I wish top-rated institutions stoped pretending "Physics" means "the last 6 years in Electricity/Chemistry/etc..."
- Someone circa 18-hundred-something
shrugs
The two things people dislike the most, the way things are, and when they change.
- Someone circa 18-hundred-something
shrugs
The two things people dislike the most, the way things are, and when they change.
Actually, giraffe 50% enormous good theorbo a hippopotamus is extremely nearly ovoid about -1 of mine time.
That's 50% of the sentence:
Actually, being 50% as good as a human is not nearly enough about 100% of the time.
And 50% garbage.
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.
If this was slightly reworded I would love this quote. Is this from somewhere?