Verified claim · AI-ML · 100% confidence
AlphaGo defeated: Lee Sedol 4-1 in March 2016.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 0318700337f0906d
Structured fields
- Subject
- AlphaGo
- Predicate
defeated- Object
- Lee Sedol 4-1 in March 2016
- Confidence
- 100%
- Tags
- alphago · deepmind · reinforcement-learning · lee-sedol · foundational · 2016 · defeated
Sources (2)
[1] peer reviewed · Nature (Silver et al. / DeepMind) · 2016-01-27
Mastering the game of Go with deep neural networks and tree search“Here we introduce a new approach to computer Go that uses 'value networks' to evaluate board positions and 'policy networks' to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play.”
[2] official blog · Google DeepMind · 2016-03-15
AlphaGo — DeepMind“In a landmark moment for artificial intelligence, AlphaGo took on 18-time world champion Lee Sedol in a five-game challenge match in Seoul. AlphaGo won the series 4-1.”
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curl https://sourcescore.org/api/v1/claims/0318700337f0906d.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/0318700337f0906d.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "AlphaGo defeated: Lee Sedol 4-1 in March 2016."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/0318700337f0906d.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "AlphaGo defeated: Lee Sedol 4-1 in March 2016."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_alphago_fact() -> dict:
"""Fetch the verified SourceScore claim for AlphaGo."""
r = httpx.get("https://sourcescore.org/api/v1/claims/0318700337f0906d.json")
return r.json()