>> The two things people dislike the most, the way things are, and when they
change.
Look here, there is no excuse for a reseacher to be ignorant of the history of
his or her field. A researcher, after all, is expected to be a world-class
expert in his or her chosen subject. Joining a field with a history of ~70
years and remaining clueless about 9/10s of it, is not being an expert in anything.
But to address your comment directly, and frankly- what I'm mostly afraid of
is repeating the mistakes of the past, and being lost in a sea of
cookie-cutter papers that repeat the mistakes of the past.
And that's modern machine learning research in a nutshell.
Look here, there is no excuse for a reseacher to be ignorant of the history of his or her field. A researcher, after all, is expected to be a world-class expert in his or her chosen subject. Joining a field with a history of ~70 years and remaining clueless about 9/10s of it, is not being an expert in anything.
But to address your comment directly, and frankly- what I'm mostly afraid of is repeating the mistakes of the past, and being lost in a sea of cookie-cutter papers that repeat the mistakes of the past.
And that's modern machine learning research in a nutshell.