Transmission lines are great for moving electricity, but only if there's demand for that electricity _right now_. Otherwise, you have to store it - which is a problem, because battery tech right now isn't great (or rather, it's not good enough for grid-scale requirements) . This iron powder could be thought of as a "battery". It might be harder to move than compared to a transmission line, but it's _stored_ energy and can be redeemed at a later time.

Me personally: I appreciate the simplicity of it. It's a great language for working with in a team. I wish it was more functional, and had better ways to handle errors, but the simplicity of it all was a breath of fresh air using it in a working environment.

This solution... doesn't prohibit hallucinations? As far as I can tell it only makes them less likely. The AI is still totally capable of hallucinating, it's just less likely to hallucinate an answer to _question X_ if the query includes data that has the answer.

I've been thinking that it might be useful if you could actually _remove_ all the stored facts that the LLM has inside of it. I believe that an LLM that didn't natively know a whole bunch of random trivia facts, didn't know basic math, didn't know much about anything _except_ what was put into the initial query would be valuable. The AI can't hallucinate anything if it doesn't know anything to hallucinate.

How you achieve this practically I have no clue. I'm not sure it's even possible to remove the knowledge that 1+1=2 without removing the knowledge of how to write a python script one could execute to figure it out.