David J Wu

Okay cool. In that case, take a look at https://github.com/lightvector/KataGo/blob/master/python/play.py - this is working code to load a neural net from python and query it based on a board position....

The b18 network uses a much better architecture. Each block of the b18 has many more layers, so in many ways it is similar to a 36 block network of...

Cool, thanks for the report. :)

I would also recommend using a newer neural net. "g170-b30c320x2-s4824661760-d1229536699.bin.gz " is very old and likely much worse than the current 18b net at https://katagotraining.org/networks/ so if you want better...

"maxVariationsForEachMove" is not a parameter in KataGo, and I don't think the values given to you by bard are likely to have any meaningful use (bard is probably hallucinating and...

Yes, when you have such extreme positions, neural nets often don't behave that well. I don't think it's a problem with just the "current structure", it's a challenge with this...

If you do that, you will probably just end up with a bot has exactly the same huge misevaluations as before, except all you have to do is change the...

Solving this problem by manually providing training examples is probably easier anyways! Instead of doing complicated code changes that require new versions and releases and such, all you have to...

I think that's not the best way to think about it. Diagnosing the problem as having to do with the relationship between "surrounding allies and enemies" is important for life...

Yes, but it's not true that bots "want" to avoid learning the rules. It's simply an unsolved problem in the field of machine learning research - even the best researchers...