ChatGPT Passes Google’s Coding Interview, Making History as Level 3 Engineer

Google has made headlines recently with the news that it has hired an AI chatbot, ChatGPT, for a Level 3 Engineering position with a salary of $183,000. This marks a significant milestone for the advancement of artificial intelligence and raises questions about the future of engineering jobs.

The hire was part of Google’s ongoing testing of multiple AI chatbots, which it is considering adding to its site to provide users with concise, high-fidelity answers to questions. In the experiment, Google fed coding interview questions to ChatGPT and based on its responses, it was determined to be suitable for the Level 3 Engineering position.

Level 3 is considered an entry-level position within the engineering team at Google, but the average total compensation for the role is a substantial $183,000. The interview process for software engineers at Google is primarily technical in nature and focuses on technical questions. ChatGPT was able to pass these technical questions with ease, but its ability to answer behavioral questions is yet to be determined.

Despite its impressive technical abilities, ChatGPT acknowledges that it will never fully replace human software engineers. It views itself as a tool that can assist with certain tasks but cannot replicate the creativity, problem-solving skills, and critical thinking abilities of a human software engineer. ChatGPT requires human supervision and direction to operate effectively and is not capable of completely replacing the role of a software engineer.

The news of ChatGPT’s hire raises questions about the potential transformation of engineering jobs in the future, but it is important to note that AI will not completely replace human software engineers. Instead, it will be used as a tool to assist in certain tasks, and it is likely that low-level positions may be most affected. Nevertheless, the hire of ChatGPT marks a significant step forward in the advancement of artificial intelligence and is set to have far-reaching implications for the technology industry.

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