No, you just needed to be less dismissive. The words ludricous and impossible are too absolute.It magic. It's a McGuffin, and I'm stupid for carrying on with this conversation.
No, you just needed to be less dismissive. The words ludricous and impossible are too absolute.It magic. It's a McGuffin, and I'm stupid for carrying on with this conversation.
Well your entire argument has been, "In future we'll have invented stuff to make this all possible."No, you just needed to be less dismissive. The words ludricous and impossible are too absolute.
You just wanted to share your 24,000th post with me.Well your entire argument has been, "In future we'll have invented stuff to make this all possible."
So yeah, I'm an idiot. But only for keeping this conversation going![]()
I expect FoxEye to dig into an analogy but not you.
But ok. I didn't say Genghis Khan died. Nor that he didn't sleep with the same women he did in the other universe. Wanna continue?
I need any example to understand what overfitting is because it's a new word to me. Is this what you forum boys do to make your arguments work or something?
Any opportunity to run away huh?"overfitting"....
There is no overfit. There is simulate, simulate, and keep simulating some more til you get consistent results. No need to fit,
Again, the AI has access to the modern world. That is the "curve" to "fit"simulating till you get consistent results - and how do you measure whether you've got consistent results... you're essentially talking about fitting the model...
Again, the AI has access to the modern world. That is the "curve" to "fit"
I didn't know what overfitting was because I've never had to fudge results. And your usage of it was even less clear since we were not talking about data points. I saw you try using an XY graph analogy on page 3 (4?) and was glad you didn't latch on to that.Yes, even assuming that, the issue is still there... Given you've only just found out what overfitting is then.....
I didn't know what overfitting was because I've never had to fudge results. And your usage of it was even less clear since we were not talking about data points. I saw you try using an XY graph analogy on page 3 (4?) and was glad you didn't latch on to that.
Do you wanna continue this discussion in the equivalent of 2D charts? Can try if that suits you better.
Filled in the bits you chopped off my quote. The bits that came after you were called out. Carbon copy response of you not admitting being wrong in my previous call outs.How are we not when you said:
"FYI in the context of "mathematical" overfitting which I must assume you are referring to: no. There is no overfit. There is simulate, simulate, and keep simulating some more til you get consistent results. No need to fit,"
Anyone who gives a **** can read the thread and help you out. Otherwise, grab a counsellor.What exactly am I lying about?
Not sure how many times I referred to this during the thread but I did it a lot. The way to measure consistency between simulations is convergence.You’ve not answered the question - how do you measure consistency?
Anyone who gives a **** can read the thread and help you out. Otherwise, grab a counsellor.
Not sure how many times I referred to this during the thread but I did it a lot. The way to measure consistency between simulations is convergence.
zzzZZZZZRight... and how do you do that without data? What are you measuring?
zzzZZZZZ
Convergence is the difference between simulation outputs
(mentioned many times)
Well it's up to the AI, but I'm sure it would get rid of all the lying, unproductive, manipulators in it's sphere of influence first.That’s vague... the point is your simulation needs to reflect reality right, how do you make sure that is the case?
We're back nowhere.See this is the issue, it’s going to need to make observations of some form... so we’re back to where we were a few posts back.