霍金炒作,霍金sma

霍金（Stephen Hawking）是英国著名的理论物理学家，他的炒作主要是由于他的科学成就和对普通大众的吸引力。他凭借自己的智慧和勤奋，在宇宙学和重力物理学领域取得了突破性的成就，他的许多著作也深受世界各地的读者青睐。

首先，让我们来谈谈霍金的SMA拓展（Stephen Hawking's Stretching of Metric Anisotropies）。SMA拓展是霍金提出的一种用于研究宇宙学的新方法，它是一种基于广义相对论的拓展，可以用来研究宇宙的发展及其形成的结构。这种拓展把宇宙的发展削减到了一个可以描述宇宙的更小的空间，它不仅可以更好地描述宇宙的发展，而且可以解释宇宙中的许多现象，例如黑洞、星系形成等。

其次，让我们来看看霍金的黑洞热量理论（Hawking Radiation Theory）。黑洞热量理论是霍金提出的一种新的物理理论，它解释了黑洞的特性，并且提出了黑洞可以从自身释放出热量的概念。这一理论表明，即使在一个没有物质的环境中，黑洞也会从自身释放出热量，这种热量被称为“霍金辐射”，它可以被用来解释宇宙中许多现象，例如黑洞的演化和衰变。

最后，让我们来看看霍金的宇宙学论文（Hawking Cosmology Papers）。霍金的宇宙学论文是他在宇宙学领域的一些重要著作，其中包括他的著名论文《宇宙学的统一》，以及他的其他论文，涉及宇宙学的各个方面，如宇宙的演化、宇宙的形成、宇宙的结构等。这些论文不仅深入地研究了宇宙学的各个方面，而且也提出了许多新的理论，这些理论不仅引起了科学界的极大关注，而且也为宇宙学的发展做出了重要贡献。

总的来说，霍金的炒作不仅仅是由于他的科学成就，更重要的是他提出的新的理论和论文，他的SMA拓展、黑洞热量理论和宇宙学论文都为宇宙学的发展做出了重大的贡献，也深受世界各地的读者青睐。

请查看相关英文文档

1. When were Hawking’s five predictions made?

In an interview with BigThink, a famous American intellectual video sharing website, in 2010, Hawking proposed the five predictions of mankind:

1. In 2032, the earth will enter an ice age and global warming will occur: The problem of global warming has long been known to the world, and we humans have also taken corresponding measures to establish a low-carbon and environmentally friendly life. However, human activities will definitely lead to global warming, which may eventually cause the earth's temperature to become unbalanced and enter an ice age. This is the closest of Hawking's five predictions to the present.

2. Humans will leave the earth and immigrate to Mars in 2060: In 1969, humans first landed on the moon. After the end of the U.S. moon landing program, no one has gone to the moon again for half a century. Suffered. This is not the stagnation of technology, this is preparation for future explosion.

3. In 2100, humans will enter outer space and new races will emerge: In 2006, Hawking attended an academic seminar in Mumbai, India and said: If humans do not destroy themselves in the next 100 years, the level of human science will It is expected to develop to the point of landing on other planets in the solar system. It is not a bad idea to enter outer space and breed new races from new environments.

4. The earth will face catastrophic destruction in 2215: There are countless predictions about the end of the world, but so far no prediction has really hit the mark. But there’s no telling what the earth will look like two hundred years from now. At that time, humankind's technology was definitely much higher than it is now. The earth would not be able to withstand any global war.

5. The earth turns into a blazing "fireball" in 2600: Hawking believes that as the population grows, the earth's energy consumption will become larger and larger. If better renewable energy cannot be found instead, If so, the earth's resources will be exhausted by humans sooner or later.

(1) Hawking talks about blockchain extended reading:

On March 14, 2018, the well-known physicist Stephen Hawking passed away at the age of 76 age. Mr. Hawking, who has been committed to exploring the mysteries of the universe, has made extremely huge contributions to the field of human exploration of the universe. Scientist Hawking had many famous theories and scientific speculations during his lifetime.

At the launch ceremony of the Royal Society of Science in London in 2015 to search for signs of extraterrestrial life, Hawking said: "In the infinite universe, there must be other forms of life."

He said: "Perhaps extraterrestrial life will be staring at us." "Whether extraterrestrial intelligent life ultimately exists or not, it is time for someone to officially invest in it. We must understand this issue. ."

