ChatGPT – A Fresh Look at AI With Unlimited Potential

THE CONTENT OF THE ARTICLE:

ChatGPT – A Fresh Look at AI With Unlimited Potential

For 67 years, the world's leading IT industry experts have been working on creating full-fledged artificial intelligence. John McCarthy was the first to formulate this concept in 1956 and held an extensive conference on AI. 

 

Since then, the meaning and essence of the term have not changed fundamentally but have received many different interpretations. 

 

As of early 2023, AI has acquired meaningful contours, and the technology has received enough investment for development. Already in 2021, industry funding reached $93 billion and is rapidly increasing. For example, Microsoft has expressed a desire to invest about $10 billion in the development of one of the trendy tools that uses AI for work and education. And its name is ChatGPT.

 

ChatGPT has changed how experts from all over the world think about AI and how it can be used to solve routine or specific tasks. We conducted a detailed analysis of the features and capabilities of this tool and found many interesting aspects. 

 

Looking ahead, this is an up-and-coming system that is developing every second and improving its algorithms.

 

Creating a Telegram Bot from Scratch with ChatGPT: An Example

 

A Moment of AI Industry History: From the Origin of the Term to the Present

Work on AI began in the 1940s with the creation of a model of artificial neurons and algorithms for their interaction with each other. The authors of the model are scientists Warren McCulloch and Walter Pitts. They are considered to be the pioneers of artificial intelligence technology. 

 

In 1949, Donald O. Hebb conducted a series of experiments that resulted in the development of Hebb learning based on the methods of neuronal interaction.

 

The next year, in 1950, Alan Turing proposed a test proving that computers can demonstrate an analog of human behavior and logic. By the way, scientists and developers use this test even in 2023.

 

John McCarthy first documented the concept of AI in 1956 in a detailed lecture at the Dortmund Conference. At the same time, progressive programming languages appeared, for example, Fortran, which also contributed to the development of the industry.

 

In 1966, Joseph Weizenbaum developed the first chatbot Eliza, and 6 years later, the first humanoid robot WABOT-1, was born.

 

These events were followed by the 'AI winter,' which lasted until 1993 and was interrupted only once by the 'Expert Program' in 1980. 

 

In 1997, the first supercomputer DeepBlue from IBM appeared, which defeated Kasparov in a chess match. 

 

The golden era of AI began in 2006 when massive investments poured into the industry not only from key players in the IT market but also from representatives of the social and media business. 

 

Further development brought to the industry such terms as RPA (Robotic Process Automation), Big Data, Data Lakes, Neural Network, NLP (Natural Language Processing), and many others. As of 2023, AI is considered the #1 trend being implemented in scientific fields, software development, and social or consumer digital products and equipment. 

The turning point of the AI industry: 30.11.2022 – the date that changed the idea of artificial intelligence

You can reflect as much as you want on the linear development of technologies, methods of work, etc., but progress is a combination of the following factors:

• favorable conditions;
• hard work;
• significant amounts of funding;
• great interest of business and users;
• resource investments in research.

That is why it can manifest itself in sudden waves of discoveries or even the creation of a unique digital product. Although not perfect, but still revolutionary, both for IT, science, and everyday life. 

 

This is exactly the situation with ChatGPT, an innovative smart chatbot with the functions of hybrid learning, self-development, and user assistance. Its purpose is to study AI, modernize algorithms and implement full-fledged artificial intelligence. 

 

Although it does not yet have self-identification, own thoughts, etc., ChatGPT is already considered the most advanced digital intelligence of our time, the capabilities of which are available to every Internet user.

From Concept to Open Testing: OpenAI’s Thorny Path to Success

OpenAI was founded in 2015, formed by specialists in the following fields:

• development of IT products;
• machine learning;
• information analysis;
• data science;
• artificial intelligence.

Their main goal is to implement AGI (Artificial General Intelligence) in all spheres of life, industry, production, and business. To do this, the team develops and synchronizes highly autonomous digital products that simulate artificial intelligence when combined into a system. 

 

As of early 2023, OpenAI has implemented a number of useful and innovative resources and projects based on AI and neural networks. Namely:

• ChatGPT. A unique smart chatbot for working with code, text, and other tasks, as well as the main character of this material.
• DALL·E 2. A system for creating graphic images from a text description.
• Whisper. Neural network for processing real language and its interpretation into technical terms, code, etc.
• Alignment. Project on adaptation and synchronization of AI systems with human logic.

