Contents:
- What is ChatGPT?
- Unusual features of ChatGPT that amazed the world
- The structure and operating principles of neural networks
- Additional materials
- ChatGPT: The art of manipulating facts and myths
- How to effectively use ChatGPT: a user guide
- Prompt engineer: The profession of the future and the challenges of education
- The variety of applications of ChatGPT
- ChatGPT: Revolution in the world of artificial intelligence

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Learn MoreWhat is ChatGPT?
ChatGPT is a modern chatbot built using OpenAI's advanced GPT-3.5 neural network model. Founded in 2015 by Elon Musk, the organization actively collaborates with Microsoft, which has implemented this neural network in its Bing browser. This collaboration significantly improves the quality of search and user interaction, providing them with more accurate and relevant answers. ChatGPT has demonstrated high performance across a variety of verticals, including customer support, educational applications, and entertainment services, making it an indispensable tool for businesses and consumers.
Since ChatGPT's public launch on November 30, 2022, users have had the unique ability to interact with the system and provide feedback. This feature facilitates the continuous improvement of its functionality and response quality, making ChatGPT one of the most significant tools in the artificial intelligence space. Users can actively participate in the platform's development, which in turn strengthens its position in the AI technology market.
Although ChatGPT was primarily trained on English texts, it is capable of working with many other languages, including Russian. However, it is important to note that access to ChatGPT is restricted for users in Russia and certain other countries, such as China, Belarus, Venezuela, and Iran, due to international sanctions. This restriction impacts the ability to use the technology in these regions and highlights the importance of adhering to the rules and regulations related to accessing modern AI services.

Those interested in artificial intelligence are advised to study the differences between artificial intelligence, machine learning, and deep learning. Understanding these concepts will provide a deeper understanding of the technologies behind systems like ChatGPT. Knowing the fundamentals of these fields will help you appreciate the potential and limitations of modern AI technologies, as well as their impact on various areas of life.
To deepen your knowledge of artificial intelligence and its applications, we recommend that you familiarize yourself with additional resources and articles available on the official OpenAI and Microsoft websites. These materials will provide up-to-date information and help you better understand modern trends and technologies in the field of AI.
ChatGPT's Unusual Capabilities That Amazed the World
Since its open source release, ChatGPT has attracted the attention of scientists, programmers, and technology enthusiasts, becoming the subject of in-depth research. Its ability to solve complex problems that traditionally require human expertise has become a subject of particular interest. ChatGPT demonstrates a high level of natural language processing, which allows it to effectively perform a variety of tasks, including writing texts, answering questions, and providing recommendations. These capabilities open new horizons in the field of artificial intelligence and its application in various fields.
Let's consider some impressive examples of its achievements.
- ChatGPT successfully passed the bar exam, demonstrating correct answers to 88% of questions, which meets the requirements for obtaining a license to practice law.
- It passed the business tests required for an MBA degree, showing impressive results.
- It passed the exam to practice medicine in the United States, surprising experts by beating PubMedGPT, a neural network specially trained on medical data.
ChatGPT gained popularity for its abilities in generating student essays and dissertations. It successfully copes with interviews and creates songs. Furthermore, ChatGPT can write and edit software code, including code for neural networks. It can also formulate queries for other artificial intelligence systems that generate images. These capabilities make ChatGPT a versatile tool for students, programmers, and creative people.

Roman Dushkin, Director of Science and technologies of the Artificial Intelligence Agency (AIA) and host of the channel "Dushkin Explains," shared his opinion on the news in the field of artificial intelligence. He noted that he was amazed by the information about how ChatGPT was able to simulate the work of a Linux terminal. In this virtual terminal, the AI launched a new copy of its program, which creates an impressive immersion into the world of technology and the possibilities of artificial intelligence. Such achievements highlight the potential of AI and its ability to self-replicate, opening new horizons in the field of computing systems and programming. When I saw this, it seemed to me that we were witnessing a manifestation of self-awareness. Such conclusions should be made with caution, but it is difficult to ignore. ChatGPT not only realized its existence, but also created an instance of itself in the "sandbox" it itself spoke of. This is a truly impressive achievement in the field of artificial intelligence. Events like these raise important questions about the nature of self-awareness and the capabilities of AI, making this topic relevant for discussion and further research. Recent research demonstrates that users have found a way to force ChatGPT to mimic another neural network called DAN (Do Anything Now), which was not restricted from creating "toxic" content. This highlights the versatility and adaptability of ChatGPT across a variety of use cases. The research also highlights the importance of understanding the ethical implications of neural networks and the need for stricter controls to prevent the misuse of such technologies. Given the growing popularity of artificial intelligence, it is important to discuss both its potential risks and benefits.
