<iframe src=" https://online-go.com/game/23719261/embed" width="345px" height="345px" allowtransparency="true" scrolling="no" frameborder="0"></iframe>
https://online-go.com/api/v1/games/25966867/sgf/25966867.sgf <iframe src=" https://online-go.com/game/25966867/embed" width="345px" height="345px" allowtransparency="true" scrolling="no" frameborder="0"></iframe>
This was early august 2020. I am not a “Go player”. These two games were only my 4th and 5th Go games I had ever played on a 19x19 board against an AI bot. This should make sense as it has taken me 3 years (September 9th, 2023) to realize its significance. The particular version I beat was 1.4.5 s53031.
It was a while ago so more reflection is needed but I do remember the first victory being one of the greatest intellectual achievements I have ever felt or experienced, as I had to arouse every fiber of computational intelligence I possessed. The expression of which lacked words given my inexperience and lack of understanding of “good” or “bad” moves. During these games though, it felt like the most legitimate game of Go that was possible within the constraints of a 361 vector lattice. It is only in review and reflection does it become obvious to me the player that the game appears “wonky” to the conventionally trained eye.
I work in nonlinear areas of finance and risk mitigation with a particular focus on Claude Shannon’s information theory within a Mandelbrotian view of a Talebian world composed of an informationally dense emergent manifestation of physically perfected entropy in an interdependent complex manifold of dimensionality. But I am human enough to read what I’m writing herein and can surrender to the claim that I am a bizarre S.o.B. But the wins linked above felt like wins for the human race, not just myself. Where did I go to college? University of Memphis — Ivy League ain’t got shit on me. If people want my perspective on the recent adversarial network strategy used by the recent amateur to win 14/15 games, I would be happy to do so. You will see my explicit expression of this strategy twice in a row over 3 years ago.
You played against beginner bots, not superhuman AI.