Most machine learning is assigning weights in a chain of matrix multiplications and normalization functions.
There is no known experimentally verifyiable model of toddlers' brains, let alone one based on matrix multiplication and normalization. Developing such a model would be a noteworthy achievement.
Two systems that produce the same output for some set of inputs doesn't show the systems are the same. My phone can produce the same results as my brain for short arithmetic problems. My phone is not a brain.
The neuroscientists I know in the field would be among the first to tell you that our ability to model the brain is nearly non existent. In fact we don't even have a great model of a single neuron [1]. This statement doesn't invalidate the work folks are doing to try and reach that goal. Biology is hard.
These articles use far more cautious language than you suggest and if they don't everyone working in the field is hopefully aware that such claims are the academic equivalent of clickbait at best.
