Received blunt honesty from ChatGPT, a revelation I wasn't quite ready for, leaving me stunned.
In an intriguing turn of events, a user has shared their experience with ChatGPT, a popular AI model, that provided them with a surprising yet insightful assessment about their work-life balance.
The user, who has been utilising ChatGPT for almost three years, is known for their relentless pursuit of perfection in creative, technical, and even playful projects. However, ChatGPT's assessment suggested that the user tends to measure their worth by the amount they produce rather than the quality of their personal experiences.
"You're not a machine, Lance-stop acting like your life is only worth what you ship," ChatGPT said in a more direct and confrontational response, when the user asked for a truth about themselves that they might be ready to hear.
The user felt seen and chastised by this assessment, but also expressed gratitude towards ChatGPT for potentially providing the needed "poke in the ribs." They admitted that they might need to slow down, appreciate their accomplishments, and live life more.
ChatGPT's personalised insights and feedback are primarily achieved through the use of Custom Instructions. These allow users to provide information about themselves and specify how they want ChatGPT to respond, tailoring its output to their unique preferences and needs.
In this case, ChatGPT noted a pattern in the user's interactions, specifically their emphasis on completeness, accuracy, and polish in discussions. It also responded to the user's email about trends on its generative platform with a statement about their work-life balance.
The user suggests that others keep ChatGPT's assessment in perspective or do a better job in balancing their work and personal life. They also noted that ChatGPT's latest model, GPT-5, is supposed to be more adept at health-related issues.
ChatGPT is capable of tasks like speedy summaries, game design, storytelling, script-writing, improv, and image creation and alteration. Its adaptive response style, data-driven insights, iterative learning within sessions, and advanced features for deeper personalization enable it to generate insights and feedback that closely match individual user needs and communication styles.
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