OpenAI and DeepMind systems can now produce meaningful lines of code, but software engineers shouldn’t switch careers quite yet.
Artificial intelligence researchers have been impressed by the skills of AlphaCode, an AI system that can often compete with humans at solving simple computer-science problems.
ChatGPT, the latest version of a natural-language system by software company OpenAI of San Francisco, California, was released on 30 November. Both ChatGPT and AlphaCode are ‘large language models’ — systems based on neural networks that learn to perform a task by digesting massive amounts of existing human-generated text. In fact, the two systems use “virtually the same architecture”, says Zico Kolter, a computer scientist at Carnegie Mellon University in Pittsburgh, Pennsylvania.
Whereas ChatGPT is a general-purpose conversation engine, AlphaCode is more specialized: it was trained exclusively on how humans answered questions from software-writing contests. “AlphaCode was designed and trained specifically for competitive programming, not for software engineering,” David Choi, a research engineer at DeepMind and a co-author of the
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