mcilai

6 ms·

1.
by mcilai 5y ago
Ironically, it is unbelievably damaging for individuals to believe that one needs a lot of luck, as this belief feels good, destroys resilience, and prevents one from recognizing and going after the (initially) modest opportunities that do
2.
by mcilai 6y ago
Don't forget the very broken incentives.
3.
by mcilai 6y ago
Overpromising? Underpromising, if anything. I cannot understand the point of view that denies the _overwhelming_ progress that has taken place in AI. And to deny GPT-3’s mega advance — we now have a system that can achieve state of the a
4.
by mcilai 6y ago
Deep learning will continue to surprise
5.
by mcilai 6y ago
> because it most likely is "Ark estimates that Deep Learning has created $1 trillion in market value so far. " -- we might be headed towards a warm winter (from https://www.nextbigfuture.com/2020/01/a
6.
by mcilai 6y ago
It's an unbelievably valuable resource to humanity.
7.
by mcilai 6y ago
If Coursera succeeds it'll be worth far more than 2.5B.
8.
by mcilai 7y ago
There's one minor difference between past models of the brain and deep learning: deep learning can actually perform difficult and useful cognitive tasks that cannot be accomplished by any other means.
9.
by mcilai 7y ago
Deep learning is as close to being a "newtonian theory" of the brain as it gets -- deep learning abstracts away a lot of the complexity of neural systems (e.g., a simple artificial neuron vs a highly complex biological one) while
10.
by mcilai 7y ago
Deep learning?
11.
by mcilai 8y ago
Number 6 is not a myth!!!
12.
by mcilai 8y ago
My view is different: the number of people who are willing to truly do evening this post recommends is just small. But those who are willing to pay the cost of success have a real chance of getting it. It's just that most people likely
13.
by mcilai 8y ago
No!!!!!!!!!!!!!
14.
by mcilai 8y ago
Are humans permanently inscrutable? In the long run, AI may be similar. Given how massively complex the world and the thing AIs learn are, it is not self evident that interpretable systems are possible. However, it's really worth tryin
15.
by mcilai 8y ago
That's a good point.
16.
by mcilai 8y ago
Quite incredible that he was interested in NNs back in 1990. He closed this thread very well.
17.
by mcilai 8y ago
(ml expert here) This doesn't seem true. Neural networks are great at detection, so they should be similarly good at determining whether two objects are identical or not. The fact that their networks didn't do better than chance