Hawking has said many times that "the complete development of artificial intelligence may lead to the destruction of mankind." According to Hawking, artificial intelligence technology does bring convenience to human life in its initial stage of development, but machines will likely redesign themselves at an ever-accelerating speed.

And humansHowever, due to the speed of biological evolution, it cannot compete with it and will eventually be surpassed. The scientific community calls this turning point when artificial intelligence surpasses human intelligence the "singularity."

In a paper "Information Preservation and Weather Forecasting of Black Holes", Hawking pointed out that black holes actually "do not exist", but "gray holes do exist", once again shocking the physics community.

Hawking proposed the famous "Hawking Radiation" theory in 1976, which means that while the mass of a black hole decreases during its formation, it continues to emit radiation to the outside world in the form of energy. But once the black hole condenses and evaporates, all the information in it disappears, contradicting the theory of quantum mechanics that holds that this type of material information will never completely disappear. This is the so-called "black hole paradox".

For more than 30 years, Hawking tried to explain this contradictory view with various speculations. Now it seems that he gave a more convincing answer. Hawking admitted that his initial understanding of the "event horizon" at the boundary of a black hole was flawed, and that light can actually pass through the event horizon. He said that black holes never completely close themselves, and matter and energy will be released into the universe again after being trapped by the black hole for a period of time.

2. Reading experience in the intelligent era

"Intelligent Era" is a hardcover book written by Wu Jun and published by CITIC Publishing Group. The book reveals the impact of big data and machine intelligence on future society. Here I would like to share with you some reading experience in the intelligent era. I hope it will be helpful to you.

Reading experience in the intelligent era 1

The content of this book is relatively shallow, and it is basically the kind of story-telling and quick-viewing. The author's writing style, knowledge, and experience are very good, but this book does not reflect them.

The only highlight is that I didn’t know much about the specific relationship between big data and artificial intelligence before, so this book briefly explains it.

Machine intelligence traditionally refers to the ability of machines to think and solve problems like humans. However, since humans do not solve problems in the current scene, they do not learn to solve the problem in the current scene. In many cases, Other aspects of knowledge are applied to solve this problem, so in terms of migration capabilities, it is difficult for machines to learn "human" thinking. So how is big data connected with machine intelligence? Another method of developing machine intelligence completely abandons the path of "thinking like a human" and instead directly aims at the ultimate goal of "solving problems." For example, in translation, the previous idea was to let machines understand various grammars, but now there is no need for machines to understand grammars. Instead, machines can directly "learn" hundreds of thousands of phrases, using quantitative changes to achieve qualitative changes. In other words, as more and more terms are exposed, the accuracy of translation will continue to improve.

Reading experience in the intelligent era 2

The title comes from the preface of the book, written by Professor Li Shanyou, the founder of Chaos University, and is borrowed here.

Generally speaking, the main content of this book is to discuss theHow machine intelligence is developing, how it will affect every aspect of people's lives, and how to deal with it.

The changes that big data has brought to the world are profound. The most profound is the change in the way of thinking - from mechanical thinking of causality to correlational thinking of correlation. What has changed here is not just the means of solving problems - now we have the ability to analyze problems on the basis of the entire collection, and finally have the ability to accurately portray group profiles on the basis of the entire collection. What has also changed is the way of looking at the problem - we are no longer "Be careful with assumptions and boldly seek verification", but "reduce assumptions and let the data speak for itself". This transformation actually gives machine intelligence the basis to become a public facility - it is not necessary for everyone to understand how machine intelligence works. For users, they only need to understand that there is such a tool to find the appropriate information in the complete set of data. The conclusion is enough. Therefore, this will quickly cause a business revolution.

In fact, this revolution has already begun: books have listed traditional industries including bars and refrigerator manufacturers using big data to improve their business conditions. However, there are more industries that are exploring how to effectively integrate data and explore new models - firstly, the problem of data acquisition. Finding effective ways to obtain data may not be something that can be thought of at once; secondly, how to get from these Discovering value in data still requires a guiding direction; finally, how to use the rules of data discovery to design more reasonable patterns.

Another exciting part of the book is the last chapter - discussing the positive and negative impacts brought about by the intelligent revolution. I think the author actually asked this question: The intelligent revolution has greatly liberated productivity and greatly promoted production. Only fewer people are needed to feed the world, so what about the remaining people? The author discusses first, The conclusion drawn from the historical process of the second and third industrial revolutions is not optimistic - only through the action of time can the huge liberation of productivity brought about by the revolution be released. We are unfortunate to be in this historical process, and we are also very lucky to be in this historical process.

