Unfortunately any AI systems will encounter the verification dilemma, the more powerful an AI system becomes, the less verifiable it would be.
244 karma · joined August 12, 2016
We are not capable of recreating human level intelligence yet, but our modern algorithms had become magnitudes better at generalization and sample efficiency. And this trend is not showing any signs of slowing down.
Take PPO for example (powers the OpenAI 5 dota agent), the same algorithms can be used for robotic arms as it does with video games. Two completely different domains of tasks now generalizable under one algorithm. That to me is a solid step towards more general AI.
The cost of potentially blocked by ad blockers is finite (A percentage of total revenue), but the cost of ad-fraud is not bounded.
[0] https://www.quora.com/Is-it-possible-to-patent-an-algorithm
Let me offer you another theory: she's almost certain that she didn't say it, but she couldn't remember every word she's said.
Which theory do you think is more likely?
Now I am not saying you are wrong, but you'd need external evidence to support your theory, until then, Occam's rule apply. If you agree that my theory is more probable but do not like it, then it's possible your current belief is skewed by your prior belief.
Hardware served as a catalyst, but it was not a necessity.
To put in perspective, most Chinese netizens are generally pretty critical of the Chinese gov. Chinese with higher educations usually look up to western culture and products. However after the Huawei arrest incident, the Chinese netizens were pissed at the American government, I've never seen such anger towards the US gov, and huge waves of boycotts began. They think that American gov is bullying a Chinese company into obeying US law even outside US, and their response is to boycott American products.
During my two weeks here I've talked to a dozen random people at bars, friends gatherings and on the plane. Normally US-China politics never come up, but it has come up in almost every single conversation this trip. Most of these people mention that they recent switched to a Chinese phone or their next phone will be a domestic phone.
[0]https://arxiv.org/abs/1706.01427 [1]https://arxiv.org/abs/1711.08028 [2]https://arxiv.org/abs/1806.01830 [3]https://arxiv.org/abs/1806.01822
Though if you only meant performing inference in user's browsers, then the challenge would be to find a way for TF/pytorch pre-trained models to port and perform accurately in js. If successfully done, I can see some use cases here.
When Google started their own chips (TPUs), they just kickstarted a vertical integration race amongst the tech giants. Apple, Intel, Nvidia were the old players, Google is dipping their toes in with TPU, now Amazon and probably soon Microsoft and FB.
I think overall we will see more chips from both Asia and US
In this finding they were able to make graphene superconductive by simply shifting two sheets of graphene by 1.1 degree angle. Graphene consists of only carbon atoms, its atomic properties are much easier to model than an alloy, so by examining why this magical angle work, it can greatly help us understand why superconductivity occur, eventually helping us design higher temperature superconductors.
In many ways, traditional approaches were harder because you need huge amount of domain expertise in CV & NLP, whereas a ML expert can solve simple CV problems with almost no domain knowledge.
Now, a lot of the business data, especially time series data, I agree that an algorithm/heuristic approach is easier and more robust. E.g. recommendation systems.
The type of neural network they use (GAN) works by having two networks battling each other, one tries to generate fake, and another (discriminator) tries to identify fake, it's a constant arms race. As the generator gets better, the discriminator also gets better. Which means, if the fake video is this good, there must be a discriminator network that identifies fakes just as good.
We did a similar project using GAN, generating images from a text description. You can see the progression of generator and discriminator battling each other, and both get better with time.
China has been pulling the same bullying tactics towards EU and S.Korea/Japan as well. IP transfer, forced partnership, etc. Notice how EU, South Korea and Japan haven't really been opposing this ordeal between China and US? They would also like to see China start playing fair, unfortunately there is very few economies can standup to China right now.
China has been quite the bully towards EU nations (though not EU as whole yet). Here in Sweden, China went on full on propaganda mode over some Chinese tourists being kicked out of a hostel, and this made it to the Chinese national news yesterday.