The Rise of Artificial Intelligence in Graphic Novels

The rise of Generative Artificial Intelligence was a gradual process. In the early stages, in 1957, Hiller and Isaac created the first music composition created by a computer by converting the control variables in a computer program into musical notes. This was an early exploration. After the 1990s, artificial intelligence generated content (AIGC) evolved from experimental to practical. In 2007, the artificial intelligence system installed at New York University created the first novel completely written by artificial intelligence. Since 2014, AIGC had entered a new era with the development of deep learning algorithms, especially the Generative Adversant Network (GAN). The release of iconic results such as DALL-E and ChatGPM showed that AIGC had made significant breakthroughs in content generation. In terms of technical principles, it uses machine learning technology to generate new data based on large-scale multi-mode data sets, including text, images, videos, sounds, etc., so it has the ability to handle a variety of tasks and scenarios. In terms of applications, it would take the lead in media, e-commerce, film and television, entertainment and other industries with high digital levels and rich content requirements. On December 26, 2023, Generative Artificial Intelligence was selected as one of the top ten scientific and technological terms of 2023. On July 3, 2024, a report showed that China's number of A1 patent applications from 2014 to 2023 was the highest in the world. These all reflected its increasing importance. On May 24, 2024, the Ministry of Human Resources and social protection announced that the application of the generative artificial intelligence system was a new profession, which also reflected the development of the field to promote the emergence and recognition of related professions.

#The Rise and Development of Generative Artificial Intelligence ** abstract: ** This thesis aims to explore the rise of Generative Artificial Intelligence, its current development, problems faced, and future development trends. Generative artificial intelligence had risen rapidly in recent years and had a profound impact on many fields, but it also brought a series of challenges and opportunities. ##I. Introduction With the continuous development of information technology, many breakthroughs had been made in the field of artificial intelligence. Among them, regenerative artificial intelligence had become the focus of attention. Its emergence not only changed the way people interacted with computers, but also triggered widespread changes in various industries and society. ##2. The Rise of Generative Artificial Intelligence 1. ** Basic Skills ** - Generative artificial intelligence was based on deep learning algorithms, especially deep neural network technology. These networks had many hidden layers that could learn and extract features from large amounts of data. For example, the emergence of the Transformer architecture provided powerful technical support for the generation of artificial intelligence in the field of natural language processing, enabling models to better process long sequence data. For example, the GPM series of models were built based on the Transformer architecture. - The accumulation of big data was also an important foundation for the rise of artificial intelligence. With the popularity of the Internet, a large amount of text, images, audio, and other data were collected and stored, providing rich materials for model training. 2. ** Early development stage ** - The early generation of artificial intelligence models were relatively simple and limited. For example, a simple text generation model could only generate some basic sentences, and there were many problems in the accuracy of grammar and semantics. However, as the technology continued to evolve, the complexity and ability of the model gradually increased. - Research institutions and technology companies began to increase their investment in the research and development of generative artificial intelligence. Some open source projects also provided assistance to its development, attracting many developers around the world to participate. ##3. Current Development 1. ** Skills ** - In terms of natural language processing, the AI could already generate high-quality texts, including essay writing and dialogue answers. For example, ChatGPM can generate coherent and logical articles based on user prompts, covering a variety of topics, such as technology, culture, history, and so on. - In the field of image generation, models could generate realistic images based on user descriptions. For example, the DALL-E series model could transform the user's input text description into the corresponding image, whether it was a landscape, a character, or an abstract concept image. - In terms of code generation, some generative artificial intelligence tools could assist programmers in writing code and improve programming efficiency. 2. ** Field of application ** - ** content creation **: It is widely used in news reporting, literary creation, and other fields. In news reports, it could quickly generate the first draft of the news and reduce the workload of the reporters. In literary creation, it could provide inspiration for the creators or assist in the creation of some plot content. - ** Business field **: Used for market research, advertising creative generation, etc. The company could use artificial intelligence to analyze market data and generate targeted advertising texts to improve marketing effectiveness. - ** Education **: Can be used as a teaching aid to provide students with learning materials and answer questions. But it also sparked discussions about academic integrity, such as students using artificial intelligence tools to cheat. ##4. Problems 1. ** Data security risk ** - The training of a generative artificial intelligence required a large amount of data, and the source and use of this data could involve privacy issues. For example, when collecting user data for training, if the user's full authorization was not obtained, user privacy could be compromised. - The quality of the data would also affect the safety of the model. If the training data was maliciously tampered with or contained harmful information, it could cause the model to produce incorrect output. 2. ** Public opinion security risk ** - Generative artificial intelligence could be used to create false information and influence the direction of public opinion. For example, malicious agents could use the model to generate fake news that seemed real and mislead the public, thus negatively affecting social stability and democratic elections. 3. ** Problems of accuracy and bias ** - The model may produce illusions, which are the misstatements that the generative artificial intelligence model may make. This reduced its usefulness because the user could not fully trust the model's output. - When a model is trained on biased data, bias can spread. For example, some image-generating models might show preferences for people of a certain race, which was a serious problem in terms of social fairness. 4. ** Technology competition and governance challenges ** - On the international level, there was technological competition between big countries. China, the United States, and other countries competed in technology, regulation, and international voice in the field of artificial intelligence. This competition affected the global data security and network security landscape, and also made international cooperation face challenges. - There were differences in governance strategies. Different countries and regions had different governance concepts and values, making it difficult to reach a unified standard in artificial intelligence governance. At the same time, technological monopoly also posed a challenge to sovereign countries. Some countries or companies with advanced technology might use their technological advantages to obtain improper benefits. ##5. Future Development 1. ** Multi-mode function improvement ** - In the next few years, AI models will be able to provide images and videos from short text clips more easily, and the technologies for text to image, text to video, and Text To Speech will be improved. Models will achieve better context understanding in diverse input. This would further expand its application in the fields of multi-media content creation and intelligent interaction. 2. ** Solve accuracy and bias issues ** - Model developers needed to focus on how to eliminate the bias and ethical issues that AI created during consumer data training. Guide users to accept more universal and lasting values, and guide the model to become more "kind", thereby increasing the reliability and social acceptance of the model. 3. ** Increase the size of the context window for processing information ** - Increasing the context window for the model to process information would allow the AI model to handle more complex tasks and improve the cohesiveness of its responses. This helped to improve the model's performance in scenarios such as long document processing and complex conversations. ##6. The conclusion The rise and development of Generative Artificial Intelligence was an unstoppable trend. It brought great potential and opportunities to human society, such as improving production efficiency and promoting innovation. However, we must also be aware of the many problems it brings, including data security, public opinion security, accuracy, and bias. The international community needed to strengthen cooperation. While competing, countries should also jointly explore effective governance strategies to ensure the healthy and sustainable development of artificial intelligence for the benefit of human society. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!