Therefore, the whole book can be said to be a popular science book. Reading the whole book can give you a better understanding of the most fashionable concepts at the moment - big data, machine intelligence, blockchain, etc., especially Big Data. But I think it is more like a propaganda and agitation book - because he describes two worlds, one is to participate in the process of revolution and keep up with the wheel of history, and the other is to resist revolution and be beaten by history. Abandonment - the difference between the two cannot be speculated. As for whether it is really so serious, this is a matter of opinion, but history tells us that it was like this at least the first three times. If you have doubts, it is best to pray that there will be something new under the sun.

There is no doubt that the revolution has taken place. Of course, you already knew this before reading this book. In fact, many people already know that in an environment where the whole society is discussing big data, it is difficult not to think about how big data will affect the world. BookThe purpose of the book is simply to let readers know how irresistible this process is.

Reading experience in the intelligent era 3

My thoughts after re-reading the chapter "Intelligent Era - The Inflection Point of Technology" by Dr. Wu Jun, as well as some of my own thoughts. Everyone seems to have such an intuitive and perceptual understanding. Artificial intelligence seems to have entered a rapid development stage since 2015 and 2016. Various artificial intelligence conceptual products have emerged one after another and are blooming everywhere. Entrepreneurs especially feel that it is special. We are excited and want to create revolutionary products and change the world. At this time, we are actually a little puzzled and confused as to why an artificial intelligence technology that has been developed for more than half a century can be used today at this time. Everyone is generally accepting and adopting it, and everyone is beginning to have the ability to build an artificial intelligence learning system, showing a breakthrough development trend. We must be thinking about what is happening behind this, yes!

These dozen or so In recent years, there is another technology that is very popular, and that is big data technology. Someone once described the relationship between big data technology and artificial intelligence technology, saying:

Artificial intelligence is like a baby with unlimited potential, and big data It is the milk powder that is fed to babies. The quantity and quality of milk powder determine the baby's intellectual development level.

So what breakthroughs have been made in big data technology over the past decade or so? Let’s look at them in four dimensions, as shown in the figure below:

Reading in the Intelligent Era Experience 4

1. There were four great inventions in ancient China. Why did the industrial revolution not break out and form the basis of modern civilized society? The reason goes back to Euclid's "Elements of Geometry" and Newton's "Natural Philosophy" The way of thinking formed by "Principles of Mathematics": the world can be recognized, can be represented by simple mathematics using certain laws, and there is a causal relationship. This way of thinking forms a system and penetrates into the natural sciences and social sciences. , have followed these laws to achieve scientific and social achievements, and have become the cornerstone of modern civilized society;

2. The world in the information age is uncertain and presents unpredictable rules. Big data has The large-scale, multi-dimensional and complete characteristics provide people with a new way of thinking, turning intelligent problems into data problems, using strong correlations to replace causal reasoning relationships, and the advantages of big data exhaustive examples replace the boldness of the past. Assume a mechanical way of thinking that requires careful verification;

3. The world is uncertain, and all problems lie in solving this uncertainty and turning uncertainty into certainty, such as the deterministic solution to oil extraction technology Modern energy problems have been solved, and the certainty of the laws of celestial motion has solved aerospace problems. In the current uncertainty of the Internet era, big data+ and information entropy need to be used to solve deterministic problems.

Reading experience 5 in the smart era

Reading notes time: 320 minutes, Samsung.

Data and information, by filtering useful numbersThe information is derived.

[From the perspective of the history of science and technology, analyze the role and development of big data; from the perspective of the intelligent revolution, compare the previous revolutions and analyze the industry changes that machine intelligence will bring and the impact on society. 】

Simple and accurate model and data-driven method. Geocentric, heliocentric model. Soviet and American space shuttles, German and Japanese optical lenses.

The amount of data and the representativeness of the sample. Literary Digest and Gallup's predictions of US Presidents Roosevelt and Landon, and Gallup's predictions of Dewey and Truman

The basic laws of physics are discovered through statistical methods.

[Probability theory, statistics, basic knowledge that must be learned. Recording your own time, recording work data, recording cash flow, etc. are all accumulating raw data, and then discovering patterns through the data to improve yourself and your work. 】

Bird Flying School: Machines must think like humans to gain intelligence. SYSTRAN.

