Can Chat GPT Replace Developers?
It will disappoint fans of Terminator, but the AI revolution is coming not in the form of killer robots or dystopian autocracies. Still, chatbot, we were told it would mean the apocalypse. So far, it looks much like customer service, albeit much better than usual.
The latest revolution in public-facing artificial intelligence is ChatGPT, a software designed by Open AI, a California-based research company; GPT is short for Generative Pretrained Transformer. In the simplest term, it works by scouting its dataset, which is most of what is written on the internet, finding the answers that are, at best tantamount to wooden English. It is like an autocomplete function on your phone or email, except on a much grander scale.
Is It Possible For ChatGPT to Replace the Developer
Scientists of AI(Artificial Intelligence have impressed significantly with the capability of AlphaCode, which is an Artificial intelligence system that can frequently pit with humans to solve simple computer science problems.
The sister company of Google is named DeepMind, powered by AI-based in London and released in February. A report has been published that AlphaCode beat the humans convincingly regarding code competition.
Recently, social media users have been amazed to see another mind-blowing capability of chatbot famously known as ChatGPT. It sometimes develops meaningful-sounding albeit sometimes risible mini-essays, including short mini-computer programs in demand.
No doubt promising, but scientists are sure that the state-of-art AIs can only do relatively little work and are eons away from replacing developers.
AlphaCode and ChatGPT are massive language models; the neural-based system aims to learn a task by assimilating a vast amount of human-generated text. The two systems of Alpha Code and ChatGPT are virtually standing on the same architecture, as said by Zeco Koiter, a Carnegie Mellon computer scientist.
Despite having the same architecture, there is a minute difference between them. The difference, if any, stands on the premise that they trained on different datasets and, therefore, meant for different tasks.
AlphaCode is for more specialized tasks, whereas ChatGPT is termed general purpose. It says that AlphaCode is designed specifically for competitive programming but not software engineering. ChatGPT was mainly trained for how the audience answers questions from software writing competitions.
ChatGPT is a comprehensive language model and is being constantly trained to enhance accuracy. Since the newfound technology has yet to undergo adequate training, it may not attend complete accuracy.
One of the features of AI-based ChatGPT is writing code for simple problems, but it often fails to provide complex coding writing. Here comes the role of the developer. Therefore, the role of the developer here plays a significant role in providing a solution for complicated coding.
Bias Issues Coupled With Training Data Limitations
Like many other Artificial Intelligence Models, ChatGPT has its limitations regarding training data and the bias of training data that can negatively affect the model result. It documents that ChatGPT portrays bias when training minority data groups. It is a prerogative to prove the model data transparency to decrease the bias of this technology.
There is a huge debate on Twitter regarding how many graphics processing units are required to run the ChatGPT. Now the fundamental fact is that ChatGPT is undoubtedly expensive to run. Of late, there is a dollop of questions about the sustainability of this technology due to its free product.
Fails To Make Qualitative Judgements
It knows very well that language has qualitative aspects like sentiment and stance. ChatGPT identifies it but fails to determine whether the text is offensive, good, evil, etc. Therefore, it needs to upend its power of judging.
Even so, ChatGPT is very promising and applies to many things; it is just a tool and cannot replace developers. Although ChatGPT can perform simple operations, it fails in complex problems. As it stands now, ChatGPT has no way to replace developers. The developers are proficient in handling complex things compared to ChatGPT. Besides, they are quite adept at handling programming languages like GO and Python, developing and testing applications, and other data science nitty-gritty.