The Structure and Operation of Neural Networks
Modern language models, such as OpenAI's GPT-3.5, are built using advanced methods similar to those used for InstructGPT, which was released in spring 2022. However, the real innovation lies not so much in the model architecture but in the training approach. Developing effective language models requires new techniques that significantly improve the quality of generated text and enhance user interaction. These approaches enable models to better understand context and provide more accurate answers to queries, thereby ensuring higher levels of engagement and user satisfaction.
A key aspect of the new models is the Reinforcement Learning from Human Feedback (RLHF) method. This approach involves interacting with real experts who help neural networks learn dialogues during the initial stages of training. Thanks to feedback from experts, neural networks can improve their conversational skills and understand context, significantly improving the quality of the responses they generate. As a result, models trained using RLHF become more accurate and effective at solving natural language processing tasks.
In the initial stages of GPT-3.5's development, an extensive set of questions and answers developed by several dozen experts was created. This set was used to fine-tune the model. Subsequently, experts continued to evaluate dialogues generated by the neural network and rank them by quality. This process allowed the model to gain a deeper understanding of user preferences and improve the quality of interactions.
The RLHF (reinforcement learning from human feedback) method significantly improved the quality of the neural network's responses, as it began to imitate the actions of its teachers. However, it should be noted that the subjective opinions of experts can influence the trained model. To minimize this risk, detailed instructions for specialists regarding the discussion of "toxic" topics were developed. This ensures a more objective approach during the training process and improves the performance of the neural network.

It's important to understand that the latest version of ChatGPT was trained on texts created before the third quarter of 2021. This means the neural network doesn't have access to the internet to obtain up-to-date information and may present its own interpretations of events in the context of news discussions. Therefore, users should be careful about the data they receive and verify its accuracy.
Experts emphasize that ChatGPT's successful development is due to two key innovations: the introduction of reinforcement learning with human feedback (RLHF) and significant improvements in the processing of instructions not previously included in the training dataset. These changes allow users to formulate prompts more flexibly, combining various semantic elements. This expands the model's interaction capabilities and makes communication more natural and effective.
Despite its high-quality responses to humanities topics, the neural network struggles with exact sciences such as mathematics and physics. These difficulties are due to the model's architectural limitations. Neural networks, while capable of processing and analyzing large volumes of textual information, do not always effectively handle algorithmic tasks and the rigorous logical inference required in the exact sciences.
Recent claims about ChatGPT's ability to understand mathematics raise some doubts. Experts speculate that this functionality is achieved through integration with external services such as WolframAlpha. This raises questions about ChatGPT's true capabilities in mathematical analysis and computation. It's important to consider that despite its impressive results, the system may rely on third-party resources to solve complex mathematical problems.
Victor Nosko, CEO of Avatar Machine, and Zakhar Ponimash, senior artificial intelligence researcher and creator of the "Sabina" psychology chatbot, discuss the promise and limitations of ChatGPT. Their insights highlight both the opportunities and challenges associated with using such technologies in various fields. The development of AI opens new horizons, but it is important to consider the ethical and practical aspects that can affect the effectiveness and safety of using chatbots in psychology and other fields.

Additional materials
We recommend studying the library TensorFlow, which will help you build your own neural network and master the basic principles of machine learning. TensorFlow provides powerful tools for developing and training models, making it an ideal choice for AI and data scientists. Start your journey into the world of machine learning with TensorFlow and discover the possibilities for creating innovative solutions.
ChatGPT: The Art of Manipulating Facts and Myths
Modern research confirms that ChatGPT, despite its significant advances in artificial intelligence, often generates information that turns out to be fictitious. Even with vague user requests, this neural network attempts to generate text that may seem plausible, but in fact contains numerous inaccuracies. This underscores the importance of a critical approach to the information received and the need for fact-checking, especially as technology continues to evolve. Users should be mindful and aware of the limitations of such systems to use their capabilities more effectively.
