Yeah, there were a couple of things that struck me as either interesting or telling about the video. There is a novelty regarding the lack of editing, the unselfconsciousness of the audience, and the humility with which the project of *being* a value network was approached. The video is a welcome respite from the overwhelming number of highly polished video essays that dominate YouTube.
I arrived at this video while watching some professional go games on NHK (Thank you Jonathan Hop for your closed-captioned translations!) At work, factions are almost completely polarized into anti-AI and pro-AI stances. Each placing bets to see what pay-off to the sciences AI will ultimately have. In the meantime, I am impressed by certain progressive attitudes toward AI that we see in gaming communities. While I know that you (EricC) can contribute quite a bit about the impact of AI analysis in poker, I mostly understand the impact on the go community. There, and at the risk of saying something ugly, I see a parallel to the wholesale adoption of western style-thinking in Japan post the atomic bombs of 1945. Professional games and analyses today are heavily influenced by the discoveries of AlphaGo. The live commentaries make explicit reference when a player does something classical (pre-2016), before playing out variations more indicative of the new style. "Yeah, players once thought that the center wasn't that big, but now we see with AlphaGo that this isn't the case" or "It seems that invading at the 3-3 point early is bigger than we once thought" or "Yes, this is one of the new josekis (corner patterns giving an even result) *discovered* by AlphaGo"... There is a sense that the AI is a kind of telescope, allowing players to see more *deeply* into the universe of go. In the video, we see yet another variant of this kind of thinking. There, the lecturer discusses how DeepMind went about factoring their bot into a collaborative (rather than adversarial) pair: a policy network (a kind of navigator suggesting possible local strategies) and a value network (the pilot who ultimately determines the course). Then the lecturer discusses how this network was trained before inviting the audience to train their *value networks* like AlphaGo does. Interesting stuff.
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