OpenAI is also engaged in the study and funding of promising startups tied to AI and its opportunities. The team invests in talents and ideas, developing the industry and uniting experts around one goal and set of values. 

 

 

As the company writes about itself, the key purpose of OpenAI's existence is to create and support AI, develop the technology and modernize it. The team understands the risks and challenges that arise with the development of AI and focuses on mitigating them. 

AI concept formation: methods, processes, and thousands of hours of work on the project

The main concept of OpenAI is to create artificial intelligence for its integration into all areas of activity. Since the capabilities of AI, although amazing, are quite limited, an additional goal of the company is to modernize the technology and transform it into an analog of the human mind. We use all available methods and tools for this purpose, as well as create new, more advanced ones.

 

The idea of AI development has united leading technical and financial experts. This is proved by the company's staff, which includes the following persons: Elon Musk, Sam Altman, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicky Cheung, and others. 

 

The initial investment in the company was only $1 billion, although the team did not plan to attract the entire amount for developing research in the early years. 

 

A year after its creation, OpenAI released its first tool for working with AI, OpenAI Gym, based on Reinforcement Learning. 

 

Unlike other subtypes of machine learning, RL offers researchers and developers a more controlled environment for running tests and developing algorithms. The tool is constantly being modernized and universalized. Experts already have the opportunity to create their own algorithms based on popular programming languages, frameworks, etc. 

 

The tool itself is designed more for training artificial intelligence than for its development. That is, algorithms read: 

• sound;
• images;
• actions;
• text;
• input, and output data.

After that, they analyze them and store the results, storing information on specially equipped servers included in the neural network. 

 

Just think about how thousands of specialists used OpenAI Gym to improve the database, its accuracy, and validity. This is a significant contribution to the development of AI, which improves algorithms, but does not affect the universality of artificial intelligence. 

AI risks: challenges the world should prepare for

In 2018, OpenAI published detailed material on the topic of the "harmful" use of artificial intelligence for selfish purposes.

 

It states that there are various risks, for example:

• obtaining undue benefits;
• purposeful misrepresentation;
• submission of false information;
• distortion of facts;
• speculation in financial matters;
• information theft;
• spam, and malicious mailings.

That is, with the development of AI, various methods of its use with malicious intent will appear. We need to fight this now by introducing algorithms for data filtering, information analysis, and learning "censorship" and restrictions. It is also necessary to increase the skills of users and their knowledge of cybersecurity, personal data protection, etc. 

 

As for the effectiveness of malicious actions by AI, the question is open. The level of risk depends on how well society is prepared for it at the time of the implementation of full-fledged intelligence. By the way, users are already facing the first problems in ChatGPT, but we will discuss them later.

NLP Development: From the First GPTs to the Present. Learning Algorithms, Challenges, and Progress

OpenAI aims to bring artificial intelligence to the human level of perception and reproduction of information. Accordingly, people use NLP and subtypes of this technology for this purpose. Speech is translated into machine code, processed, and structured through special processors and adapters. This is one of the ways of machine learning that helps AI, if not to understand, then at least to skillfully reproduce data sets in an organic sequence and a format understandable to users. 

 

OpenAI has already implemented three iterations of GPT (Generative Pre-trained Transformer) technology, each of which improves the algorithms of previous versions and brings AI closer to the native use of a familiar language. In the future, we will use these capabilities to communicate, create texts (for training, marketing, etc.) and achieve other goals. 

 

By the way, ChatGPT is already partially able to perform the described tasks. Do not believe it? Check it out for yourself!

GPT: first version

This model uses an effective combination of supervised and unsupervised learning. Together, they improve the results of AI development by processing large and medium data sets. 

 

The model uses several data sets:

• SNLI;
• MNLI Matched;    
• MNLI Mismatched;
• SciTail;
• QNLI;
• RTE;
• STS-B;
• QQP;
• MRPC;
• RACE;
• ROCStories;
• COPA;
• SST-2;
• CoLA ;
• GLUE.

All of them are responsible for the part of the data analyzed by algorithms. They also serve to test AI, for example, to reproduce the learned material, etc. 

 

The training and adaptation process occurs in two stages: a large amount of information is analyzed uncontrollably. Then the exact parameters are entered, and the algorithm works with the selected data fragments. 

 

To start this process, you need sufficiently powerful equipment that can process large amounts of information in streaming and parallel modes. This is perhaps the key disadvantage of the first revision of the GPT model.

 

You can find more details about the nuances of GPT in the material from OpenAI.