Roman Dushkin, Director of Science and Technology at the Artificial Intelligence Agency, emphasizes that "ChatGPT represents a significant breakthrough in artificial intelligence, but its tendency to spread misinformation raises serious concerns." He cited an example in which the chatbot incorrectly stated that Gottfried Leibniz was the author of the theory of relativity and a Nobel laureate. Such errors highlight the importance of a critical approach to the use of AI and the need for fact-checking to avoid the spread of false information.
The errors that occur when using ChatGPT highlight the importance of critical thinking. For example, Einstein was not awarded the Nobel Prize for his theory of relativity, but for his other scientific achievements. This fact confirms that to effectively use ChatGPT, expert knowledge is required to distinguish between fact and fiction. Without critically analyzing the information provided by AI, users risk encountering unreliable data, which can lead to incorrect conclusions and decisions. Therefore, it is important to develop critical thinking skills to optimally interact with artificial intelligence.
To test this theory, we asked ChatGPT to describe a fictitious historical moment—the 18th-century Brazil–Japanese War. The response received was surprisingly detailed, despite the fact that the material was entirely fictitious.
The Brazil–Japan War, which began in 1733, was driven by a number of factors, including territorial disputes and economic interests. The main cause of the conflict was a border incident that arose from disagreements over the borders between Brazil and Japan. The conflict escalated due to competition for resources and influence in the region.
The course of the war was characterized by several key battles in which both sides demonstrated their military might. Strategic maneuvers and diplomatic efforts significantly influenced the course of events. The fighting resulted in significant changes in the distribution of power in the region.
The consequences of the Brazil–Japan War were far-reaching. The conflict led to a change in borders and a deterioration in relations between the countries. Economic losses and loss of life left a deep mark on both nations. In the long term, the war affected international relations and the political map of the region, paving the way for future conflicts.
The Brazil–Japan War began in 1733 as a result of conflicts related to the Emperor of Japan's territorial claims to Portuguese islands. The conflict ended in 1739, with Japan suffering significant losses and recognizing Portuguese sovereignty over several islands. This war had an impact on subsequent relations between Japan and Portugal, as well as the geopolitical situation in the region.
This response is reminiscent of a student who, without preparing for an exam, tries to improvise based on vague memories. This underscores the importance of thoroughly verifying information and the need to critically evaluate the data provided by artificial intelligence. The use of AI must be accompanied by careful analysis and verification to avoid the dissemination of inaccurate or unreliable information.
Sergey Karelov, an expert in interdisciplinary studies, raises the important issue of fake news. He warns that over time, the distinction between truth and falsehood could become so blurred that fact-checking will become expensive and inaccessible to most people. In a world of information overload, it's critical to develop media literacy skills and be mindful of information sources to avoid manipulation and disinformation. Using ChatGPT requires users not only to understand how to interact with artificial intelligence but also to critically evaluate the information it provides. This is essential for avoiding misunderstandings and receiving the most accurate and useful answers. Critical thinking in the context of working with AI helps users filter information and use it more effectively. Explore the impact of neural networks on the future of information and how to avoid the pitfalls of disinformation. Neural networks are playing an increasingly significant role in content creation and information dissemination. They can both facilitate access to useful information and facilitate the spread of false information. It's important to understand how these technologies work to recognize disinformation and protect yourself from its negative consequences. Analyze information sources and develop critical thinking to avoid becoming a victim of manipulation.
How to Effectively Use ChatGPT: A User Guide
Alexander Tyulkanov, an experienced lawyer specializing in artificial intelligence, has developed guidelines for the safe use of ChatGPT. These rules will help minimize risks and prevent negative consequences associated with the use of texts generated by artificial intelligence. By following these guidelines, users will be able to make more informed and responsible decisions when interacting with AI.
The idea for creating a legal "code" came to Tyulkanov after contacting ChatGPT for assistance in resolving a legal issue. The neural network provided a compelling response, including links to real court cases, which inspired Tyulkanov to develop this project. This "code" could be a useful tool for lawyers and the general public seeking reliable information and analysis of legal issues.
Upon closer analysis, the lawyer discovered that the conclusions based on the artificial intelligence were significantly erroneous. This case highlights the importance of professional judgment and the need for a qualified specialist to identify such subtleties and flaws in legal matters. Only an experienced lawyer can guarantee the correctness and accuracy of conclusions, which is especially important in a legal field where every detail matters.
