Dave, in the session you described that there were only 4 races out of 16 where you used the 88. So if the 88 is so important, I'm not clear as to what you are doing in the other 12 races. It seems that in those cases you are using the 88 to determine that we should not be using the 88 due to that particular race structure. Is that correct? I think I need a better understanding of "race structure". — Jeff Capper
This is why I look for a single to wager - it keeps costs down and I can still make a little bit of money if all D horses come in. — Bill Rudnicki
You will have the remaining horses recalculated
as-if the d and L were never in the race. Unmarking
and recalculating does not remove them. Their numbers
are still lurking. — ponyplayer
Question:
We can unclick the d and L before we Fire Core AI. Does that produce the same result as marking and removing them? Or are they lurking in the background and therefore messing up the "new race"? — Dale Oldham
What I am certain of is that my of top 4 contenders 1 is winning 78% of the time . What I think is going wrong is that I am unable to narrow them to one or two contenders some are won by class or early pace combining low and high neal so I need some help narrowing down the contenders to the winners — Ira Yorn

Also, and this is kind of a strange idea...
Do you know the paper, Attention is all you need? Well the way they keep words from inflating themselves to the detriment of the whole, is they require each matrix row to sum to 1. Words are still typically more attuned to themselves than the rest of the words in the array/sentence, but they are attentive enough to the words around them that there is meaning. Have you tried a mathematical approach in that manner with your genetic style algorithms that are limiting their guesses to "game" the rules? I wonder if there is a linear algebraic solution to your issue. — Daniel Boals
I take it you are using your own neural network in DET? I know you have experience with neural networks going back years, and when you started this project, there really weren't any open LLMs like we have today. I am no expert, but it seems like the neural nets in DeepSeek and Alibaba's Qwen are both pretty good and they have resources to train that you probably can't get without a billion dollar investment. Have you thought about using one of their models to check your DET? The new Qwen 3.6 29b is supposed to be really good. It is a dense model and it seems like what your are doing is more of a MoE, but then they do have Qwen 3.6 35b which is a MoE style logic under the hood. — Daniel Boals
...but it seems like the neural nets in DeepSeek and Alibaba's Qwen are both pretty good and they have resources to train that you probably can't get without a billion dollar investment.
Yes, races #10 and #11 from last year. GPX only had 9 races today. They usually then card a few races from I believe Argentina. Looks like maybe they thought there were 11 races today, but the last two (2) were from Argentina, not GPX. — Jim Pommier