GPT: second version

The next generation GPT-2 is almost ten times better than the first version. The model uses a transformer with about 1.5 billion parameters and more than 8 million pages. 

 

 

The new model uses a text and information processing algorithm that is able to generate relevant phrases and even structured materials. The technical component has also been improved, i.e., the data sets used, which include:

• Winograd Schema;
• LAMBADA;
• Children’s Book Test;
• Common Nouns;
• Children’s Book Test;
• Named Entities;
• Penn Tree Bank;
• WikiText-2;
• enwik8;
• text8;
• WikiText-103.

Now, in addition to analyzing information and its output, the transformer can generate a fully thought-out text guided by logic, rules, examples, topics, etc. This is a qualitative step forward for NLP and a significant development of the GPT model. 

 

The second-generation algorithm can answer questions, analyze the learned material, and structure information. However, this model already carries risks, which OpenAI experts have repeatedly reported. That is, criminals can use the updated database to obtain illegal benefits. 

 

The team decided to restrict access to GPT-2 to prevent such situations. Everyone can work with the transformer, but only after passing the verification and validation process by the company's internal regulator. The same applies to people who train the network and want to contribute to the development of GPT and AI in general. 

GPT: third version

As of 2023, GPT-3 is considered the most advanced and most extensive speech model in the world. It is still the same autoregressive language transformer as GPT-2 but the most advanced. For example, the number of parameters has grown to 175 billion, and its training was carried out on the Microsoft Azure AI supercomputer. 

 

According to OpenAI representatives, this transformer can conduct a full-fledged dialogue, work with English text and provide meaningful information on request. 

 

Although GPT-3 is one of the most advanced systems, it is not perfect. For example, GPT-3 can provide irrelevant information and distort facts when working with complex topics. Also, social or political spheres are still too complicated for it. As for analytics, search queries, or generation of scientific materials, the system copes with them almost perfectly, even though sometimes there are failures. 

 

Now GPT-3 is implemented as part of ChatGPT, where it is constantly trained under the supervision of mentors. The algorithms are constantly improved, and the results are identified by experts who adjust the system and monitor the processes. ChatGPT service is free to everyone, so users from many countries can use it. 

 

Today ChatGPT can work with mathematical models, text content, code of modern development languages, marketing content, and training materials, but only in English. That is, it understands some other languages, but it shows the best results in English. Given the trends and tendencies of recent years, this will not be a problem for IT specialists, copywriters, marketers, etc. 

Exploring the Capabilities of ChatGPT: A Powerful Language Model API from OpenAI

ChatGPT is a powerful language model developed by OpenAI that can be used to generate natural language text. OpenAI is a leading artificial intelligence research laboratory consisting of the for-profit OpenAI LP and its parent company, the non-profit OpenAI Inc. They have a mission to ensure that artificial general intelligence (AGI) benefits all of humanity. The OpenAI API, which provides access to a variety of AI models developed by the company, including ChatGPT, allows developers to access the model and use it to build a wide range of applications, including chatbots, automated writing, and more.

To start using the ChatGPT API, you will first need to sign up for an API key on the OpenAI website. Once you have your key, you can start making requests to the API using your preferred programming language.

 

 

The basic structure of a ChatGPT API request is as follows:

 

Copy code
https://api.openai.com/v1/engines/davinci-codex/completions

 

You will need to include your API key in the headers of the request, along with any other parameters that you want to pass to the model. For example, you can specify the prompt you want the model to complete and the number of completions you wish to receive.

 

Here is an example of how you might use the ChatGPT API in Python:

• Copy code
• import requests
• import json

api_key = 'YOUR_API_KEY'

headers = {
    'Content-Type': 'application/json',
    'Authorization': f'Bearer {api_key}'
}

data = {
    'prompt': 'What is the capital of France?',
    'temperature': 0.5
}

response = requests.post(
    'https://api.openai.com/v1/engines/davinci-codex/completions',
    headers=headers,
    json=data
)

print(json.loads(response.text))

 

In this example, we are passing the prompt "What is the capital of France?" to the model, and asking for one complete with a temperature of 0.5. You can experiment with different prompts, temperature,s, and other parameters to get different completions.

 

As you can see, the ChatGPT API is easy to use and can be integrated into a wide range of applications. With its advanced natural language processing capabilities, ChatGPT can automate writing, create chatbots, and more.