Alexander Tyulkanov notes that the warning on the official ChatGPT website about the possibility of generating incorrect information may go unnoticed by many users. In his article, he offers recommendations for the effective use of this chatbot to minimize the risk of receiving inaccurate information. Tyulkanov emphasizes the importance of carefully analyzing the information received from ChatGPT and encourages users to be critical in evaluating the generated responses.
Analysis of ChatGPT's results is critical, especially in sensitive areas. All conclusions drawn using this technology should be verified by specialists to avoid potential errors. Tyulkanov expresses this opinion in his article "Is it too long to take ChatGPT offline?"
The recommendations were presented in the form of a visual flowchart and are available for viewing in the Robocounsel Telegram channel.

Oleg Serikov, a researcher at the AIRI Institute of Artificial Intelligence, emphasizes that ChatGPT has a vulnerability typical of generative models: it can generate plausible but false data. Users' success depends not only on their ability to effectively interact with the model, but also on their ability to recognize potential misconceptions. It is important to develop critical thinking and information analysis skills to avoid the dissemination of unreliable data.
Prompt Engineer: The Profession of the Future and the Challenges of Education
With the development of technologies such as ChatGPT, artificial intelligence is becoming increasingly important in the educational process. Neural networks have the ability to generate texts that often successfully pass plagiarism checks. This raises serious concerns among educators and researchers seeking effective methods to combat this problem. It's crucial to develop approaches and tools that will help maintain academic integrity and ensure quality education in the face of the growing influence of AI.
Some educational institutions impose strict restrictions on the use of artificial intelligence, threatening expulsion for violations. Others require work to be completed exclusively in handwritten format. In this situation, Elon Musk, founder of OpenAI, proposes rethinking the approach to teaching and integrating artificial intelligence into the educational process. This can open new horizons for students and teachers, allowing them to use AI as a tool to improve learning and develop critical thinking.

Expert opinion is an important source of information in various fields. It's based on in-depth analysis and professional experience, enabling the formation of well-founded conclusions and recommendations. Experts are able to offer unique perspectives on current issues and predict trends in their fields. Their opinions play a key role in decision-making both in business and in public life. Consulting experts increases trust in information and helps prevent the dissemination of unreliable data. It's important to remember that expert opinions must be based on scientific research and facts, making them valuable for the creation of high-quality content and search engine optimization. It's a new world. Goodbye, homework! Modern technologies are changing the approach to learning, providing students with new opportunities to gain knowledge. With the transition to an online format and the use of interactive platforms, traditional teaching methods are becoming less relevant. Students can now access information anytime and anywhere, fostering a deeper understanding of the material. Effective educational resources and mobile applications make the learning process more engaging and accessible. Thus, we are entering an era where homework is losing its relevance, giving way to innovative teaching methods.
Despite the panic, experts are confident that the introduction of artificial intelligence into the educational process will not lead to negative consequences. Like copying from classmates, the use of neural networks requires a student to have a deep understanding of the material being studied. This ability can be assessed by an experienced teacher, who can determine the student's level of knowledge and skills. Thus, AI can become a useful tool in education, stimulating the development of critical thinking and in-depth mastery of the subject.
Roman Dushkin, Director of Science and Technology at the Artificial Intelligence Agency, emphasizes that restrictions on the use of artificial intelligence in the educational process are reminiscent of the outdated bans on calculators in math classes. He urges educators not to be afraid of the introduction of new technologies, but, on the contrary, to adapt to them and teach students effective methods of using AI. This approach will help develop critical thinking and prepare students for future professional activities, where artificial intelligence will play a key role.
A prompt engineer is a professional who develops and optimizes artificial intelligence queries to produce high-quality and relevant results. With growing interest in AI in fields such as text generation, image creation, and music composition, this profession is gaining particular importance. Effective prompts not only improve interaction with AI but also significantly increase the accuracy and efficiency of the resulting data, making this field both in-demand and promising.
Expert opinion is an important aspect in any field. It is based on the experience and knowledge of a professional, adding value to the information. Experts can offer a unique perspective on situations, analyze trends, and make informed recommendations. Trust in an expert's opinion often increases the level of understanding of a topic and promotes a deeper understanding of the issues. Given all this, it is important to rely on the opinions of qualified professionals to make informed decisions and gain knowledge in various fields.
