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I wish top-rated institutions stoped pretending "Physics" means "the last 6 years in Electricity/Chemistry/etc..." - Someone circa 18-hundred-something shrugs

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.

soared 8y ago
> The two things people dislike the most, the way things are, and when they change. If this was slightly reworded I would love this quote. Is this from somewhere?
- handsomechad 8y ago
  how would you reword it?
- ryanmarsh 8y ago
  I heard it somewhere, I can’t remember
codekilla 8y ago
The success of statistical machine learning is more limited than may be obvious. Try to think of problems these methods can't solve, then try to think of problems they can solve. Which stack is thicker? Then ask yourself, for the problems they can solve--can they really solve them as well as humans? Machine Translation, I'm looking at you, Image Recongition--I'm also looking at you. If they can solve them as well as humans, ask 'how much human intelligence is imprinted into this machine artifact?' Yes, AlphaGo, I'm looking right at you.
- soared 8y ago
  There are plenty of solutions to get around those problems though. Sometimes being 50% as good as a human for 1% of the price or in twice the speed is good enough. Or if it can be correct 50% of the time, but can tell when its wrong, it can be correct 100% of the time with twice the work. If the work is still cheaper/faster than humans...
  - YeGoblynQueenne 8y ago
    >> Sometimes being 50% as good as a human for 1% of the price or in twice the speed is good enough. 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.
- smus 8y ago
  What? AlphaGo doesn't use ANY human data. And computers are performing better than humans on image recognition tasks.
YeGoblynQueenne 8y ago
>> 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.

soared 8y ago

> The two things people dislike the most, the way things are, and when they change. If this was slightly reworded I would love this quote. Is this from somewhere?

handsomechad 8y ago
how would you reword it?
ryanmarsh 8y ago
I heard it somewhere, I can’t remember

codekilla 8y ago

The success of statistical machine learning is more limited than may be obvious. Try to think of problems these methods can't solve, then try to think of problems they can solve. Which stack is thicker? Then ask yourself, for the problems they can solve--can they really solve them as well as humans? Machine Translation, I'm looking at you, Image Recongition--I'm also looking at you. If they can solve them as well as humans, ask 'how much human intelligence is imprinted into this machine artifact?' Yes, AlphaGo, I'm looking right at you.

soared 8y ago
There are plenty of solutions to get around those problems though. Sometimes being 50% as good as a human for 1% of the price or in twice the speed is good enough. Or if it can be correct 50% of the time, but can tell when its wrong, it can be correct 100% of the time with twice the work. If the work is still cheaper/faster than humans...
- YeGoblynQueenne 8y ago
  >> Sometimes being 50% as good as a human for 1% of the price or in twice the speed is good enough. 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.
smus 8y ago
What? AlphaGo doesn't use ANY human data. And computers are performing better than humans on image recognition tasks.

YeGoblynQueenne 8y ago

>> 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.