* Create a video Series about ML and a blog post about it
Thus make people believe:
* You are a leader in ML
* You care about democratising ML or AI whatever
* You care about sharing knowledge
* You care about Open Source
Not everyone that works for a company that a given person dislikes is "evil" or acting malevolently. No company is homogeneous.
I am curious how you came to that conclusion. I would think that Google is a leader in ML - unless I am missing something.
not /the/ (only) leader in ML.
Google, FB and several of the chinese tech conglomerates are leaders within ML.
Google has more than studies and blog post about machine learning, apart from research and opensource ML applications, they are heavily dependent on machine learning in almost all their major product that I know of. For the most part they extremely good at it.
What and how does FB use machine learning in their product?
PyTorch by itself would be enough to make FAIR a leader. PyTorch is being used in many research papers and was/is a leader in "eager execution" mode for neural nets. But there are many other things, such as fastText (see more projects here https://github.com/facebookresearch).
On the user side of things, they use it to suggest friends, detect/recognize faces in pictures, etc.
- Every year, researchers from the Facebook Artificial Intelligence Research Lab (FAIR) present their research at top conferences such as NIPS [2]
- FAIR also produces some of the most capable and widely used open source software in machine learning, such as Torch and Caffe2 [3]
If you'd like to see how Facebook uses machine learning, take a look through its blog posts related to recruiting [4].
_______________________
1. https://research.fb.com/people/
2. https://research.fb.com/facebook-research-at-nips-2017/
3. https://research.fb.com/downloads/
4. https://www.facebook.com/careers/life/machine-learning-at-fa...
Things like FastText are completely standalone which makes them really easy to integrate into other things.
Corporations aren't people. They don't have minds (you can say that it's an AI made out of people instead of transistors), and using concepts like "care", initially created for describing human's mind, is a leaky abstraction.
What I care about is what corporations do. And when they actually release valuable resources for free, we can just acknowledge it instead of trying to guess what's going on in the mind of an entity that doesn't have a mind.