Your line is wrong
In 30...Qb5 31.Qf3 Kg7 32.Rxe6?? is a mistake.
correct is 32.e5 Qxa6 33.Qxf6+ Kh6 34.g5+ Kh5 35.Qf3+ Kh4
and white can choose between 36.Qe4+ Kh5 37.h3 and 36.h3
Moderator: Ras
Your line is wrong
I only placed pgn in front of the first line enclosed with Brackets so the diagram can be shown as requested by Edward
So I think no wonder that Eduard would be disappointed, the builders of this net throw out all the 'good testpositions' with this, singular or critical positions where there is only one good move. So you have to rely totally on your search for those but apparently they are so atypical that it just confuses the net building? I have no real explanation. It is just like throwing out all tactical positions apparently that works too.Created by retraining the master net on a dataset composed of:
* Most of the previous best dataset filtered to remove positions likely having only one good move
* Adding training data from Leela T77 dec2021 rescored with 16tb of 7-piece tablebases
But the search means that positions many ply deeper are evaluated. Generally, you don’t want to train on positions that poorly predict game outcome. So, for example, anything that would get swept up in a qsearch makes for poor training data. But qsearch is expensive, so lots of heuristics have to be tried. The Stockfish team has been experimenting with all manner of filtering. At least for some time, this will be the way forward.Eelco de Groot wrote: ↑Mon Feb 13, 2023 10:51 pm I read here https://github.com/official-stockfish/S ... 3f680e0677
So I think no wonder that Eduard would be disappointed, the builders of this net throw out all the 'good testpositions' with this, singular or critical positions where there is only one good move. So you have to rely totally on your search for those but apparently they are so atypical that it just confuses the net building? I have no real explanation. It is just like throwing out all tactical positions apparently that works too.Created by retraining the master net on a dataset composed of:
* Most of the previous best dataset filtered to remove positions likely having only one good move
* Adding training data from Leela T77 dec2021 rescored with 16tb of 7-piece tablebases
You willingly deny facts and then ask us to provide more facts. How do we know the new facts will not be denied, too?Eduard wrote: ↑Tue Feb 14, 2023 8:12 am There are now 6 new nets from Linrock. And each network is said to be better than the previous network. That's a lot of elos. But: Can someone show me where the progress is based on practical positions? What can the new network do better than the old one (before Linrock)? I can not find it.
dangi12012 wrote:No one wants to touch anything you have posted. That proves you now have negative reputations since everyone knows already you are a forum troll.
Maybe you copied your stockfish commits from someone else too?
I will look into that.
Then start developing and contributing, not renaming the engine and editing your name into it.
It has been known since forever that engine progress cannot be measured on single positions. You need to play games, MANY MANY games.
I agree that you need to play many games to measure progress but