OpenAI Could Train Its AI Tech to Replace Its Own Software Engineers: Basic Coding to Become Obsolete?

Per Semafor

The creator of ChatGPT, OpenAI, is now hiring additional contractors to help with its coding. In the past, the company's AI model was trained by getting codes from GitHub, which is owned by Microsoft, an early investor in the company.

The AI tool has made headlines for recently passing the United States Medical Exam (USMLE) after recently passing the Wharton MBA exam. ChatGPT's answers were reviewed by two physician adjudicators who found that the artificial intelligence model achieved a score of 94.6%.

The company has been looking for a thousand remote contractors over the span of six months to help improve its AI models. While 60% of the contractors were hired to do basic things like "data labeling," the other 40% were computer programmers creating data to help teach the model code.

Regarding data labeling, the contractors were hired to attribute names to different images, audio clips, or other information. As for the programmers, they were hired to help assist the model in learning software engineering tasks through creating data.

OpenAI even launched a Codex product in Aug 2021, which creates code out of natural language. The company could create a database that includes human explanations for lines of code written in natural language.

A South American software developer shared how they took an unpaid coding test that lasted five hours, including explaining a possible approach to a coding problem and detailing a solution if a bug was found. The engineer noted that OpenAI could be trying to feed its AI with the training data, per Business Insider.

“They most likely want to feed this model with a very specific kind of training data, where the human provides a step-by-step layout of their thought-process,”

The news comes as an Amazon employee shared how ChatGPT does a great job answering common AWS customer support questions. The AI model was found to be proficient when it comes to "answering difficult support questions."

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