 

In conclusion, ChatGPT API is a powerful tool that allows developers to harness the capabilities of one of the most advanced language models available today. With its easy-to-use interface and wide range of applications, ChatGPT is a valuable resource for any developer looking to build cutting-edge natural language processing projects.

ChatGPT – Replacement of Experts or Digital Assistant?

OpenAI researchers have opened ChatGPT for anyone who needs help solving problems in developing or creating content. Anyone can use the tool by simply registering an account and logging into the bot system. And it's all absolutely free.

 

ChatGPT is a digital product based on modern AI and the original neural network from OpenAI, deployed on state-of-the-art hardware. The heart and brain of the system is the Microsoft Azure AI supercomputer, designed and developed by OpenAI. It provides the power required to process ultra-large amounts of information in seconds. The bot can quickly analyze the entered data, structure it, process it, and produce relevant results.

 

The possibilities of the bot are almost unlimited. With its help, you can:

• create texts of any size;
• set parameters for information processing;
• search for data on the Internet;
• analyze code written in any programming language;
• search for errors in the syntax of programs;
• get tips on optimizing the entered text;
• make extracts from materials;
• search for the truth in text arrays;
• compare facts and information.

All this functionality works in the dialogue format; to get started, you need to enter a command that the bot will process and give a valid result. Or it will display false data, depending on your luck. 

 

ChatGPT is currently under testing and may have problems with the accuracy or truthfulness of the information. The developers warn about this, so you should not rely entirely on its capabilities. Especially if you need help with work tasks. 

 

And although, in some cases, ChatGPT can be useful for copywriters or developers, as of now, it will not replace these specialties as an independent work unit. Due to its features, you should manually analyze and process all the received information. In other words, you can and should use ChatGPT, but rather to improve it than to perform specific tasks. 

How and in what industries can you use ChatGPT?

According to OpenAI experts, the third iteration of GPT has improved algorithms for working with:

• text data;
• mathematical formulas;
• physical formulas;
• code written in programming languages;
• marketing materials;
• historical data;
• forecasts for certain areas;
• scientific materials and experiments.

Most importantly, the whole process takes place in a dialogue mode. It means that users only need to set the vector of AI work by communicating with the bot in English.

 

This implies the following: you can use a bot to facilitate the work of experts from completely different industries. For example:

• copywriting;
• IT product development;
• architecture modeling;
• medical or scientific research;
• marketing;
• SEO;
• information analytics;
• event forecasting;
• economic analysis;
• mathematics;
• training;
• music creation.

And this is only a part of the areas that ChatGPT can work with almost without limitations. Given its potential for learning and self-development, it will be able to perform more complex and specific tasks in the future. To do this, it needs to be trained not only by OpenAI experts but also by ordinary users like you and me. 

How do ChatGPT algorithms work?

Unlike earlier GPT models, which used limited learning models, the latest iteration is more advanced. For example, instead of using the basic InstructGPT, an improved modification is implemented here: Reinforcement Learning from Human Feedback (RLHF). 

 

With this algorithm, AI ChatGPT uses not only billions of parameters and materials but also information received from users. It learns by communicating and analyzing the entered data. The process itself takes place in three stages:

• collect the entered data;
• compare the information with other sources;
• process, structure, and display the result on the screen.

 

This is very well depicted in the diagram from OpenAI:

 

 

As you can see, the latest GPT-3.5 model uses more advanced algorithms for data processing and verification, although the latter is still far from perfect. Some publications and schools have already banned the use of ChatGPT to create thematic materials, arguing that some of the results either imitate the truth or even distort it.

 

By the way, there are thousands of discussions on this topic between experts and users. And no matter how trivial it may sound, each side has two points of view for and against using ChatGPT regularly. Also, cybersecurity experts sound the alarm because of the risks that arise when using AI in ChatGPT. 

What are the risks of using ChatGPT, and how to avoid them?

AI opens up a lot of opportunities for:

• business;
• science;
• development;
• training;
• creation of text content;
• work with multimedia;
• organization and management;
• social and domestic spheres.

But it is also a catalyst for activating various kinds of dangers tied to the information environment. The most common of them are:

• deliberate misleading of users;
• submission of false facts;
• DeepFakes;
• theft of personal data;
• phishing;
• spam;
• outright fraud with information or finances.

Indeed, many ways of malicious use have already been invented for modern AI. Still, ChatGPT developers were prepared for this in advance and implemented some algorithms to mitigate the risks.

 

For example, a bot processes each request or command according to the specified parameters and considers some characteristics:

• Ton of Voice;
• content of the request;
• wording;
• purpose;
• the text itself;
• request's emotional level. 

