The Unreasonable Effectiveness of Deep Learning on Spark
databricks.com
databricks.com
As an example, there was a discussion a little while back about self-driving cars and the implications for the OTR trucking industry, a change that is likely to spell the end of OTR driving as a career path. With exceptions, the general response was "Oh well, sucks to be those guys. They should learn to code.". This kind of entitled response is typical whenever loss of jobs due to automation is discussed. Usually followed up with assertions that this merely frees up labor to pursue other opportunities in the broader economy, ignoring the fact that all too often these "new opportunities" are a McJob of some kind.
I would normally flag this as being April Fool's Day nonsense, but I like the idea too much. The title is an homage a karpathy blog post that demonstrated how an RNN could write code that didn't necessarily compile, but looked reasonable. It would be pretty cool if someone took that and tried to develop it into something, though the StackOverflow bit might have been a bit much.
Sooner or later one of these April Fool's Day things is going to turn into a serious project.
Pretty amusing, and not a bad parody of ML/technical blog posts, though.