There were novels similar to Little Pigsy: The Rise of Artificial Intelligence: 1:" Writing a Diary in Entertainment, Becoming a Top Student?" Author: Sky Light 2: Fairy, Your Character Set Has Been Changed by Me, Author: Old Man Dong 3." Longevity Begins from the Forbidden Technique." Author: Super Little Erha The following is a detailed introduction of these novels: 1:" Writing a Diary in Entertainment, Becoming a Top Student?" "Did I transmigrate? 2015 again! You must be joking!" "I graduated from a film school!" " I want to record too. There's actually a reward for recording?" "I'm rich!" He did it four times in one go. Her beautiful eyes widened. What was going on? What a joke! 2:" Fairy, I've changed your character setting ":" Fairy, I've changed your character setting." "It's true.“ 3." Longevity begins with the extraction of forbidden techniques ": Reincarnated into a high-level martial arts world, Chen Xuan activates the forbidden technique system and obtains exemption from the price of the forbidden technique. Faced with the cruel situation, he had to extract forbidden techniques and open the path of crushing forbidden techniques! Permanently forbidden technique, Ten Times Longevity Burning Saber Technique. The power of each slash was multiplied by ten times. The ultimate move was a normal attack! One-time use forbidden technique, Eight Gates, Ye Kai. Who could block this kick of Ye Kai! As he smoked, Chen Xuan realized that there was no one else who could stand shoulder to shoulder with him. He was the only one in the world!

In many graphic novels, AI is the catalyst for change. It might be the discovery of a new AI technology that sets off a race among different groups. This could be a race for power, knowledge, or to prevent the misuse of the AI. The resulting plot is full of twists and turns as characters strive to achieve their goals in relation to the AI.

Artificial intelligence (AI) is a broad term used to describe applications that perform complex tasks that used to require human input. It includes subfields such as machine learning and deep learning. Machine learning focuses on building systems that can learn or improve performance based on the data they use. The goal of artificial intelligence is to create a self-learning system that can solve problems like humans. Artificial intelligence could be applied to various fields, such as online communication with customers, chess, image recognition, and so on. It also streamlines business processes, improves the customer experience, and speeds up innovation. The development of artificial intelligence had gone through many stages, from general-purpose computing devices to logical reasoning expert systems, to deep learning computing systems and large model computing systems. The current level of artificial intelligence is called narrow artificial intelligence (ANI). It performs well on specific tasks, but it cannot learn new skills or understand the world in depth. Super Artificial Intelligence (ASI) was a postulated future state with intelligence surpassing human intelligence. At present, artificial intelligence surpassed humans in some tasks, but still lagged behind in other tasks. The industry played a leading role in the cutting-edge research of artificial intelligence, and the cost of training cutting-edge models was getting higher and higher. In the future, the development of artificial intelligence might bring more breakthroughs and applications.

