TRV-2026-0083Version 2 · Retracted
Reason for this version
Model backfill: source did not support a publishable AI-impact claim
Canonical text (the exact bytes fingerprinted)
TRUVACE RECORD VERSION record: TRV-2026-0083 version: 2 kind: retracted reason: Model backfill: source did not support a publishable AI-impact claim timestamp: 2026-07-13T00:34:06.797072Z status: archived lens: trace sector: sports headline: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle dek: We are all suckers for a good story. And there was certainly a cracking two‑parter at Wimbledon this year. First came the news that 300 line judges had been replaced by artificial intelligence robots. Then, a few days later, it turned out there were some embarrassing gremlins in the machine. Not since Roger Federer hung up his Wilson racket has there been a sweeter spot hit during the Wimbledon fortnight. First the new electronic line-judging system failed to spot that Sonay Kartal had whacked a ball long during he gain_title: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle: Another study in Norway found that successful teams were more likely to be given favourable penalty decisions. problem_title: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle: First the new electronic line-judging system failed to spot that Sonay Kartal had whacked a ball long during her match against Anastasia Pavlyuchenkova, which led to the Russian losing a game she otherwise would have won. trace_subject: (none) gain_reading: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle: Another study in Norway found that successful teams were more likely to be given favourable penalty decisions. problem_reading: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle: First the new electronic line-judging system failed to spot that Sonay Kartal had whacked a ball long during her match against Anastasia Pavlyuchenkova, which led to the Russian losing a game she otherwise would have won. quick_read: We are all suckers for a good story. And there was certainly a cracking two‑parter at Wimbledon this year. First came the news that 300 line judges had been replaced by artificial intelligence robots. Long ago, researchers estimated that line judges get around 8% of close calls wrong. limitation: Machine-ingested summary: the claims above reflect a single primary source and have not been weighed against contradicting evidence by a Truvace editor yet. tag: Automated dual reading key_points: We are all suckers for a good story. | And there was certainly a cracking two‑parter at Wimbledon this year. | First came the news that 300 line judges had been replaced by artificial intelligence robots. rundown: We are all suckers for a good story. And there was certainly a cracking two‑parter at Wimbledon this year. First came the news that 300 line judges had been replaced by artificial intelligence robots. Then, a few days later, it turned out there were some embarrassing gremlins in the machine. sources: - journalism | The Guardian | https://www.theguardian.com/sport/2025/jul/15/rise-of-the-machines-ai-outrage-technology-tennis-sport | 2025-07-15 prev: 88a3a5bfe8b61c8166e192abcbddb0a6ce10b6e58c12ad07dfb110704f4be985
- sha256
- 95c78e845a02674a4d1ee85c3a6062a027bef613f25349e92b7abed854ff300f
- previous
- 88a3a5bfe8b61c8166e192abcbddb0a6ce10b6e58c12ad07dfb110704f4be985
Verify this record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0083 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.