The attitude of companies like Facebook, Google, Twitter is: if the product isn't addictive or useful to Billions of people, its not worth doing.
Hence there are vastly more resources dedicated to assimilating eg photos and games into their ecosystem, than into something computationally innovative.
This is IMHO a huge mistake, since they could instead be introducing simple forms of programming that takes you on a continuous curve from using the product, to developing for it. There is a huge hunger in the masses for better forms of programming.
This point will probably become obvious if the Wolfram Language is successful.
I'm sure Facebook's Data Science team does a lot of interesting things internally. They do in fact have some interesting papers [0] and [1], though obviously with more of an 'academic' feel than the blog post.
Hence there are vastly more resources dedicated to assimilating eg photos and games into their ecosystem, than into something computationally innovative.
This is IMHO a huge mistake, since they could instead be introducing simple forms of programming that takes you on a continuous curve from using the product, to developing for it. There is a huge hunger in the masses for better forms of programming.
This point will probably become obvious if the Wolfram Language is successful.