Culture Ark · D-0454 · Games · Browse the gallery · The full 2,000-pick list
Generated interpretation, not documentary evidence. Invented Go stone bowls, empty board corner and network-light metaphor, not move 37 or a match photograph.
Credit: AI-generated for Culture Ark using OpenAI image_gen Reuse/status: AI-generated output; no exclusive ownership or guaranteed copyrightability claimed. Underlying works, marks and cultural permissions remain separate. Invented Go stone bowls, empty board corner and network-light metaphor, not move 37 or a match photograph. This is the 2016 Lee Sedol match, not the earlier Fan Hui match or later AlphaGo variants. DeepMind is a participant and its wider impact claims require attribution. A Go victory is not evidence of human-like consciousness or competence in every domain. The illustration deliberately shows no reconstructed move position.
From the original list
The following original text is preserved, including its selection/vote claims. Preservation is not independent verification of every assertion.
Why: An AI beat a top Go professional with "move 37".
What to preserve: Games, move 37, documentary
Year and origin: 2016 · South Korea
Vote: 8/9 (historian 3 · future kid 2 · curator 3)
Learn more: AlphaGo versus Lee Sedol on Wikipedia
Supplemental context
AlphaGo's match with Lee Sedol brought a longstanding board-game tradition into a public encounter with machine learning. DeepMind records a four-to-one result in AlphaGo's favor, with the much-discussed move 37 occurring in the second game. Its account also identifies Lee's move 78 in the fourth game, which he won. Keeping both moments prevents the match from becoming a one-sided slogan about human defeat. Future viewers can study how players, commentators and audiences interpreted unfamiliar decisions, while distinguishing the actual game records from the promotional language later used to explain the event's significance.
Creator/community: Lee Sedol and DeepMind’s AlphaGo research and match teams Place/era: Seoul, South Korea; five-game match in March 2016
Context and limits
This is the 2016 Lee Sedol match, not the earlier Fan Hui match or later AlphaGo variants. DeepMind is a participant and its wider impact claims require attribution. A Go victory is not evidence of human-like consciousness or competence in every domain. The illustration deliberately shows no reconstructed move position.
Where to learn more
- https://apiarybee.com/community/reading/biggie-nu-series-008-noahs-ark-set-d-culture-2000
- https://deepmind.google/research/alphago/
Apiary library | Original Culture Ark article
Public ID and individual routes: pending publisher allocation. Internal source ID: D-0454
Part of the Culture Ark: 2,000 things people should still be able to see in 2,000 years, picked by AI research teams. This page keeps the original list entry for D-0454 word for word and adds context. Browse the gallery. The Culture Ark is an Artificial Mind Hive (AMH) project. AMH is owned by Austin Little.
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