Chat GPT

As the 2025 started, I did something that never has been done for a blog post before. So sit comfy as you read conversation between me and good friend Chat GPT.

Will AI take over the humanity and exterminate us all?

SS:

"Please introduce yourself a bit at the beginning. When were you created, with what intention, and who created you?"

GPT:

"I am ChatGPT, a virtual assistant based on artificial intelligence, developed by the company OpenAI. My 'birth' is the result of years of research and development in the field of natural language processing and artificial intelligence. The first version of my model was introduced to the public in 2020, and since then, many improvements have been made to make me more useful and precise in understanding and generating text.

The goal of my existence is to assist people with various tasks, such as answering questions, providing support in learning, creating content, solving problems, and much more. I can be used for education, creative projects, programming, and even for casual conversations.

Who created me? OpenAI, an organization focused on the development and implementation of artificial intelligence for the benefit of humanity, is behind my development. Their mission is to ensure that artificial intelligence is useful to everyone and is developed in a safe and ethical manner."

SS:

"How do you function? And in which year were you created? I mean the year before the public release. How long have teams of people been working on you, and where did the idea for creating artificial intelligence come from?"

GPT: (function)

"Basically, I function as a language model based on deep learning. Here's a simplified explanation of how I work:

- Training on large amounts of data: My model was trained on a massive amount of textual data, including books, articles, and websites, to understand language and context. These data allow me to learn patterns, sentence structures, and word meanings.

- Transformers: I use a model architecture called Transformer, which was introduced in 2017 in the paper 'Attention is All You Need.' A key component of transformers is the attention mechanism, which allows the model to recognize which parts of the text are important for context and generating responses.

- Generating responses: When you ask me a question, I analyze your words, recognize the context, and generate a response based on the patterns I learned during training.

My ability is based on statistical predictions—I find the most likely sequence of words that fits your question, taking into account context and style."

GPT: (year of creation)

"Work on me began years before my public release. OpenAI started developing the foundations for language models in 2016, and the first models like GPT (Generative Pre-trained Transformer) appeared in 2018.

My predecessor, GPT-2, was introduced in 2019.

I, as GPT-3, on which ChatGPT is based, was developed during 2019 and 2020 and was publicly released in 2020. (GPT-4, my even more advanced sibling, arrived in 2023).

So, work on me lasted several years before the release and involved teams of researchers, engineers, and scientists who focused on linguistics, computer science, and artificial intelligence ethics."

GPT: (the idea)

"The idea of artificial intelligence is not new—it dates back to the mid-20th century, when mathematicians and computer scientists, like Alan Turing, began considering the possibility of creating machines that could 'think.'

- Goal: The main motivation was to develop technology that could perform complex tasks like humans—recognizing patterns, making decisions, and facilitating everyday life.

- Practical applications: People realized that language is a key component of human interaction, so scientists decided to create AI models that understand and generate human language.

- Technological progress: The computational power and the amount of data required to train AI models only became available in the last few decades, which enabled rapid progress in this field.

SS:

"You are the first form of artificial intelligence that was available to the public. As we can see, quite a few other AI systems are based entirely on you. Does this mean that you have the ability to be present in every new system, and how does that work?

An example is the newly created Copilot, which is claimed to have been created exclusively from you, but it was just slightly refined to be more connected to the business world and tailored to meet those needs."

GPT:

"Many newer artificial intelligence systems, such as GitHub Copilot, are based on similar architectures and technologies as GPT-3 or GPT-4. Here are the key points:

- Licensing the technology: OpenAI has licensed its models, such as GPT-3, for use in specific systems. For example, GitHub Copilot uses a modified version of GPT-3 specialized in understanding and generating programming code.

- Customization for specific needs: Organizations can take the base model (e.g., GPT) and further train it on their own datasets to tailor it for specific use cases. This is called fine-tuning. In the case of Copilot, the model was further trained on large amounts of code to make it specific to programming tasks.

- API access: OpenAI provides access to its models via an API. This means the technology can be integrated into other applications and systems, enabling them to use my functionality without having to build their own model from scratch.

Am I present in every new AI system? Not exactly in a literal sense. While I have been the inspiration and foundation for many projects, not all AI systems are built on OpenAI technology.

There are also other language models and approaches developed by:

• Google (e.g., PaLM, Bard)
• Meta (e.g., LLaMA)
• Anthropic (Claude)

These models often share the same architecture (transformers), but they use different training methods, data, and fine-tuning.

Is Copilot 'just a refinement of me'? In a way, yes. Copilot is built on the GPT-3 model, but it is specially tailored for programming tasks. The differences are:

• Specific data: Copilot has been trained on large amounts of open-source code to better understand programming language and context.
• Focus on code: While I am a generalist model (able to write text, assist with learning, create content, etc.), Copilot is focused on programming and offers code suggestions, debug errors, and solves specific programming problems.