Statistics + data. Google Translate, Jalinek and IBM’s speech recognition, machine learning

Big data: 3V, massive, diverse, and timely. The "foodie" of the Internet, Sver's 2012 election predictions, intelligent traffic management. big instead of large.

Intelligent problems are data problems. The chess game between Deep Blue and Kasparov automatically asked me why and how

[Recognizing the changes in thinking and the twists and turns in the history of artificial intelligence development, methodology is the most important]

< p> Machine thinking: Euclid, Ptolemy, Newton. Obtain the prototype of a mathematical model through observation, and then use data to refine the model. 1. The laws of world change are certain. 2. Based on the certainty, simple formulas or language can be used to describe the laws clearly. 3. The rules should be universally applicable.

Certainty (predictability) and causality

Industrial Revolution, Watt's steam engine. Einstein's theory of relativity, penicillin

Three formulas for mass-energy conversion, uncertainty principle of quantum mechanics, entropy

Uncertainty: 1. too many variables, 2. the objective world itself, Microcosm. Information theory

Entropy, information entropy: the measure of information is equal to the amount of uncertainty

Mutual information: strong correlation. U.S. lawsuits about smoking harming health, developing new drugs, and search company click models

Shannon's first law and Huffman coding (Gilder's law) use the short-mouthed coding method for the most common Chinese characters to make the average The length is infinitely close to its information entropy

Shannon's second law: the propagation speed of information cannot exceed the capacity of the channel.

[Uncertainty, strong correlation, information theory]

Use big data to analyze the electricity consumption of smart meters to grow cannabis. Use big data to analyze small merchantsTax evasion. Target uses big data analysis to recommend promotional information. Amazon’s big data recommends sales, and products are directly promoted when there are products. Netflix recommended videos. Google search keyword tips and related searches. Renovation of bar wine racks, collecting data and analyzing data. Prada RFID chip. Jinfeng Company collects data and transforms into a service provider. Exhaustive methods improve search quality. Google self-driving.

New technology + existing industry = new industry. Steam engines, textiles, transportation, ceramics. Electricity, elevators, transportation, communications. Computers, banks, securities dealers, agriculture.

Big data, machine intelligence. IT industry chain. After the industrial revolution, promotion is needed, and then the advertising industry, business chain, and service industry

GE's smart refrigerator.

[Judging from the history of industrial development, new technologies will inevitably bring about industry disruption. Embrace new data and revolutionize transformation with new technologies]

Technical challenges

Collection, storage, transmission, processing, and application.

Computer, sensor. Moore's Law. Parallel processing of big data

There is data but it cannot be shared, which is a problem of ratings. nest smart air conditioning controller, the information deliberately collected will be deformed.

The amount of data generated is greater than the amount that can be stored. Data security issues, integrity and loss prevention. Retrieve questions, access and call at will

Parallel computing and real-time processing. Data mining noise. Use big data to warn of abnormal operations. Privacy issues, insurance companies, unscrupulous businesses, and air tickets.

[Big data-related technologies are relatively mature,]

In Israeli smart agriculture, the Warriors use big data for training. In Industry 4.0, Tesla uses robots, genetic testing, and personalized medicine. Medical imaging detection, Da Vinci operating table, IBM Watson. Revolution in the pharmaceutical industry, cancer treatment, caliao. Lawyer case analysis, automatic writing of press releases,

[Lawyers, doctors, finance, and other industries that require high IQ can be replaced by machine intelligence, basic assembly production , Foxconn, etc., will have an impact on the entire society]

Intelligent revolution

People flow prediction, intelligent transportation, intelligent traffic lights, intelligent routes. Identification, anti-terrorism. Bitcoin, blockchain. Track every transaction. Personalized medicine. A society without privacy.

From agriculture to industry, from industry to electrical appliances, workers transformed from farmers to workers, and then to the service industry. What should unemployed people do when they work? British global colonization, American western development, and German World War I. New technologies benefit a very small number of people at the beginning, and most people are eliminated. It will take half a century and one or two generations to benefit the entire society, and it will take even longer to spread around the world. Universal retirement employee benefits, people at the bottom cannot find jobs.

Strive to be among the 2% of people, adopt new ways of thinking, and actively embrace big data and machinesmachine intelligence.

