+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIWednesday, August 26, 2026
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The Index

What the evidence says.What the public feels.

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

1,155 results
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AI gains · 641

56
GainLabor· Stable· Evidence: Moderate (1 source)

Highly exposed workers have not seen a systematic rise in unemployment since late 2022, with overall employment effects remaining modest as AI adoption offsets losses with new labor demand.

In a March analysis, Anthropic examined employment data since late 2022 and reported no systematic increase in unemployment for workers highly exposed to AI, even as its own Claude system covers only a third of computer and math tasks it could theoretically do. The Guardian article notes that labor productivity has been slower in the first three years of this AI era than in the mid-1990s IT boom, despite soaring datacenter spending.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%94

Updated Jul 26, 2026 · TRV-2026-0565

56
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

The use of AI to recreate MGR in Jana Nayagan produced a widely discussed emotional tribute that became the film's most talked-about moment.

On July 24, 2026, coverage of Jana Nayagan highlighted an AI-generated MGR sequence as the film's most talked-about moment, describing it as an emotional tribute within Vijay's farewell film that connects to Tamil cinema's biggest icon.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%94

Updated Jul 25, 2026 · TRV-2026-0556

56
GainBusiness· Stable· Evidence: Moderate (1 source)

Mistral AI's OCR 4 delivers structured document intelligence for enterprise use, providing bounding boxes, confidence scores, and self-hosted deployment.

On June 24, 2026, VentureBeat reported Mistral AI launched OCR 4, described as delivering structured document intelligence with bounding boxes, confidence scores, and self-hosted deployment for enterprise use.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 23, 2026 · TRV-2026-0516

56
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

A YouTube creator used AI-assisted production to bring a feature film to U.S. theatrical release, testing online fandom as a box office driver.

On July 22, 2026, reporting noted that YouTube creator Gossip Goblin is bringing the AI-assisted feature "Gods Dont Give Gifts" to U.S. theaters. The coverage frames the release as an experiment in translating an online audience into theatrical attendance.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 23, 2026 · TRV-2026-0514

56
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

A fully AI-generated feature originating on YouTube is poised to expand to theatrical distribution on the big screen.

As of July 22, 2026, the fully AI film Gods Don't Give Gifts, which originated on a popular YouTube channel, is described as poised to become the next YouTube-originated feature to move to theatrical exhibition on the big screen.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 23, 2026 · TRV-2026-0513

56
GainLabor· Stable· Evidence: Moderate (1 source)

Workers can actively prepare for AI automation by cultivating curiosity, humility and emotional intelligence that remain valuable as technical tasks are automated.

In early 2026 a public-sector technical manager learned from news stories that his business group was slated for cuts explicitly linked to AI integration for cost savings, with his whole team expected to go despite his own AI training and advocacy for assistance rather than replacement.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 21, 2026 · TRV-2026-0465

AI problems · 514

No problems on this page.

Recomputed live from the record · Aug 27, 2026, 12:55 AM