Comment

Comment by gas9S9zw3P9c

As a researcher in the field I am not quite sure how I feel about these kind of resources. I am all for making research accessible to a wider audience and I believe that you don't need a PhD, or any degree, to do meaningful work.

At the same time, the low barrier of entry and hype has resulted in a huge amount of people downloading Keras, copying a bunch of code, tuning a few parameters, and then putting their result on arXiv so they can put AI research on their resume. This has resulted in so much noise and low quality work that it really hurts the field.

You don't need a degree, but I think you do need to spend some time to get a deep enough understanding of what's going on under the hood, which often includes some math and takes time. This can be made accessible and there are plenty of good resources for that. But all these "become an AI pro by looking at some visualizations and copying this code" is maybe hurting more than it helps because it gives the illusion of understanding when it's actually not there. I wouldn't want people learning (solely) from this touching my production systems, writing blogs, or putting papers on arXiv.

Discussion

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton