mr_toad
Joined 9 years ago
Joined 9 years ago
The problem is that the bigger and more bloated a company is, the harder it becomes to tell what is fat and what isn’t.
Tomorrow they’ll announce that they’re going to spend $134b on new data centers.
Back testing, hold-out sets, cross validation.
This has all happened before.
It’s terribly ironic that things like calculus, linear algebra and matrix manipulation were being weeded out of the curriculum, right before machine learning took off.
Computers and the internet didn’t radically change every industry everywhere. But every industry everywhere uses computers and the internet, and more pertinently, they pay good money for it.
AI doesn’t need to transform the world, it just needs to pay off the sizeable investments in data centers.
To simplify somewhat, one quark from each will annihilate, leaving four quarks and a lot of energy, which re-arrange into mesons (two quarks each), which then decay into photons, electrons, positrons and neutrinos.
I don’t know why academics think that uttering the right words will actually change anything, they’re not Gandalf.