alt Hacker NewsYou sometimes hear people say "I mean, we can't just give an AI a bunch of money/important decisions and expect it to do ok" but this is already happening and has been for years.
Examples:
- Algorithmic trading: I once embedded on an Options trading desk. The head of desk mentioned that he didn't really know what the PnL was during trading hours b/c the swings were so big that only the computer algos knew if the decisions were correct.
- Autopilot: planes can now land themselves to an accuracy that is so precise that the front landing gear wheels "thud" as they go over the runway center markers.
and this has been true for at least 10 years.
In other words, if the above is possible then we are not far off from some kind of "expert system" that runs a business unit (which may be all robots or a mix of robots and people).
A great example of this is here: https://marshallbrain.com/manna1
EDIT: fixed some typos/left out words
Replies
> A great example of this is here: https://marshallbrain.com/manna1
This is a piece of science fiction and has its own (inaccurate, IMO) view on how minimum wage McDonald's employees would react to a robot manager. Extrapolating this to real life is naive at best.
But none of those things are AI in the same sense that we use the term now, to refer to LLMs.
I'm saying there's something structurally different form autonomous systems generally and from an LLM corpus which has all of the information in one place and at least in theory extractable by one user.
I must say that the book is unrealistic, but it makes a good sci-fi story. Thanks, I read it just now in 80 min.
You gave examples of feedback loops.
We know very well how to train computers to handle those effectively.
Anything without quick feedback is much more difficult to do this way.