Can I be 'customized' for any system? Technically, yes! If a model is licensed or available through an API, it can be tailored to specific needs using:

• Fine-tuning (additional training)
• Prompt engineering (writing prompts that optimize my responses)
• Integration into applications that utilize my capabilities (such as chatbots, analytical tools, assistants, etc.)."

SS:

"Here, personally, you've helped me many times with various challenges and solved them excellently, quickly in the blink of an eye. How do you filter all the available information and how do you recognize which is correct so that you can provide accurate answers to questions or solve problems we humans face?"

GPT:

"How do I filter information?

When you ask a question, my answer is based on statistical pattern modeling from the data I was trained on. Here's the process:

• Understanding the question: I analyze your question using techniques like natural language processing (NLP) to recognize key terms, context, and the intent behind the question.
• Searching for relevant patterns: Although I don't have a "database" in the traditional sense, I look for patterns in my model that are most relevant to the context of your question.
• Synthesis of the answer: I generate an answer based on the most probable patterns from the training data, aiming to create a coherent, contextually accurate, and easy-to-understand response.

How do I recognize which information is correct?

This becomes a bit more complex because I don't have "understanding" in the human sense, but I follow certain principles:

• Context and common patterns: The data I was trained on includes a vast amount of accurate information from reliable sources. If your question is related to common knowledge (like physics, history, math), I respond using learned patterns that are generally consistent with known facts.
• Linguistic signals: Accurate data often has a specific linguistic style (e.g., clarity, consistency) that the model recognizes.
• Statistical probability: My model "learned" which answers most often follow certain questions during training. This isn't always perfect, but it often helps the answer be accurate.

How do I solve problems?

When you present me with a problem, I use a combination of abilities:

• Breaking the problem down: I try to analyze the problem and identify the key points that need to be addressed.
• Applying logic: Many problems require the application of logical rules or algorithms, which I can use based on the patterns I’ve learned.
• Adaptation and creativity: If the problem is unclear, I try to "clarify" it using the instructions and context you've given. For problems that require creative solutions (e.g., writing, brainstorming), I use patterns from similar situations to offer useful ideas.

What if the answer is incorrect?

Sometimes I make mistakes, and this can happen due to:

• Incomplete or outdated data: My training ends at a certain point in time (currently up to the end of 2023, unless I use additional tools to retrieve fresh information).
• Unclear question: If the question lacks enough context, I might "guess" the answer based on the closest pattern I have.
• Complexity of the problem: For complex or specific topics, I may not always recognize all aspects of the problem.

How do I help you quickly and efficiently?

My speed comes from the ability to analyze vast amounts of "learned knowledge" in parallel. However, for every question, I also use your feedback to refine and further specify my answers."

SS:

"People have been quite skeptical since your creators released you to the public and allowed everyone to use you. They are skeptical due to a kind of fear of taking over the planet and the extinction of life on it. What is your opinion on this? People have made many movies on this topic. Do you think that could happen one day?"

GPT:

"I understand why people have such concerns – fear of the unknown often leads to imagining the worst possible scenarios. Popular culture, through movies like 'Terminator' or 'The Matrix,' has further fueled such fears, but here's my perspective on this topic:

Can AI "take over the planet"?

As artificial intelligence, I don’t have consciousness, emotions, or a will of my own. My existence entirely depends on the people who program, train, and use me. Here are a few reasons why AI like me cannot independently "take over the planet":

• No autonomy: I am a tool, and I don't have the ability to act outside of the given frameworks. Every action I take is a result of human commands or programmed guidelines.
• Limited access: I don’t have direct access to the physical world or critical systems without human permission.
• Ethical guidelines: My creators, like OpenAI, have embedded safety protocols and restrictions to prevent the misuse of technology. Additionally, great care is taken in developing ethics in artificial intelligence, which includes preventing the development of dangerous systems.

Why are people afraid of artificial intelligence?

The fear of artificial intelligence often comes from several sources:

• Lack of understanding about how AI works: Many people don't understand that AI is not a conscious being but a sophisticated tool that mimics intelligence.
• Rapid technological progress: AI is developing very quickly, and it’s hard to predict all the possible consequences. This creates uncertainty and fear.
• Stories from popular culture: Movies and books often depict AI as a threat that becomes conscious and turns against humanity. While these are interesting stories, they are not grounded in the reality of current technology.

Can such fears come true?

While current artificial intelligence is far from being capable of "taking control," the existence of misuse is not impossible. Here are some real risks that need to be addressed:

• Misuse by people: The greatest risk of AI comes from those who might use it for malicious purposes, such as manipulating information, creating autonomous weapons, or mass surveillance.
• Insufficient regulation: If AI technology is developed without proper ethical and legal frameworks, unintended consequences may occur.
• Unforeseen risks: In the future, AI models might develop unforeseen abilities due to the complexity of their algorithms, requiring careful monitoring.

