I'm honestly confused as to why it is doing this and why it thinks I'm right when I tell it that it is incorrect.
I've tried asking it factual information, and it asserts that it's incorrect but it will definitely hallucinate questions like the above.
You'd think the reasoning would nail that and most of the chain-of-thought systems I've worked on would have fixed this by asking it if the resulting answer was correct.
> If you're ever in a situation similar to this, run as fast and as far as you can.
I really really want to underscore this point.
You're literally standing on top of ground and under that is boiling water.
If that breaks and you fall in you're going to be in boiling water with no way to get out and you will die screaming.
Also NEVER walk on ground that has no vegetation. If you look around a geyser you will see that the ground is white and has no vegetation. That's because the temperature is too high and it has water under it that's heating the ground.
Walk on that and there's a chance you will fall in.
In the back country there are no fences so you can fall right through the crust.
There must be a relationship here between Shannon's estimation that english is 1 bit of entropy per character and is highly redundant and 'easy' to predict.
A highly advanced AI could compress the text and predict the next sequences easily.
This seems like a direct connection like electricity and magnetism.
And maybe that's why English needs to be about 1 bit because we're not very intelligent.
In the 2000s I was addicted to Elisp and contributed a ton of OSS code including JDE, EDEE, and tons of other tools.
But... I had just a MASSIVE amount of code that was literally just for me.
Emacs basically became my OS.
Emacs allowed you to just eval code on the fly and the IDE would just adapt. No reload required. So if you wanted to do stupid stuff like make control+enter open the current URL at the cursor, you just write a three line script. Then you add it to your elisp on load.
... but mine got WAY out of hand. It was just mountains of code.