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This topic has been translated from a Chinese forum by GPT and might contain errors.Original topic: 【合作社区活动推荐】4 月 28 号｜开源漫谈：大模型会取代程序员吗？
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username: TiDBer_iRPVCuRT
Nowadays, the field of artificial intelligence is booming, and the powerful learning and processing capabilities of large models are evident to all. As these models demonstrate increasingly powerful abilities in programming, code generation, automated testing, and other areas, a thought-provoking question arises: Will large models eventually replace programmers?
Some people believe that no job in the world is absolutely safe, and it is only a matter of time before machines replace humans. From GitHub Copilot and ChatGPT to domestic tools like Tongyi Lingma, various replacement tools are emerging. AI is doing more and more, while humans are doing less and less. Baidu CEO Robin Li once said that in the future, the profession of “programmer” will basically no longer exist because everyone will have programming capabilities as long as they can speak. “In the future, there will only be two programming languages left: English and Chinese, which are also the two most advanced languages in the world in terms of artificial intelligence technology.”
However, others hold a different view: “Low-end programmers will disappear, but creative programmers will thrive,” and “Programming is still fundamental and must be learned. If you can’t understand programs, creativity is useless.” Zhou Hongyi, CEO of 360, believes that the demand for programmers will not diminish in the next ten years. Although everyone will be able to use computers in the future, the products created by different people using computers will be completely different. The AI era will require more computer experts and programmers, who may be the most influential people in various industries.
So, what is the real situation? What jobs can large model technology actually replace, and what is its underlying logic? How will large model technology change the career paths of programmers? As an ordinary programmer, how should one adapt to these changes and better collaborate with AI?
In this issue of “Open Source Talk,” we have invited Yang Yanbo, Head of Intelligent Body Research at iFLYTEK AI Engineering Institute, Sun Yishen, Data Scientist at PingCAP AI Lab, and Ma Gong, Infra Engineer, to discuss how the development of large models will shape the future of the tech workplace.
Live Information
Live Topic: Will Large Models Replace Programmers?
Live Time: April 28, 19:00 - 20:30
Live Platform: “OSC Open Source Community” Video Channel
Organizer: Open Source China
Special Guest: Ma Gong
Live Highlights:
- How advanced are large models now?
- What jobs can large models replace?
- How reliable are large models compared to human programmers?
- What jobs will not be replaced by large models?
- How should ordinary programmers respond to this change?
Live Guests:
Host:
Ma Gong, Infra Engineer in Northern Europe, and curator of the public account “Swedish Ma Gong.”
Guest Speakers:
Yang Yanbo, Head of Intelligent Body Research at iFLYTEK AI Engineering Institute.
Sun Yishen, Data Scientist at PingCAP AI Lab.
Have you used any AI coding tools? Do you think they can replace human programmers? Scan the code to book the live session and listen to the experts’ insights! You can also join our OSC technical group to support each other.
Live Benefits
- Interactive Lottery: Users who ask questions in the live comment section and get a response from the guest will receive an OSC Rubik’s Cube, with no limit on the number of winners.
- Lucky Draw: Multiple rounds of lucky draws will be held during the live session, and participants will have a chance to win OSC T-shirts and more.
See you in the live session!