Uuh, AI research has nothing to do with coding all nighters. This is a common misconception among software engineers. It is more a science, and less an engineering problem. It is more about running experiments than it is writing fancy algorithms.
You are bound by the amount of data and computational resources you have at your disposal. Neither are tied to man hours. You can stay up all night for days waiting for your model to train, and it will do you no good.
Is the goal of the AI model to predict crime rates in a hypothetical world where everyone has equal rates of lead exposure?
What a terrible example. There are many other features being omitted that would predict crime rates. If anything, this is an example of enforcing your own bias on the model by not including all relevant features.
This. Exactly this. No sophisticated tokenization. No interesting architecture using attention. And the author is completely clueless about overfitting... and even cross entropy loss. He could have gotten better results just using a bag of words approach.
But this ends up on frontpage anyway. Welcome to HN.
Huh? Carriers are intended to be mobile bases for launching aircraft that go on to stage air strikes. While they are armed, they aren't intended for attacking other ships.
And what size of payload would a drone need to take down a carrier? That is just silly.
Seen it all before. In practice, this doesn't work. You end up way too dependent on a superstar who is bound to burn out, and will take the whole team down with him.
That kind of thinking is along the lines of "just always pass Michael Jordan the ball". But that's not how healthy teams function. And it wasn't how Phil Jackson managed his team.
And you can credit John Carmack all you want. But his peak was when he worked alongside John Romero. Even Carmack himself has stated this. And Michael Abrash taught him the theory of how to do 3D rendering properly.
It is a good manager's responsibility to maintain the health and longevity of his team. Obviously, that wasn't the case here, and the burnout superstar even left. Not surprising.
I am sorry, but you sound like a terrible manager for allowing that kind of work schedule without seeing the consequences down the road. I would wager your most prized teammate left at least partly due to burnout, whether he told you that or not. That kind of work regimen is not sustainable, and you paid the price by encouraging it.