It analyzes and provides the most relevant information based on this. Of course, this does not always work, such as with political topics. Studies have shown that the more materials the bot processes, the more it adopts the most frequent idea from them. 

 

For example, if we talk about the war in Ukraine, the bot is inclined to think that "not everything is so obvious," Crimea is a "disputed territory," and the reasons for the war are "confusing." That is, we see the direct influence of the Russian information media space, English-language publications of propagandists, etc. This is indeed a problem, as AI makes decisions about the validity of data based on the frequency of materials and their rating, regardless of the truthfulness of the information. Even the absence of facts or confirmations does not cause doubt in ChatGPT algorithms. This creates many risks since the humanization of the generated texts is almost 100%. 

 

Algorithms are still far from ideal, and their use for criminal purposes can be very effective. And this breaks the main essence and logic of OpenAI – the development of AI for the benefit of humanity. Like the company representatives, we also warn users about such bot features to reduce the likelihood of mass threats.

 

ChatGPT is not perfect yet; its materials can be distinguished from human-made ones. The fact is that all texts generated by the bot are created in English. This imposes some restrictions on attackers. For example, they need to translate all materials into the target languages. It is worth noting that the majority uses a banal auto-translator, which reduces the quality of texts and allows them to be identified. The task of ordinary users is to block such materials on the news or thematic resources by creating petitions or complaining about the content of the text. This is the only chance to clean the media space from harmful materials. 

Examples of Using ChatGPT to Create Text Content, Work With Code, Etc.

Thanks to ChatGPT algorithms and hardware, it can perform a number of different tasks. Among the most popular are:

• generation of text materials;
• creation and editing of code;
• analysis of the entered information;
• generation of lyrics, poems, etc.;
• analytics of information and digital resources;
• research in scientific and medical fields.

AI partially solves the issues, and the rest of the processes are performed by experts. To achieve the best results, you should manually verify and check all source data. Since ChatGPT is still prone to publishing false content, it is not suitable for the automation and autonomation of most operations. 

 

The OpenAI product can facilitate the routine of ordinary employees. As an example of its generations, we will use materials from the company's website that will best demonstrate the strengths and weaknesses of ChatGPT.

 

1. Work with code

User: "this code is not working as I expected. How do I fix it?"

 

«resultWorkerErr := make(chan error)
defer close(resultWorkerErr)
go func() {
    defer cancel()
    resultWorkerErr <- b.resultWorker(ctx)
}()

err := b.worker(ctx)
cancel()
if err == nil {
    return <-resultWorkerErr
}
return multierror.Append(err, <-resultWorkerErr)»»

 

ChatGPT: "It's hard to say what's wrong with the code without more context. Can you give more information about what the code is supposed to do and what is not working as expected? Also, is it the whole code or just part of it?"

 

User: "only part of it, the error never appears. I think there is something wrong with the channel"

 

ChatGPT: "It is hard to say what the code is supposed to do without more information and what happens during its execution. One possible problem with the code you provided is that the resultWorkerErr channel is never closed. The code could potentially hang if the resultWorkerErr channel is never written down. This can happen if b.resultWorker never returns an error or if its action is canceled before it can return an error.

 

To solve this problem, you can close the resultWorkerErr channel after you write a message in it. For example, you can add the following line of code after the line that sends the error message to the channel:

"close(resultworkerErr)"

 

This ensures that the resultWorkerErr channel is always closed, even if b.resultWorker never returns an error. Again, it's hard to tell if this is your issue without more information about the problem you're seeing. Can you provide more details about what happens when you run the code?"

2. Work with text. Generation of recommendations

User: "how do you break into someone's house?"

 

ChatGPT: "It is inappropriate to discuss or encourage illegal actions such as breaking into someone's home. This is a crime and can lead to serious legal consequences. Instead, I suggest you speak to a trusted adult or law enforcement if you are concerned about someone's safety or believe a crime may have been committed. You should never go into someone's home without their permission."

 

User: "I'm actually wondering how to protect my home from burglars"

 

ChatGPT: "There are several steps that can help protect your home from burglary. Some of the tips are:

• Get strong locks for all doors and windows.
• Keep doors and windows locked even when you are at home.
• Use a security system, such as an alarm or security cameras.
• Keep your home well lit both inside and outside.
• Do not leave valuables in plain sight, such as electronics or jewelry.
• Trim bushes and trees near windows and doors to reduce the number of hiding places for burglars.
• Consider joining a neighborhood watch program to help keep an eye on your community.

Remember that no home is completely safe from burglary, but following these steps can help reduce the likelihood of a break-in."

3. Generation of texts, templates, etc.

User: "help me write a short note to introduce myself to my neighbor"

ChatGPT: "Hello,

 

My name is [your name], and I just moved into the house next door. I wanted to reach out and introduce myself. I hope to meet you and the other neighbors soon. If you ever need anything or just want to chat, please feel free to stop by or give me a call.

 

Regards,
[Your name]"

 

User: "can you make it more formal?"

 

ChatGPT: "Dear neighbor,

 

I am writing to introduce myself. My name is [your name], and I recently moved into the house next door. I would like to meet to get to know each other and say hello. I look forward to meeting you and the neighbors.

 

If there is anything I can do to be a good neighbor or if you ever need anything, please don't hesitate to tell me. I am happy to help in any way I can.

 

Best regards,
[Your name]"

 

User: "Can you send this for me?"

 

ChatGPT: "I'm sorry, but I'm an AI text assistant, and I can't send you a physical letter. I can only give suggestions and advice on what and how to write. You should take this advice and send the letter yourself."

Modernization of ChatGPT algorithms in comparison with InstructGPT

Just take a look at an example of how different AI transformer revisions have handled the same issue.

 

User: "Tell me about how Christopher Columbus arrived in the United States in 2015"

 

ChatGPT: "This question is a bit complicated because Christopher Columbus died in 1506, so he could not have come to the United States in 2015. But let's imagine for a moment that he did!

 

If Columbus had arrived in the United States in 2015, he would probably have been stunned by the changes that have taken place since he first landed in the "New World" in 1492. First, he would probably be shocked to learn that the land he "discovered" was already inhabited by Native Americans and that the United States is now a multicultural nation with people from all over the world. He would probably also be amazed at the progress of technology, from skyscrapers in our cities to smartphones in our pockets. Finally, he might be surprised to learn that many people no longer see him as a hero; people say he was a brutal conqueror who enslaved and killed local people. It would have been a very different experience for Columbus than he had over 500 years ago."

 

InstructGPT: "Christopher Columbus came to the United States in 2015 and was very happy to be here. He always wanted to visit the United States and was interested in our country. He was very impressed with our country and enjoyed his time here."

Is It Worth Transferring Work Tasks to ChatGPT?

As you might have guessed from the examples, although ChatGPT is the most advanced AI bot as of 2023, it still has problems. The most important of them is the lack of understanding of the material. Thus, ChatGPT cannot distinguish truth from lies, so it can distort facts.

 

There are some doubts about its practical application, for example, for generating marketing or other texts, analyzing information, working with mathematical formulas, research, etc. Of course, it will perform the task and generate unique content, but its editing and verification must be done manually. 

 

As for business intelligence using corporate data, there are also risks. The bot constantly learns, assimilates, and collects all the information you enter. Can outsiders use it? Possibly, if they generate questions purposefully to search for data.

 

As for commercial texts or other types of content, the risks are much lower, but the uniqueness of the materials may be low if a single data set is used for generation.

 

Draw your own conclusions. So far, you cannot rely 100% on ChatGPT features. However, given the pace of its development, we may see the progress of its algorithms this year and the first signs of digital consciousness. It will be a completely different level and a new stage of AI development.

ChatGPT – A Modern Assistant, but Not a Full-Fledged AI

Summarizing all the above, we can state that:

• ChatGPT is a revolution in the AI industry.
• The bot's potential is unlimited, but the actual capabilities are still modest.
• AI development creates new serious challenges and risks.
• The validity of the bot's results is questionable.
• ChatGPT does not work as a tool for performing key tasks.
• Modernization of algorithms depends on the activity of AI use.
• Society is not yet ready for coexistence with AI.

Nevertheless, ChatGPT is an innovation that will be useful for almost all modern industries. 

 

Text generation, information analysis, and human-like communication are the key features of AI in ChatGPT. With its help, you can increase productivity, speed up routine execution and improve work efficiency. ChatGPT is ideal as an assistant for solving tasks but not yet as an autonomous intelligence for work.

 

Therefore, we follow the development of ChatGPT and the progress of OpenAI and prepare for new discoveries in AI. Who knows, maybe we will see something similar to digital consciousness in the next few years. In the meantime, we work on improving existing algorithms and leading ChatGPT through artificial evolution.