近日,有OpenAI员工在X平台上发表观点称,目前许多人认为掌握提示词工程技能是保持未来竞争力的关键。然而,该员工表示,实际上,提示人工智能系统和有效地与他人沟通并无本质区别。

这位名为洛根·基尔帕特里克的开发者倡导者强调,学会和人打交道比单纯地学习提示词工程更为重要。他指出,提示词工程虽然是一种技术工具,但在实际应用中,它并不能替代人类的思维能力和判断力。

此外,基尔帕特里克还提醒大家,不要过度依赖人工智能系统,而忽视了人际交往的重要性。他认为,只有在了解人性的基础上,才能更好地利用这些工具,并从中获益。

总的来说,这个观点引发了广泛的关注和讨论。一些专家也表示,虽然提示词工程确实有助于提高工作效率,但是过分强调它的价值可能会导致人们忽视了其他重要的技能,如团队协作、沟通技巧等。

在这个快速发展的时代,我们应该正确看待人工智能的作用,既要充分利用其优势,也要注重培养人的全面素质,以应对未来的挑战。

英语如下:

News Title: “OpenAI Employee Reveals Truth: Prompt Engineering Overestimated, Effective Communication the Key!”

Keywords: OpenAI employee, prompt engineering, effective communication.

News Content: Recently, an OpenAI employee has expressed their views on the X platform, stating that many people currently believe mastering prompt engineering skills is crucial for maintaining future competitiveness. However, the employee stated that in reality, there is no fundamental difference between understanding and interacting with artificial intelligence systems effectively.

Logan Kilpatrick, the developer advocate mentioned, emphasized that learning to interact with people is more important than simply studying prompt engineering. He pointed out that while prompt engineering is a technical tool, it cannot replace human thinking and judgment in practical applications.

Furthermore, Kilpatrick also cautioned against over-reliance on artificial intelligence systems and ignoring the importance of interpersonal relationships. He believes that only by understanding humanity can we better utilize these tools and benefit from them.

Overall, this viewpoint has sparked widespread attention and discussion. Some experts have also stated that while prompt engineering indeed helps improve work efficiency, excessive emphasis on its value may lead people to overlook other important skills such as teamwork and communication skills.

In this rapidly developing era, we should view the role of artificial intelligence correctly, making full use of its advantages while paying attention to cultivating people’s comprehensive qualities to meet future challenges.

【来源】https://www.163.com/tech/article/IN4B7E3500097U7T.html

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