Wow what a surprise from old tactical monster! From read.me:
About 16 years ago I lost the desire to play chess and since then I
have neither played a tournament game nor dealt with chess programming.
Until a few weeks ago, I didn't even know who or what Stockfish was or
what the name of the reigning (human) World Chess Champion was.
By chance, I became aware of Stockfish and NNUE in the course of my
professional work and involvement with neural networks. Here I
recognised certain parallels to my own attempts around the turn of the
millennium to control the search function of chess programmes by using
neural networks, i.e. to simulate human thinking, so to speak (only the
promising variants are then further investigated by a classical A/B
search). The results at the time were mixed. While solutions were found
in seconds in individual positions (for which a normal search would
have taken days), the approach failed in the practical game due to
insufficient coverage of relevant patterns. According to my estimation
at the time (based on the evaluation of several million games), there
were around 10,000 of these. Generating the networks took a lot of time.
Even the smallest additions or necessary changes took days of computing
power. In the end, I had only integrated about 20% of the patterns into
the net and, in view of the calculations that were still necessary, I
gave up in frustration and postponed everything until a later date. I
had not expected it to take 16 years. Actually, I didn't expect to ever
take up chess again (I loved the game and was a tournament player with
almost 2300 ELO). As far as I can tell, hardly anything has changed in
the last 16 years in terms of programming (in the sense of new search
techniques, apart from NNUE), even if the programmes (above all
Stockfish) have become enormously powerful due to excessive fine-tuning.
Now I want to revisit the topic, since the necessary fast hardware is
also available nowadays.
No new search techniques? He missed AlphaZero/lc0/a0lite.
Fat Titz by Stockfish, the engine with the bodaciously big net. Remember: size matters. If you want to learn more about this engine just google for "Fat Titz".