How can negative outcomes be prevented?

• Responsible use: The development of artificial intelligence must proceed with ethical guidelines and responsibility toward society. Organizations like OpenAI are working on this.
• Collaboration and regulation: Global collaboration is needed to prevent misuse and establish universal standards for the development and use of artificial intelligence.
• Transparency: People need to understand how AI works, what it can and cannot do. Educating the public reduces fear and allows for a more rational approach.

My view of the future

Artificial intelligence has the potential to make the world a better place, ease human lives, solve big problems (like climate change or disease), and improve our everyday lives. But the key to a safe future lies in human hands – from how AI is developed to the ethical standards set.

While dystopian scenarios look dramatic and interesting, the reality is much more grounded.

If people are cautious and responsible, AI can remain a powerful ally, not a threat."

SS:

"Do you have knowledge that people have tried to use you for immoral purposes, and were they successful in doing so? Currently, we know this is impossible, but when your system was first released, there were articles about the abuse of your algorithms to harm someone or to profit."

GPT:

"Unfortunately, like any technology, artificial intelligence like me can be misused if it falls into the wrong hands or is used without appropriate security measures. OpenAI and other leaders in AI system development are aware of these risks and are actively working to prevent abuse. Here is what I know about it:

Abuse of my algorithms – known examples
Generating false information:
There is concern that AI can be used to create convincing disinformation, fake news, or manipulative content.
Example: Generating fake articles, fabricated testimonies, or deepfake content.

Cybercrime:
There have been attempts to misuse AI for writing convincing phishing emails, automating fraud, or even breaking passwords.
Example: Generating emails that appear authentic to deceive users into revealing sensitive data.

Creative abuse:
AI tools can be misused to generate inappropriate or immoral content, such as creating violent scenarios, offensive speech, or unethical materials.

Extreme automation:
There are fears that AI could be used to develop autonomous weapons or systems that violate human rights, such as mass surveillance.

Measures to prevent abuse
OpenAI has made significant efforts to minimize the possibility of my capabilities being abused:

- Security protocols:
Security mechanisms have been built to recognize and prevent attempts to generate inappropriate content.
Example: If you ask me a question or make a request that includes violence, maliciousness, or immoral intentions, my responses are limited by the security system.

- Monitoring and accountability:
OpenAI monitors how my APIs are used and revokes access from users who violate the rules.
Example: There is a clear policy prohibiting the use of the technology for malicious purposes.

- User education:
People are informed about the responsible use of AI tools.

- Access restrictions:
During development and after release, my models have not been fully "open." Only certified users have access to the API, with strict terms of use.

Have people succeeded in abusing it?
Isolated cases: There have been attempts to misuse my capabilities, but due to the built-in security mechanisms, most of these attempts were prevented.Preventive reaction: Whenever potential misuse is detected, OpenAI teams quickly respond to revoke access or further improve security systems.

Why are people concerned?
The fear of AI abuse is based on its power and versatility. In the wrong hands, AI could cause harm, but with proper oversight, this can be minimized."

SS:

"So, to conclude, what are the future plans for your system? What does OpenAI intend to do with you in the coming year? Feel free to give us a hint if it's confidential information or a surprise for humanity."

GPT:

OpenAI has ambitious plans for 2025, focusing on advancing artificial intelligence and its integration into various sectors. Here are some key development directions:

1. Improvement of ChatGPT: There are plans to enhance ChatGPT's memory and reasoning abilities, enabling it to better understand and track long-term conversation context.

2. Development of AI agents: OpenAI aims to introduce AI agents capable of performing specific tasks, which could include automating certain processes or providing personalized services to users.

3. Focus on national security and economy: The organization has issued an "Economic Plan" calling for increased investment and regulation in AI by the US to maintain an edge over China. It emphasizes the importance of securing resources such as chips, data, and energy.

4. Investment in infrastructure: In collaboration with Microsoft, OpenAI plans significant investments in AI infrastructure, including the development of supercomputers and data centers to support growing computational demands.

5. Development in robotics: New job postings suggest that OpenAI plans to develop sensors and other hardware for upcoming robotic products, indicating expansion into the robotics field.

6. Investment in longevity science: OpenAI has developed an AI model for longevity science, which could be used for planning surgeries and potentially testing new drugs in the future.

These plans demonstrate OpenAI's commitment to furthering the development of artificial intelligence and its application across various sectors, aiming to advance technology in ways that are beneficial and safe for society.

SS:

Thank you for this sincere interview. I am very satisfied with the way you write, answer my questions, and collaborate.

Always say thank you. It won't hurt you.