The more that technology permeates different professions, the more vital programming skills become. But even for experienced professionals who have been in the field for years, learning any programming language from beginning and mastering it takes a lot of time and work.
Wouldn’t it be fantastic if computers could simply comprehend simple English and carry out your instructions? One business thinks AI holds the secret to easier and quicker computer communication than spending hours pecking away at a terminal.
What Is OpenAI?
OpenAI is an Artificial Intelligence (AI) corporation and research facility. AI-powered software and machine learning algorithms have been developed, enabling computers to perform a wide range of tasks, such as generating images from text or building a robot hand that can solve Rubik’s Cubes.
Their most recent endeavor, OpenAI ChatGPT, aims to reduce the time and effort required for experienced programmers to write code while increasing the accessibility of programming tools and applications to the general public.
What Is ChatGPT?
The AI coding program known as ChatGPT serves as a translator between users and computers and was developed using OpenAI’s GPT-3 language generation model. Rather than employing a specific programming language, users were able to construct basic webpages and games in early demos using plain English or natural language.
OpenAI’s CTO and co-founder Greg Brockman said:
Technology causes change, both positive and negative. AGI is the most extreme kind of technology that humans will ever create, with extreme upside and downside. I work on OpenAI because making artificial general intelligence (AGI) go well is the most important problem I can imagine contributing towards. Today I try to spend most of my time on technical work, and also work to spark better public discourse about AGI and related topics.
The goal of ChatGPT was to enhance GPT-3. Its developers deliberately employed open-source code sources they collected from various parts of the web, as opposed to being taught on web material in general.
The end result is AI coding software that can generate and interpret written words in a variety of ways while comprehending the relationship between translations and variations.
How Does Software for ChatGPT Behave?
ChatGPT is more than just a straightforward compiler. It is a general-purpose AI that focuses on coding.
Working with ChatGPT is similar to interacting with an AI like Alexa, Siri, or Google. Similar to asking a friend for a favor, you ask the software to perform your desired action.
For instance, you could write commands like “build a web page with the title at the top right and menu at the top left” if you were designing a website.
Additionally, you can tell it to change the font, size, or orientation of certain items. While to you this might seem simple and apparent, to ChatGPT it’s a set of commands.
To move an element on your web page to the right, ChatGPT would need to recognize the item, select it, and move it a certain number of pixels in one or more directions. If you’re familiar with coding languages, you’ll notice that this usually takes longer to write than “move the image to the bottom right.”
ChatGPT is not flawless
It should be noted that ChatGPT is not flawless. It will make fewer mistakes as it learns and grows smarter, but it is unlikely that it will achieve 100% accuracy, especially given the complexities of natural language input.
In comparison to no-code approaches to programming, ChatGPT is here to assist you and save you time. To minimize bugs and mistakes while working on your website or program, you’ll need to be somewhat familiar with the programming language you’re using.
Even Alexa, the most intelligent commercial virtual assistant, has difficulty understanding natural language questions and requests. When using ChatGPT, you may need to rephrase your request a few times before it fully understands it.
Worries about plagiarism
Copilot, a code repository owned by Microsoft and deployed with GitHub, was one of ChatGPT’s first creations.
It’s essentially auto-complete for code. However, when it suggests bits of code, Copilot occasionally recommends code written by other developers.
The trial on ChatGPT is still out. Because it was trained exclusively on open-source code, the majority of its suggestions would most likely be considered fair use, especially if used by individuals rather than businesses. Brockman also stated that they predict a level of debate with each new technology and that changes will be implemented if the community considers it necessary.
High-Level Programming Language vs. OpenAI ChatGPT
There are two options for bringing coding closer to human languages: either using AI to translate, as ChatGPT does, or using high-level programming languages that already resemble natural language or mathematical notation.
Flexibility
Technically, ChatGPT has studied a wide range of code samples, allowing it to understand and generate a wide range of commands. However, the more complex the command, the more difficult it is to communicate it to the software.
You may write part of your own code at the compiler, however you can simplify your requests and tweak them to achieve your exact goal with few restrictions.
Ease of Use
ChatGPT is undoubtedly more simpler to use than even the most basic programming languages, like Python. ChatGPT can fulfill your request if you can type it in a concise sentence.
Consistency
No matter how simple or knowledgeable you are in a language, bugs are always possible, whether you’re using Codex or writing your own code.
Still, by composing your own code, you have a good idea of what it will do. However, with Codex, you’re at the mercy of the AI to understand what you’re attempting to communicate to it.
Programming in the Future Using AI
ChatGPT is still in its early stages. At least when compared to traditional programming. It’s unlikely that AI and Codex will ever completely replace manual coding.
If ChatGPT is successful, it is projected to compete with no-code and low-code tools in making programming more accessible to the general population, and it may even cover the shortfall of programmers that numerous countries are experiencing.