Reading experience in the intelligent era 6

The content of this book is relatively shallow, and it is basically a story-telling and quick-viewing type. The author's writing style, knowledge, and experience are very good, but this book does not reflect them.

The only highlight is that I didn’t know much about the specific relationship between big data and artificial intelligence before, so this book briefly explains it.

Machine intelligence traditionally refers to the ability of machines to think and solve problems like humans. However, since humans do not solve problems in the current scene, they do not learn to solve the problem in the current scene. In many cases, Other aspects of knowledge are applied to solve this problem, so in terms of migration capabilities, it is difficult for machines to learn "human" thinking. So how is big data connected with machine intelligence? Another way to develop machine intelligence completely abandons the path of "thinking like a human" and instead directly aims at the ultimate goal of "solving problems." For example, in translation, the previous idea was to let machines understand various grammars, but now there is no need for machines to understand grammars. Instead, machines can directly "learn" hundreds of thousands of phrases, using quantitative changes to achieve qualitative changes. In other words, as more and more terms are exposed, the accuracy of translation will continue to improve.

Reading experience in the intelligent era 7

Generally speaking, the main content of this book is to explore how machine intelligence based on big data develops and how it will affect all aspects of people’s lives. how to respond.

The changes that big data has brought to the world are profound. The most profound is the change in the way of thinking - from mechanical thinking of causality to correlational thinking of correlation. What has changed here is not just the means of solving problems - now we have the ability to analyze problems on the basis of the entire collection, and finally have the ability to accurately portray group profiles on the basis of the entire collection. What has also changed is the way of looking at the problem - we are no longer "Be careful with assumptions and boldly seek verification", but "reduce assumptions and let the data speak for itself". This transformation actually gives machine intelligence the basis to become a public facility - it is not necessary for everyone to understand how machine intelligence works. For users, they only need to understand that there is such a tool to find the appropriate information in the complete set of data. The conclusion is enough. Therefore, this will quickly cause a business revolution.

In fact, this revolution has already begun: books have listed traditional industries including bars and refrigerator manufacturers using big data to improve their business conditions. However, there are more industries that are exploring how to effectively integrate data and explore new models - firstly, the problem of data acquisition. Finding effective ways to obtain data may not be something that can be thought of at once; secondly, how to get from these Discovering value in data still requires a guiding direction; finally, how to use the rules of data discovery to design more reasonable patterns.

Another exciting part of the book is the last chapter - discussing the positive and negative impacts brought about by the intelligent revolution. I think the author actually asked this question: WisdomThe energy revolution has greatly liberated productivity and greatly promoted production. Only fewer people are needed to feed the whole world. So what will happen to the remaining people? The author came to this by discussing the historical process of the first, second and third industrial revolutions. The conclusion is not optimistic - only through the action of time can the huge productivity liberation brought about by the revolution be released. We are unfortunate to be in this historical process, and we are also very lucky to be in this historical process.

Therefore, the whole book can be said to be a popular science book. Reading the whole book can give you a better understanding of the most fashionable concepts at the moment - big data, machine intelligence, blockchain, etc., especially Big Data. But I think it is more like a propaganda and agitation book - because he describes two worlds, one is to participate in the process of revolution and keep up with the wheel of history, and the other is to resist revolution and be beaten by history. Abandonment - the difference between the two cannot be speculated. As for whether it is really so serious, this is a matter of opinion, but history tells us that it was like this at least the first three times. If you have doubts, it is best to pray that there will be something new under the sun.

There is no doubt that the revolution has taken place. Of course, you already knew this before reading this book. In fact, many people already know that in an environment where the whole society is discussing big data, it is difficult not to think about how big data will affect the world. The utility of this book is simply to show readers how irresistible this process can be.

Reading experience in the intelligent era 8

Artificial intelligence is an area that is expected to develop greatly in the next 10 years, and it is also our professional vision in the data industry. After reading my book, I am more convinced that this is a promising and interesting direction. The following is some understanding and summary of data analysis and application that I gained while reading this book.

Basic ideas

Classic ideas: Currently, when doing data analysis, the traditional logical reasoning analysis method is used. Ask questions first and then verify them through rigorous logical reasoning to explain business issues.