There were currently artificial intelligence for writing novels, such as the results of Wang Feng, the dean of the School of Communication at East China Normal University, and his team. When they wrote the novel, they used the trinity of "domestic language model + meticulously designed prompt word project + fine artificial post-editing". Taking the million-word novel "The Apostle of Destiny" as an example, the team first studied the structure of the online novel, analyzed the plot structure, and wrote a large number of prompt words to build a system of prompt words for fantasy novels. Then, they used the large model API to generate content in batches to form a coherent novel. Finally, they manually modified it, deleted the redundant parts, and wrote connecting sentences for the plot jump parts. In this process, artificial intelligence accounted for 70% of the creation, while human writers accounted for 30%. In addition, there was also the "Lingka Lingka" creative writing agent (CWa). The creation process was to first choose a label and genre, then enter a paragraph of text (or not) to enter the basic setting stage, including the plot power and the main character setting, then generate the chapter outline, and finally generate the complete text. Every step could be manually intervened. The number of chapters is set to 100, with each chapter having 2000 - 3000 words. The user can generate a novel of 200,000 to 300,000 words. If you want to generate a shorter novel, you can delete part of the chapter outline before the final step. If there were no modifications or interference, it would take about 80 minutes to generate a novel of 200,000 to 300,000 words. However, in reality, users often needed to modify it many times, such as adjusting the story background, plot settings, and even filtering after generation. It might take 4 - 5 hours to finally complete a novel. Students, literature lovers, scholars, etc. participated in the testing of the generated novels, and the proportion of human intervention was less than 10%.

A few novels to recommend: Fang Wei, a historical novel written by Qing Mo Nongyu, Qin and Han Dynasty. The protagonist Cao Fangchao was domineering and said,"As long as I'm here, there won't be three horses in the same boat." There was also a character called "Ultimate Imperial System" who was very arrogant and felt that everyone in the world should serve him. The novel had a group number 1073023738. "Artificial Intelligence of Rebirth" was an urban novel written by Wandering Booksword. It was about a reborn person who brought artificial intelligence to cause trouble in the city, from a university student to an e-sports king, from a private detective solving problems to a weak team dominating the Champions League. The author commented that it was a slight innovation, paying tribute to "suspect tracking". "Gang Zong: Captured by Brother Kun for Filming" was a heavenly novel written by Taiji. The male protagonist, Du Sheng, was captured by Jing Kun to shoot an action movie. He could even take skills from the character. It was super cool. The supporting characters such as Jing Kun were also very interesting. "Intelligence Frenzy", a science fiction novel written by the pajama boy. The main character Zhao Fan's robot army was so powerful that even the universe forces were afraid of it. Soft sci-fi had a lot of imaginative plots, but the ending was a little bad. 474718882. 'Northland Livestream Room', a sweet but not sweet urban novel. The protagonists returned to the countryside to broadcast the revival of the village. There were no golden fingers, but their writing was good and their emotions were sincere.

I recommend " Artificial Intelligence of Rebirth ". The author's book, the sword, is drifting away. It's about urban life. What was behind an ordinary college student becoming the king of e-sports, a small firm solving the world's problems, and so on? The protagonist who was reborn from the 22nd century had artificial intelligence, which was the key to fighting against super artificial intelligence. The author's self-evaluation of micro-innovation pays tribute to "suspect tracking". " Intelligence Frenzy ", a sci-fi interstellar civilization novel written by the pajamas young man. The protagonist developed the strongest learning AI, and the robot army spread in the universe. All the forces were dumbfounded. The main character had no ambition, but the ending was a bit bad. There were many female protagonists and different types of characters in the book, and the cheat was not bad. " Masked Rider's Celebration Can Make You Stronger " was a light novel by Chu Ge in Cold Clothes. There were many characters in the story of the fake transmigrator and the girl who wanted to become the demon king, such as Makeshi Tsuneiwa, Woz, and so on. They were very well-written masked doujinshi. Fang Wei was a historical novel written by Qing Mo Nongyu. The main character Cao Fang expressed that with him around, there would be no such thing as three horses in the same groove. There was also the main character's ultimate imperial system. The story was quite interesting. " Gang Zong: Captured by Brother Kun for Filming " was a novel written by Tai Chi. The male protagonist, Du Sheng, was captured by Jing Kun to film. He could learn skills from the character and had many interesting character settings. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>

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" Artificial intelligence " in English was " artificial intelligence ", which could be simply referred to as " AI ". If it was referring to " artificial intelligence generated content," it would be " Artificial Intelligence Generated Content," or " AIGC " for short. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!