Overview
AlphaZero is Google DeepMind’s general game-playing system that learned chess, shogi and Go through self-play, without relying on human game records in the same way as earlier systems.
Timeline
Timeline awaiting proof based expansion.
AlphaZero is Google DeepMind’s general game-playing system that learned chess, shogi and Go through self-play, without relying on human game records in the same way as earlier systems.
AlphaZero is Google DeepMind’s general game-playing system that learned chess, shogi and Go through self-play, without relying on human game records in the same way as earlier systems.
Timeline awaiting proof based expansion.
Structured historical ai system record for AlphaZero. The technical layer identifies the entity type, classification, creator or organization, source anchors, timeline entries, capabilities, limitations, registry status and relationship targets. Primary source anchor: https://deepmind.google/discover/blog/alphazero-shedding-new-light-on-chess-shogi-and-go/.
Google DeepMind is the primary organization or public context associated with AlphaZero.
Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00000258",
"name": "AlphaZero",
"alternateName": [],
"additionalType": "Historical AI System",
"description": "AlphaZero is Google DeepMind’s general game-playing system that learned chess, shogi and Go through self-play, without relying on human game records in the same way as earlier systems.",
"creator": "Google DeepMind",
"url": "entity.php?id=ENT-00000258",
"sameAs": "https://deepmind.google/discover/blog/alphazero-shedding-new-light-on-chess-shogi-and-go/",
"lxkeysWorld": {
"classification": "Historical AI System",
"organization": "Google DeepMind",
"originContext": "Public AI and cultural record",
"firstPublicAppearance": "",
"currentStatus": "Historical record",
"registryStatus": "Documented",
"spatiumIndex": {
"total": 67,
"documentation": 22,
"evidence": 13,
"structure": 21,
"relationships": 11,
"level": "Level IV — Connected"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-16T00:00:00+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"updated_utc": "2026-06-16T00:00:00+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"reviewed_utc": "2026-06-16T00:00:00+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
},
"capabilities": [
"research milestone",
"historical reference",
"methodological influence",
"AI history documentation"
],
"limitations": [
"This record summarizes a public entity and should be extended through source review when deeper technical or historical detail is required.",
"Capabilities depend on the documented product, model, research system or cultural source context.",
"The record should preserve source based claims and avoid unsupported functional assertions."
],
"tags": [
"Historical AI",
"Research",
"Historical AI System"
],
"timeline": [],
"relationships": [
{
"target": "Google DeepMind",
"type": "Organization Context",
"description": "Google DeepMind is the primary organization or public context associated with AlphaZero.",
"evidence_level": "documentary"
}
],
"sources": [
{
"label": "AlphaZero official/reference source",
"url": "https://deepmind.google/discover/blog/alphazero-shedding-new-light-on-chess-shogi-and-go/",
"source_type": "Official Source",
"verification_status": "verified"
}
]
}
}Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.
Submit proof or commentNo approved public comment yet.