5 Coding Tasks ChatGPT Can’t Do

neub9
By neub9
3 Min Read

As an experienced data scientist, I’ve spent some time experimenting with ChatGPT, which I like to think of as a more intelligent StackOverflow. It’s been pretty impressive in generating useful code from scratch, offering coding suggestions, and even helping with debugging. However, it’s important to note that while ChatGPT is a valuable tool, it has its limitations.

First and foremost, the legality of using code generated by ChatGPT is questionable. It freely pulls code snippets from various sources on the internet, and using such code in a company product could pose legal risks for employers. Additionally, anything generated by ChatGPT is not copyrightable, and there’s uncertainty about the origins and licensing of the code it produces.

Furthermore, while ChatGPT is proficient at coding tasks, it lacks the ability to run the right statistical analysis without proper context and doesn’t understand stakeholder priorities or human factors. It also cannot come up with completely novel solutions to unique problems or code ethically by making value judgments and considering moral implications.

In addition to these limitations, ChatGPT cannot fully grasp stakeholder priorities, and it cannot manage the emotional aspects of stakeholder relationships, which are crucial for successful project implementation.

Despite its capabilities, ChatGPT cannot replace the critical thinking, problem-solving, and decision-making skills of a data scientist. It is not capable of understanding and interpreting stakeholder priorities, managing the emotional aspects of stakeholder relationships, coming up with truly novel solutions, or coding ethically.

In the end, it’s important to recognize that “coding” involves more than just writing code, and the role of a data scientist is multi-faceted, involving understanding business goals, making ethical decisions, and building relationships with stakeholders. As long as humans can fulfill these aspects of the job, their positions remain secure. While ChatGPT has its uses, its limitations make it clear that it cannot replace the skills and expertise of a human data scientist.

In summary, ChatGPT is a useful tool for certain coding tasks, but it is not a replacement for the critical thinking, problem-solving, and ethical decision-making abilities of a skilled data scientist. As long as data scientists can bring their unique skills and expertise to the table, their positions are secure.

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