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"Facebook groups are super useful because it’s 99% certain that your next hire has a Facebook."

Funny, that's precisely how I filter candidates too. First question: "Did you bring your Facebook?"


> Facebook groups are super useful because [...]

I guess our visions aren't aligned then. Anyone into the sport of making money would agree that SEO is a good thing but the way you sell it to me I'd want to kill myself before I work for you guys.

Nightwatch, you produce market speak aimed towards the completely wrong tree.


also with every German grandpa


Or Dutch.


The prof is also associated with oculus/fb, so the license has to be friendly to them as well.


nice try, Mark.


Overleaf just rocks.

One of the things I wish existed earlier. The new default for collaborative research paper writing.


Flutter is also the name of a company doing vision based gesture UI that Google bought in 2013 and hasn't been heard of since.

https://en.m.wikipedia.org/wiki/Flutter_(company)


easy: take a thousand pictures of each photo with your cell phone, adding some variation, use as training data for a CNN, tweet result to @boredyannlecun for debugging, decide to take an uber instead of buying a car on ebay


He is at Facebook now


Geez, I wonder what the offers these notable researchers are getting.


I for one disapprove


What's the difference between neural networks and deep learning? In my understanding deep learning involves simply multi-layered neural networks.


People don't always use concepts with the exact same definitions in mind. I sometimes interchange between deep learning and neural networks without thinking about it (even though I probably shouldn't).

Generally speaking, neural networks is a very specific type of algorithm. It's been around since the 80s, with the most interesting changes since then being faster computers and more data.

Usually, when I hear people say deep learning, they mean one of three thing: Sometimes they mean more specific types of deep (= more layers) neural networks, sometimes a more general class of algorithms (out of which NN are probably the most important by far) or sometimes they're using a meaningless buzzword because it's trending...

I know it's uncool, but the Wikipedia article on Deep Learning is actually quite a useful read to get a sense of the jargon and what everything means...


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