Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Ah, you're a docker zealot. I misread the joke.

You had a flash of self-awareness. Docker containers take massive amounts of disk space, and you need arcane knowledge just to use them. I'd rather focus on doing ML, not learning docker. In other words, "I'm getting to old for this." (33 is up there.)

It bugged me in the game industry when some old programmer said "shaders are a young person's game," implying that they wouldn't even look into how they worked. Now that I am that older programmer, or getting there, I see what they mean. Docker arcana is a young person’s game.

If Docker solved the reproducibility crisis, you might have a point. But it doesn't. Most of the crisis is the fact that (a) datasets are trapped behind institutions that won't make them available, (b) the models themselves aren't made available (OpenAI), and (c) the code itself isn't available (also OpenAI).

Those three things are the main problem. Forcing everyone to use a 30GB docker container just to do basic ML isn't going to do anything but waste time and turn newbies away from ML.

You're a fine debator though. It was an enjoyable read; have an upvote.



Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: