regarding AI, i think AI is useful for work, but useless/ impractical for thoughts, comments on blogs etc
Oh yes, the dreaded embarrassment of losing to a lower rated player. There are 2 incidents I still remember because the winning opponents still brag about winning even though they have never won again since they are actually much weaker. In both separate cases I was playing while distracted with other things and not taking my opponent seriously. After the 2nd time of this happening, I finally learned to pay attention to ALL opponents so that if someone wins, at least it was a good game and not because of my silly blunders.
@Letpchess said in #22:
> Oh yes, the dreaded embarrassment of losing to a lower rated player. There are 2 incidents I still remember because the winning opponents still brag about winning even though they have never won again since they are actually much weaker. In both separate cases I was playing while distracted with other things and not taking my opponent seriously. After the 2nd time of this happening, I finally learned to pay attention to ALL opponents so that if someone wins, at least it was a good game and not because of my silly blunders.
Yes, our coach tells us to be extra careful against lower rated opponents
@amg0705 said in #23:
> Yes, our coach tells us to be extra careful against lower rated opponents
Good tip! They have nothing to lose and everything to gain!
@Letpchess said in #24:
> Good tip! They have nothing to lose and everything to gain!
In that line, they might be exploring more of chess. They have more to learn, and so in their wandering they might hit the unfamiliar spots of the higher rated (average of big chess so far via sampling the population of opponents they have had in their pool).
For them lose or win, is still a win on the long arc of learning.
@dboing said in #25:
> In that line, they might be exploring more of chess. They have more to learn, and so in their wandering they might hit the unfamiliar spots of the higher rated (average of big chess so far via sampling the population of opponents they have had in their pool).
>
> For them lose or win, is still a win on the long arc of learning.
Yes, I agree
L'IA ne ne sait pas dessiner un échiquier
@BlueCrow said in #27:
> L'IA ne ne sait pas dessiner un échiquier
can you kindly translate to english
We can find important and nice informations in this blog