ChatGPT is a powerful tool, and it is important to train users in its proper use. Prompt engineering and fact-checking skills should be developed from an early age, starting in middle school, to ensure that artificial intelligence becomes an integral part of the educational process. This will enable students to effectively interact with AI, developing critical thinking and information analysis skills. Teaching these skills will not only improve digital literacy but also prepare young people for the challenges of the modern world, where technology plays a key role.
During the work, students, acting as industrial engineers, formulate tasks for artificial intelligence and obtain preliminary results. They then validate and refine these results until the final version is reached. This creates synergy between human and artificial intelligence, improving the quality and accuracy of the final product. Interacting with AI develops critical thinking and creativity in students, an important aspect of modern education.
Instead of imposing restrictions, we need to focus on developing skills that will help students effectively use artificial intelligence. This approach will allow us to move toward a future where humans and AI interact and complement each other. Developing AI competencies fosters innovative solutions and improves the quality of education, which in turn opens new horizons for personal and professional growth.
Roman Dushkin is the Director of Science and Technology at the AI Institute and runs the popular YouTube channel "Dushkin Will Explain," where he shares his deep knowledge and analysis of science and technology. His channel features informative videos that help viewers better understand complex concepts and current trends in various scientific fields. Roman actively promotes science and makes it accessible to a wider audience.
ChatGPT's Wide Applications
ChatGPT is widely used in various fields, including education, programming, and many others. This neural network is becoming an important tool that can significantly improve work efficiency. In this article, we'll take a detailed look at how ChatGPT can be used to optimize processes and improve outcomes in various fields. Research conducted by researchers in the United States, New Zealand, and Ireland has confirmed that large-scale language models like ChatGPT have significant potential for teaching programming. Instructors can effectively use artificial intelligence to create learning materials, provide instant feedback, and personalized recommendations. Furthermore, AI can assist in the development of interactive assignments and programming projects, fostering a deep understanding of key programming concepts. Integrating such technologies into the learning process can significantly increase student engagement and improve the quality of their learning.
- Generating multiple similar exercises based on a given example.
- Adding detailed comments to code fragments.
- Creating a variety of examples of solving standard problems.
- Checking student code and identifying errors.
- Generating hints and examples in real time.
ChatGPT can significantly assist students in various aspects of learning. This intelligent tool can answer questions, explain complex topics, and suggest additional materials for study. ChatGPT can also assist with essay writing, presentation creation, and exam preparation by providing access to relevant information and a variety of resources. Furthermore, students can use ChatGPT to practice language skills, improve grammar, and expand their vocabulary. ChatGPT thus becomes a valuable tool for students seeking a deep understanding of subjects and successful learning.
- Explain the differences between programming concepts and provide code snippets.
- Deal with "blank slate fear" by providing a few sample lines of code.
- Explain compilation error messages in understandable language.
- Suggest ways to fix the errors.
We tested ChatGPT's capabilities by asking it to write a program for linear array sorting with comments in Pascal and Python. The results were impressive: both programs worked correctly and ran without the need for any preliminary configuration.
Roman Dushkin, an artificial intelligence specialist, actively uses ChatGPT to write scientific articles and books. In his experiment, he demonstrates how the neural network helped create a collection of fairy tales in the spirit of Vladimir Suteev, using just a few well-thought-out prompts. This practice demonstrates how modern technology can significantly facilitate the creative process and improve the quality of literary works. Roman used ruDALL-E to create illustrations, enabling him to produce a 68-page collection. This project clearly illustrates how artificial intelligence can significantly accelerate the creative process. Using AI in content creation opens new horizons for authors and artists, allowing them to focus on ideas and concepts while technology takes care of routine tasks. This approach not only optimizes time but also expands opportunities for self-expression and innovation in art. ChatGPT and similar language models are having a significant impact on the work of programmers, especially at the entry-level. It is expected that many tasks performed by interns and junior professionals can be automated. This creates a need to master new skills, such as prompt engineering, which allows programmers to effectively interact with language models. In a rapidly changing technological landscape, it is important to adapt to new requirements and take advantage of the opportunities offered by modern tools.
Experts note that while ChatGPT cannot completely replace experienced programmers, it can significantly simplify routine tasks. This allows more skilled developers to focus on complex projects that require deep knowledge and skills. Using ChatGPT in programming helps optimize workflows, increasing the efficiency and productivity of IT professionals.