New idea: Try to use correlation for data mining analysis; it is some data mining techniques, such as clustering, decision tree, random forest and other advanced statistical models. Things created with this kind of thinking generally have a high technical threshold and solve problems that cannot be answered by classic thinking. They are also in line with the current popular big data thinking and artificial intelligence thinking. The new approach to problem-solving logic is to first conduct correlation analysis to find out the correlation factors causing the problem, and then explain the business logic behind it.

Scope of application

Classic idea: in line with the thinking mode of the human brain, from the logical sequence of A—>B—>C. High efficiency when solving small but beautiful independent cases. For example, for questions such as "Why did the conversion rate of a certain page suddenly increase today?", through logical reasoning and drilling down step by step, the reason can be quickly located.

Smart timeReading Experience 9

As students in the new era, we now not only have to compete with our peers. You also have to compete with some robots wearing iron skins. Maybe you find it ridiculous, but this is the trend of social development.

On various platforms, you can more or less watch variety shows in which robots compete with humans. After robots defeated humans in Go, they began to learn to write poetry again! You said, how can we not frighten students in the new era? Hawking once said: "The rise of powerful artificial intelligence may be the best in human history." Either way, it's the worst."

Nowadays, every industry is replaced by robots. In developed inland areas, robots have taken over various industries, including small-scale enterprises such as banks. And they are rapidly spreading across the country. In the future, humans may not be needed for farming. So what kind of work can humans do? In this new era, the employment problem puts a lot of pressure. How many people will be unemployed in the banking industry alone? The development of smart technology should also make us think about the pros and cons.

According to the current situation, technology continues to develop. It is not impossible for robots to rule the earth. When all jobs are replaced by robots, what can humans do? What about the value of human survival?

In such fierce competition, only hard work can lead to excellence.

10 Reading Experiences in the Intelligent Era

We live in an era of very advanced technology, and various artificial intelligence products appear in our lives, such as our parents’ smartphones and our schools. The smart temperature measurement booth at the door, the face recognition system at the entrance and exit of each community, the smart sweeping robot in my home, the automatic checkout system in the supermarket...etc., these smart products have brought a lot of convenience to our lives.

On the road of science and technology, smart humans are still creating. In the future, there may be smart robots, smart homes, and smart cars... I am especially looking forward to riding in a smart car and experiencing the infinite world. A different feeling when driving. The car at that time could accurately follow my instructions, stop in front of me on time, take me to my destination safely, and then automatically identify the parking space and park it. Wow, I think it’s so cool just thinking about it!

I checked a lot of information about smart cars on the Internet and learned that driverless driving is the development direction of future cars and is also a very complex high-tech project. Technology, it relies on artificial intelligence, visual computing, radar, surveillance devices, global positioning system cooperation, etc. To put it simply, it is to equip the car with a smart brain, sharp eyes, and flexible hands and feet, so that it can become a "car man", achieve safer and smarter driving, and better serve mankind.

As a future successor, I must learn knowledge well and contribute to the future of high technology.

3. Recently, “blockchain” has becomeWhy is "blockchain" so popular? When it comes to blockchain, we have to mention Bitcoin, and when it comes to Bitcoin, we have to mention its mysterious founder-Nakamoto Cong.

It is no exaggeration to say that the blockchain was invented and created by Satoshi Nakamoto, but Satoshi Nakamoto’s original purpose was not to make the blockchain The popularity of blockchain, but he hopes that the decentralized virtual currency he founded, Bitcoin, can develop. Therefore, Satoshi Nakamoto may have expected the popularity of Bitcoin, but the popularity of blockchain may have exceeded Nakamoto’s expectations. Cong's surprise.

Therefore, blockchain will affect all aspects of society in the future, and many industries or our current lifestyle may be subverted as a result.

4. Is it true that Hawking owns Bitcoin?

It is rumored on the Internet that there are 20,000 Bitcoins in Hawking’s inheritance, and it is rumored that his lawyer is preparing to sell them
It is rumored on the Internet that Hawking’s inheritance There are 20,000 Bitcoins in it, and its lawyer is preparing to sell them. According to the screenshot, the source is "Coin World". However, Tan Chenhui, the founder of Coin World, denied the matter, saying that Coin World did not release relevant information and that someone took advantage of the incident. Hype. To this. Jia Ming, editor-in-chief of Ear Finance, believes that the blockchain industry is still in the early stages of rapid development. No matter individuals, media, or institutions, they should not spread false information wantonly for the sake of traffic. Blockchain media must also stick to the bottom line and report facts and truth. Valuable news.