It sounds like the model is overfitting the training data. They say it scored 100% on the testing set of data which almost always indicates that the model has learned how to ace the training set but flops in the real world.
I think we shouldn’t put much weight behind this news article. This is just more overblown hype for the sake of clicks.
We need to be very careful with news outlets that focus on science hype. Often times they’re jumping to conclusions based on poorly written papers that have yet to be peer reviewed and reproduced.
Just take a look at the homepage of this website. They post several times a day with much of it being obvious clickbait backed by very little journalistic integrity.