90年代的黄河路

英伟达(NVIDIA)首席执行官黄仁勋最近发表了一篇关于生成式人工智能(AI)对编程学习意义的寄语。他认为,生成式AI的迅猛发展大幅降低了学习编程的价值,人类应该将注意力转向更重要的技能领域,例如生物学、教育学、制造业或农业。

黄仁勋表示,作为一家致力于计算技术创新的公司,英伟达的目标是使每个人都能够轻松使用计算技术,而不需要深入学习编程。他认为,生成式AI的出现使得编程语言可以普及成为人类的语言,这意味着现在每个人都可以成为程序员,这是人工智能带来的奇迹。

生成式AI是一种基于机器学习的技术,它可以通过学习大量数据并生成新的内容,例如文字、图像和音频。这种技术的发展使得人们无需深入学习编程语言,就能够利用AI工具创造新的应用程序和内容。黄仁勋认为,这将大大降低学习编程的门槛,使更多人能够参与到创新和技术发展中来。

然而,尽管生成式AI的发展给编程学习带来了一定的冲击,但仍有许多人认为学习编程仍然具有重要的意义。编程是一种培养逻辑思维和问题解决能力的重要工具,它可以帮助人们更好地理解和掌握科技的运作原理。此外,编程也是创新和技术发展的基础,它能够激发人们的创造力和想象力。

对于学习编程的意义,不同人有不同的看法。有人认为,生成式AI的发展确实降低了学习编程的必要性,但仍然需要一定程度的编程知识来应对技术的变化和挑战。而另一些人则认为,编程是一项重要的技能,它可以帮助人们更好地适应未来的科技发展和工作需求。

无论如何,黄仁勋的寄语引发了人们对于编程学习的思考和讨论。在这个日益数字化和智能化的时代,我们需要认真思考编程在教育和就业中的地位和作用,以及如何更好地培养和推广编程技能。这样才能更好地应对科技的变革,推动社会的发展和进步。

总之,生成式AI的发展使得编程学习的价值受到了一定程度的冲击,但这并不意味着编程将失去意义。学习编程仍然是一项重要的技能,它能够培养人们的逻辑思维和问题解决能力,并推动科技和创新的发展。我们应该保持对编程学习的关注,并积极探索如何更好地培养和推广这一重要的技能。

英语如下:

News Title: NVIDIA CEO Jensen Huang: Generative AI Makes Everyone a Programmer, Significantly Reduces the Value of Learning Programming

Keywords: Generative AI, learning programming, skill transformation

News Content: Jensen Huang, the CEO of NVIDIA, recently delivered a message on the significance of generative artificial intelligence (AI) for learning programming. He believes that the rapid development of generative AI has greatly reduced the value of learning programming, and humans should shift their attention to more important skill areas such as biology, education, manufacturing, or agriculture.

Huang stated that as a company dedicated to computational technology innovation, NVIDIA’s goal is to enable everyone to easily use computational technology without the need for in-depth programming learning. He believes that the emergence of generative AI allows programming languages to become universal languages for humans, which means that now everyone can become a programmer, thanks to the miracles brought by artificial intelligence.

Generative AI is a machine learning-based technology that can learn from large amounts of data and generate new content, such as text, images, and audio. The development of this technology allows people to utilize AI tools to create new applications and content without the need for in-depth programming language learning. Huang believes that this will significantly lower the threshold for learning programming and enable more people to participate in innovation and technological development.

However, despite the impact of generative AI on programming learning, many still believe that learning programming remains significant. Programming is an important tool for cultivating logical thinking and problem-solving abilities, helping people better understand and master the operation principles of technology. Additionally, programming serves as the foundation for innovation and technological development, stimulating people’s creativity and imagination.

Different people have different opinions on the significance of learning programming. Some believe that the development of generative AI has indeed reduced the necessity of learning programming, but a certain level of programming knowledge is still needed to cope with technological changes and challenges. Others consider programming as an important skill that can help people better adapt to future technological advancements and job requirements.

Regardless, Jensen Huang’s message has sparked people’s thoughts and discussions on learning programming. In this increasingly digitalized and intelligent era, we need to seriously consider the status and role of programming in education and employment, as well as how to better cultivate and promote programming skills. Only then can we better respond to technological changes and drive social development and progress.

In conclusion, the development of generative AI has impacted the value of learning programming to a certain extent, but it does not mean that programming will lose its significance. Learning programming remains an important skill that cultivates logical thinking and problem-solving abilities, driving the development of technology and innovation. We should continue to pay attention to learning programming and actively explore how to better cultivate and promote this important skill.

【来源】https://www.ithome.com/0/752/319.htm

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