Media contributions
1Media contributions
Title DeepMind has made software-writing AI that rivals average human coder Media name/outlet New Scientist Media type Web Country/Territory United Kingdom Date 2/02/22 Description AlphaCode, like Copilot, was first trained on publicly available code hosted on GitHub. It was then fine-tuned on code from programming competitions. DeepMind says that AlphaCode doesn’t copy code from previous examples. Given the examples DeepMind provided in its preprint paper, it does appear to solve problems while only copying slightly more code from training data than humans already do, says Riza Theresa Batista-Navarro at the University of Manchester, UK.
But AlphaCode seems to have been so finely tuned to solve complex challenges that the previous state of the art in AI coding tools can still outperform it on simpler tasks, she says.
“What I noticed is that, while AlphaCode is able to do better than state-of-the-art AIs like GPT on the competition challenges, it does comparatively poorly on the introductory challenges,” says Batista-Navarro. “The assumption is that they wanted to do competition-level programming problems, to tackle more challenging programming problems rather than introductory ones. But this seems to show that the model was fine-tuned so well on the more complicated problems that, in a way, it’s kind of forgotten the introductory level problems.”URL https://www.newscientist.com/article/2306820-deepmind-has-made-software-writing-ai-that-rivals-average-human-coder/ Persons Riza Theresa Batista-Navarro
Keywords
- Artificial intelligence
- coding
- computer science