioned in it has actually been widely circulated on the Internet since November last year. November 2023 Sam Allman, CEO and founder of OpenAI was fired Just a day before Allman was fired, at an event, he had a few speeches that attracted the attention of many people. For example, he said, this is the tool we created or the creature we created. This will be our biggest update. Many people are puzzled at this time. OpenAI has already created AGI. Four days after Allman was fired, the Q-Star artificial intelligence model was leaked. There is a rumor on the Internet that the real cause of Allman's dismissal may be the disagreement between him and other senior leaders about this Q-Star project. This kind of explosive news makes people curious. In the end, how far has AI developed? Perhaps AI is really a cyber-technology battle. As long as you are a little sensitive about the world's development trend, you will surely realize that we are at the pinnacle of a major change, 150 times. Everyone knows Elon Musk is currently hiring Allman and OpenAI. Until now, Musk has always maintained a guard against artificial intelligence, even opposed it. In the documentary Do you believe in this computer? Musk said, if AI wants to achieve a goal, just two people are blocking its way, then AI will do nothing but destroy people. If AI has a goal and humanity just happens to be in the way, it will destroy humanity as a matter of course, without even thinking about it, no hard feelings. So the problem has already appeared. Can AI really destroy humans? In 2023, Fox News decided to interview Geoffrey Hinton, nicknamed the father of artificial intelligence, the father of deep learning, a function of artificial intelligence, and the father of human brain to process data, so he sent an email to contact him. Hinton likes to use some funny punctuation words in the mail, so at the end of the interview, he wrote, Fox News is an oxymoron. These two words, oxymoron, if written together, will mean contradiction, that is, combining two contradictory words that seem to contradict each other. For example, sweet lies, kindness, but when you write these two words apart, oxymoron, it becomes the meaning of a dance. After sending the email, Hinton came up with an idea, inputting this sentence of his into GPT, to see if he could understand this joke of his. As a result, you try to guess, GPT said, this sentence of his is hinting at Fox News as a fake news media. And then GPT continued, just like an oxycontin painkiller can cause such a person, Fox News can also cause. About this oxycontin painkiller, it's another shocking story, we'll talk more about it later. You see, GPT not only understood Hinton's joke, but also gave Hinton another joke. You see, it's terrible, it's not like a person At this time, Hinton realized that artificial intelligence has reached a completely new state. On May 11, 2023, Jeffrey Hinton, after working at Google for 11 years, announced his resignation. At first, people guessed there was a problem with Google's internal management. But later, in an interview, Hinton said, the real reason he resigned was that he wanted to be free to discuss the hidden risks of AI. He said, I regret what I've been studying all my life. Then, the New York Times wrote an article about Hinton with the title When AI's father began to fear his creations When the pioneer of artificial intelligence suddenly became the scapegoat of AI, does it mean that the development of artificial intelligence has lost speed? In fact, many people have noticed that artificial intelligence has long led to major changes in our lives. The information you see on your phone is due to artificial intelligence through special algorithms proposed to you. When you go online to buy things, the things displayed on your computer are also artificial intelligence based on your daily habit of shopping. It is even based on the time you go to different websites that propose you the ads of the brand that you are interested in or the easiest to buy. Have you noticed that? Even in the afternoon when you are having lunch with friends, people mention the destination right on the way home when you turn on your phone you can see the ads related to the destination you want to go. Is that right? It's scary, isn't it? Think about it, the phone is a mixing machine. If you put it next to you, it will hear everything you say. Do you have this scary feeling? It's like every time you have someone or an invisible pair of eyes staring at you. If you have the same feeling, please leave a comment and share with Rubinia. So these so-called artificial intelligence have penetrated deep into all aspects of our work and life. So the problem has arisen. Why are humans gradually put in a position to be controlled? Recently, a very hot movie was released on Netflix. Once again, it was discussed about life on the planet. Is there anyone on the planet? Now, not many people begin to realize that the universe is so vast and the galaxy is so large. There must be only the Earth, where the dust in the universe can exist. How come in this universe there is only one civilization like the human civilization? There are countless galaxies out there, and life is suitable for survival there. Some of us often hear about the god of the forest, the little gray man. This is not the kind of life that is not like humans. In addition, in many legends, there is also talk of life on other planets outside the Earth. However, for many people who do not believe in the existence of aliens, they also have quite suspicious doubts. If aliens are real, you say there are aliens. So why haven't they come to talk to humans? Why don't they come to get used to us? Why don't they come to take over the Earth? The Earth is so beautiful. In fact, according to documents revealed by experts like William Tomkin, Hollywood pointed out that aliens have soon come into contact with humans. They bring advanced technology to the Earth, and are even taking over our Earth. Supercomputers, artificial intelligence are all considered the technology of aliens. In the universe, there are countless high-level and aliens are one of them. According to ancient religious books, humans are created by God based on their appearance. It is clear that aliens are not like humans. They are not created by God, but are a species gradually born in the long existence of the universe. Their life expectancy is very low, which is completely lower than human life expectancy. But they have advanced technology and technology. For a long time, they have explored the universe and discovered the existence of the Earth and humanity, just like in Star Wars. Some people wonder why the human state of thousands of years ago is the same. The human society of thousands of years ago is almost the same. The society of ancient China or the society of ancient Europe has not changed much. But suddenly, after the industrial revolution of the 18th century, in the West, there is a so-called science that is only 200 years old. In fact, human beings do not have to become smarter. In terms of human IQ, human beings today and people in ancient times are not much different. We are not much smarter than people in the past. So for thousands of years, people have not thought about developing along this path. But in just 200 years, people have developed along a completely different path Have you ever thought about this problem? Is this really the result of the development of mankind? It seems that there is a sudden emergence of something in the middle that makes human technology go in a completely different direction. You must have heard or scientists, experts have warned that all these things are caused by extraterrestrials who deliberately bring technology and civilization to our Earth It is not technology that we should have. Although this is not the mainstream recognition, it is reasonable. It is true that science is developing, people feel that technology is progressing, but at the same time the Earth's environment is polluted, destroyed, and destroyed. If it continues to develop like this, what will happen to the future of mankind? So it is very likely that at the end of the movie, extraterrestrials will turn the Earth into their home, and mankind will be destroyed. Perhaps for those who believe that God created the world, created the universe, created mankind, then surely God will take care and protect us. And the universe will also have its own laws of existence. But God teaches people to respect morality, to preserve traditional culture. If people leave God's teachings, what they like to do, too focused on material development and leave the spiritual value, then there is no need to wait for artificial intelligence or aliens. People also destroy their own home. Conversely, if people know to return to the right path, return to the teachings of the gods, value morality, faith in God, then people have the opportunity to escape the danger of destruction. And for you, I don't know what you think about this issue. Welcome to share your thoughts in the comment section below the video. And our sharing today will stop here. If you find this video or the content on our channel really helpful, please share it with your friends to learn more. Thank you very much. Goodbye and see you again.