Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return.

“surprising”.

The post highlights the various tips and tricks to learning machine learning with elixir. It goes through the difference between python and elixir for various steps in machine learning.

I’m Alice, a technical AI safety writer. I write the ML Safety Newsletter and my personal writing is on LessWrong. I have a background in technical ML, but pivoted to communications because I think this is where I can do the most good.

Very interesting way to avoid using Python. As a Python-hater myself, I appreciate this greatly.

Considering that ML is a pretty important field, and will continue to be going into the future, this is an option I have to keep my eye on.

This is really fascinating. Something to note is that the sample size is narrow focused on experienced developers with particular famous open source projects (average 5 years and 1,500 commits on the project in question).

In my own job I also have a novel, long-term situation so I can really sympathize with the prime slowdowns they identify. AI just doesn’t cut it.

We need to patch the bugs in market capitalism (or replace capitalism entirely) before we use AI.

But we need to fix these issues even if we never use AI. The problems not only are wholly extrinsic to AI, they predated AI to an already urgent level.