To be honest, I'm not as excited as I was 6-7 years ago when our tech industry seen a big leap, where these ML/Deep Learning algorithms were out performing humans, Apache Spark out perfomed Hadoop in distributed computing, Docker/Kubernetes are the new phenomenon in software development and delivery, Microservices architecture, ReactJS virtual DOM concepts were so cool.

Really though, I've come realise that these software trends come and go. All you need to do is adapt and go with the flow.

I dun goofed

made a neural net that runs against a simulation. Wanted to run it overnight to get some meanigful stats and insights

But yesterday afternoon I changed something in the simulation and ofc tested it without the nn ... and then forgot to put it back on
So while I expected to come in today and start plotting and analyzing the data while the runs finish, in reality I'm sitting here on a lot of useless data, not knowing what to do.

I kinda want to just start it again and go home

!rant One of the better refactoring insights I've heard today: "With great power comes great responsibility".

Just because a language may not care about certain constructs, doesn't mean you should be relaxed about them (e.g. weak/dynamic typing/not caring about (variable name) consistency).

As someone who doesn't know coding or the stuff everyone deals with I feel confused. Aye the insights good tho.