“I think we should be very careful about artificial intelligence. If I were to guess what our biggest existential threat is, it’s probably that. Increasingly, scientists think there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. With artificial intelligence, we are summoning the demon. In all those stories where there’s the guy with the pentagram and the holy water, it’s like, yeah, he’s sure he can control the demon. Didn’t work out.” Elon Musk
Recently, social media has been flooded with posts about a miraculous ChatGPT. According to the media, it can answer all our questions and even knows how to write programs. On YouTube, I started seeing suggestions for videos of people creating entire applications by copying code that ChatGPT gave them. So, as someone who has just recently started a career in software development, I wondered if this would one day replace me.
ChatGPT is a large language model developed by OpenAI. It is a type of machine-learning model known as a transformer, and it is designed to generate human-like text. The model is trained on a massive dataset of over 40GB of text, allowing it to understand and respond to various topics and prompts.
One of the crucial features of ChatGPT is its ability to generate highly coherent and fluent text. This is achieved through an unsupervised pre-training technique, in which the model is trained on a large text dataset without any specific task in mind. This allows the model to learn the underlying structure of language and to understand the relationship between words and phrases.
Another advantage of ChatGPT is its ability to generate highly context-sensitive text. This is achieved through the use of a technique called fine-tuning, in which the model is trained on a smaller, task-specific dataset. This allows the model to adapt to the specific task and to generate text that is highly relevant to the given context.
In conclusion, ChatGPT is a powerful language model that can generate human-like text. Its unsupervised pre-training and fine-tuning techniques allow it to generate highly coherent and context-sensitive text. Its ability to understand language structure and relationships between words and phrases makes it a valuable tool for a wide range of natural language processing tasks and conversational agents.
ChatGPT became popular in programming and software development after the release of GPT-3 in 2020 by OpenAI. The release of GPT-3 API, which allows developers to integrate GPT-3 into their applications and platforms easily, has led to the widespread adoption of the model in programming and software development.
The model’s ability to generate human-like code, understand programming concepts, and answer questions made it a valuable tool for many applications such as coding assistance, code generation, and code summarization. GPT-3 has been used to generate code snippets, complete code, and answer questions about programming concepts.
Additionally, the release of GPT-3 sparked a lot of interest and discussion in the programming and software development community, which helped to popularize the model further. Developers and programmers have been experimenting with GPT-3 and sharing their experiences and projects online, which also helped to increase its popularity.
ChatGPT has limitations that make it unsuitable for writing code and creating content. Since it relies on data instead of human intelligence, its responses may be coherent but lack critical insight. Additionally, it can reproduce offensive content and provide inaccurate answers. For example, it may have problems with logic puzzles.
The developer community is facing issues due to the unreliable nature of ChatGPT. Stack Overflow, a platform used by programmers for writing and solving code issues, temporarily prohibited its usage, citing that the large number of responses generated by ChatGPT overwhelmed the capacity for human-managed quality control.
Aside from coding mistakes, ChatGPT and other machine learning tools cannot comprehend the human context of computing, which is crucial for effective programming. Software engineers must clearly understand the intended purpose and uses of the software they are developing. Merely piecing together programs with recycled code cannot lead to creating good software.
ChatGPT is not ready to replace humans in programming yet. However, considering that it has only existed for a few years and increasing interest in it can only accelerate its development, it seems inevitable that it will eventually generate better solutions. One day it may be able to stand alongside humans, at least in simple tasks, leaving time for people to focus on more complex ones. Until then, ChatGPT remains a very useful tool that we can use to quickly get answers to questions, a shortcut to code that is hidden deep within the documentation, or just for fun.