This doesn't seem to be the same person as The Great Carlini from the Coffee Chess youtube channel, but that's ok, the hacking he did on these chess engines was interesting and he seems to know what he's doing.

I'd have liked to see a backport of something more like Leela, i.e. more human-like evaluation with less search. Leela's neural net is bigger than Stockfish's NNUE but it's slower and static. I heard years ago that Leela searching 35 nodes per move was around equal to a human GM, and it should be much better now that they've redone Leela's NN architecture. My 4-core i5-3570S ran Leela at around 40 nodes/second but I unfortunately don't remember if that used all 4 cores or just one (Leela normally runs on a GPU at 1000s of nps). If the i5 is 100x faster than Carlini's Pentium Pro then that means around 0.4 nps, putting it above GM strength at classical time controls of around 2 minutes per move.