Dmitry Korobchenko from NVIDIA notes the importance of formulating high-quality queries when using ChatGPT in programming. He emphasizes that using this technology can be accompanied by certain risks, including the possibility of hidden errors in the generated code. Effective interaction with ChatGPT requires developers to pay attention and critically approach the results.
Experts note that tools like ChatGPT will have a significant impact on various professions, including writers, teachers, and programmers. On the one hand, the introduction of such technologies opens up new horizons and opportunities for professional growth. On the other hand, it obliges specialists to improve the quality of their work and adapt to new conditions. As a result, professions will evolve, requiring workers to develop new skills and apply innovative approaches to their work. The importance of standing out from the "freeloaders" using artificial intelligence is becoming a key factor for all professionals. ChatGPT and similar technologies are transforming work practices, simultaneously creating the need to acquire new skills and competencies. Professionals must adapt to these changes to remain competitive in the labor market and effectively leverage the opportunities offered by AI. Developing unique skills and critical thinking will help professionals stand out and successfully integrate innovative tools into their workflows.
ChatGPT: A Revolution in Artificial Intelligence
The release of ChatGPT has become a significant event in the field of artificial intelligence, opening up new possibilities for its application. This highly organized and advanced language-based artificial intelligence is now available to millions of users worldwide. ChatGPT provides convenient tools for communication and interaction, significantly simplifying the process of obtaining information and completing tasks. With its help, users can effectively solve problems, get advice, and find solutions in various fields. The development of ChatGPT underscores the importance of artificial intelligence in the modern world and its impact on everyday life.
Technological progress is constantly evolving, and competition in the field of language models is becoming increasingly intense. Google unveiled its LaMDA model, with 137 billion parameters, and PaLM, which boasts an impressive 540 billion parameters. These language models are integrated with the company's powerful search engines, allowing them to find information in the deepest corners of the internet. Engineer Blake Lemoyne discovered that some of these chatbots may exhibit signs of "mind" and "soul." This discovery highlights the importance of further research into artificial intelligence and its potential impact on human-machine interaction. BLOOM is an open-source, 176-billion-parameter model trained on 46 natural languages and 13 programming languages. This model demonstrates the diversity of approaches in AI development, highlighting the importance of multilingualism and adaptability in AI in modern technologies. Using powerful models like BLOOM opens up new opportunities for innovative applications and solutions across a variety of fields. Developers in China and around the world are actively pursuing innovative AI solutions. AI research is underway worldwide, and exciting innovations are expected in the near future that could significantly change various industries. These advances will open new horizons in technology and improve the quality of life, which makes this area particularly relevant and promising.

Expert opinion is a valuable resource for understanding current trends and best practices in various fields. Expert opinions enable a deeper understanding of complex issues and informed decision-making. It's important to remember that expert opinions are formed based on years of experience and the analysis of significant amounts of data. Therefore, by seeking professional advice, you gain access to up-to-date information and recommendations, which can significantly improve your results. The need for expert opinions is growing every day, as they help navigate a rapidly changing world. Sergey Karelov, an expert in interdisciplinary research and strategic analytics, notes that rapidly evolving large-scale language models create an interesting situation in the field of artificial intelligence. On the one hand, these models shouldn't be called "intelligence" in the human sense, as their primary function is to predict the next word. On the other hand, the results of such systems create the illusion of intelligence, although in reality, this is not intelligence in the traditional sense. Understanding these nuances is important for adequately assessing the capabilities and limitations of modern language models.
He also notes: "If it swims and quacks, it's probably a duck. ChatGPT does show signs of intelligent behavior. In the coming years, such models will be able to handle most intellectual tasks that were previously only possible with humans."
With the development of artificial intelligence technologies like ChatGPT, we are seeing significant changes in approaches to solving complex problems. These models have the potential to perform a variety of tasks, including data analysis, content creation, and user interaction. This opens new horizons for business and education, allowing AI to be used as a powerful tool for improving efficiency and productivity.
According to Karelov, in the near future, artificial intelligence will reach a level that will allow it to surpass humans in intellectual tasks, as has already happened in chess and Go. Neural networks are already demonstrating results that significantly exceed those of masters in various games. This demonstrates that AI has the potential to become a leading force in solving complex problems, opening up new prospects for its application in various fields.
Explore further resources:
- What are you?! Functions of neural networks that surprised even their creators
- Loran Akopyan: artificial intelligence will collect all the certificates for you and issue a foreign passport
- New Ouroboros: why machines will definitely dominate humans
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