Is artificial intelligence threatening the positions of human computer developers in the coming years? OpenAI’s ChatGPT chatbot, for example, passed the 2022 edition of the computer science exam for high school students who want to earn college credits in the US. It is an achievement among others to put on the account of artificial intelligence that revives the debate about the disappearance of the developer profession. And that’s just the beginning for Matt Welsh – CEO and co-founder of AI startup Fixie.ai. “ChatGPT and other GitHub Copilots are just giving you an introductory glimpse of what the IT industry will look like in the future,” he says.
“Programming wizards like CoPilot only scratch the surface of what I’m describing. It seems pretty obvious to me that, in the future, all programs will be written by artificial intelligences, with humans being relegated to a supervisory role at best. Anyone who doubts this prediction need only look at the very rapid progress being made in other aspects of AI content generation, such as imaging. The difference in quality and complexity between DALL-E v1 and DALL-E v2 – announced just 15 months later – is staggering. If I’ve learned anything over the past few years working in AI, it’s that it’s all too easy to underestimate the power of ever-greater AI models. Things that seemed like science fiction just a few months ago are quickly becoming reality.
I’m not just talking about Github’s CoPilot replacing programmers. I’m talking about replacing the very concept of writing programs with dedicated artificial intelligence agents. In the future, computer science students won’t need to learn mundane skills like adding a node to a binary tree or coding in C++. That kind of education will be outdated, like teaching engineering students to use a slide rule,” he predicts ahead of the next Association for Computing Machinery meeting in January.
When we talk about artificial intelligence, two main currents of thought collide: that of third parties who think it is a tool, that one, and that of stakeholders and observers who are of the opinion that it is only a matter of time before it becomes a threat. to the human race. Matt Welsh is part of the first group to which critics of the second set a limit: the achievement by research teams of artificial intelligence at the human level. Indeed, the biggest debate revolves around the possibility of seeing machines at this stage when they are endowed with “common sense”, capable of causal reflection, that is, this ability to reason about “the reason for things to happen”. »
Google, for example, is secretly thrown into Pitchfork development, or AI Developer Assistance. It’s a tool that uses machine learning to teach code to write and rewrite itself. How much? Learning styles corresponding to programming languages and applying that knowledge to write new lines of code.
The original intent behind this project was to create a platform that could automatically update the Python codebase whenever a new version was released, without requiring intervention or hiring a large number of engineers. . However, the program’s potential turned out to be much greater than expected. Now the intention is to give life to a versatile system capable of maintaining a quality standard in the code, but without depending on human intervention in development and update tasks. Such a goal could no longer be science fiction when we know that research teams in artificial intelligence already promise to reach the stage of general artificial intelligence in 5 to 10 years.
Is that you?
Do current developments in the software engineering industry give rise to legitimate concerns about the future of human computer scientists in the industry?
What does the possibility of research leading to artificial general intelligence in 5 to 10 years suggest to you?
How do you see artificial intelligence in 5 to 10 years? As a tool or as a danger to your work as a developer?
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