My name is Frank de Groot.

In the early noughties, I showed that Bayesian pattern learning works surprisingly well to predict the played moves in 42% of positions of previously untrained-for professional Go games. I published my algorithm in great detail, as well as all essential info on its technical details and speedup techniques (Mersenne Twister random, Zobrist hashing, Hamming distance, MMX assembly speedups etc.). Microsoft Research Cambridge, requested to do so by Bill Gates himself still needed three years with a team of three to replicate my algorithm and after they published their paper, Google asked me to come work with them.

My Machine Learning software for the game of Go (2005)
Download it for free (317 MB) at http://moyogo.com/MoyoGoStudio.zip

DeepMind then spent ten years, integrating my work into their plausible-move generator for AlphaGo and Tore Graepel, the team lead for Microsoft’s team that replicated my work, became its CTO. Corroborating details of my story are here.
I was ostracized from the computer Go world while others took credit.

I now work full-time, the “good old-fashioned way” on General AI, working on a purely text-based system. This is my R&D machine, standing in its own cold, noisy airconditioned storage room into which I remote with AnyDesk:

128 EPYC cores, 2 TB RAM, 400 TB in 3 x RAID6, dual UPS, 16-tape library. Airconditioned.