M2M Day 378: It works!
This post is part of Month to Master, a 12-month accelerated learning project. For October, my goal is to defeat world champion Magnus Carlsen at a game of chess.
Today, I finished the first version of my chess algorithm, allowing me to play a solid game of chess as a human chess computer. The algorithm is ~94% accurate, which may be sufficient.
Here’s a ten-minute video, where I explain the algorithm and use it to analyze a chess game on Chess.com that I recently played:
(Update: This is the game I played against Magnus, which I later revealed)
I’m excited that it works, and curious to see how much farther I can take it.
The next steps would be to determine the chess rating of the algorithm, play some assisted games with it to see how I do, and then, assuming it’s working as expected, see if I can optimize it further (to minimize the amount of required memorization).
It’s looking like Max Chess may actually become a reality…
Read the next post. Read the previous post.
