TruaceTracing the truth around AIMonday, September 14, 2026
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.

1,404 results
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AI gains · 779

67
GainScience· Stable· Evidence: Moderate (1 source)

Integration of AI with databases, theory and automation enables systematic predictive materials discovery by identifying complex structure-property relationships and closing the loop between prediction and validation.

Published January 2026 in Chemical Science, the perspective describes a shift from empirical materials exploration to a digital ecosystem that unifies data, theory, and automation. AI analysis of growing datasets identifies complex structure-property links, while automated synthesis and high-throughput characterization close the loop to experimental validation.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0406

67
GainScience· Stable· Evidence: Moderate (1 source)

Large Language Models have demonstrated strong capabilities in structured reasoning and symbolic tasks, with coding succeeding as a concrete application area.

As of January 2026, this peer-reviewed review surveys Large Language Models applied to mathematics in both natural-style language and formal symbolic syntax suitable for automatic verification. It notes coding has emerged as a successful application of structured reasoning, while formalized mathematics has proven significantly more challenging.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0405

67
GainHealth· Stable· Evidence: Moderate (1 source)

Medical large language models have potential to streamline healthcare delivery and improve patient outcomes by assisting clinicians, educators, and patients in daily practice.

This peer-reviewed survey from January 2026 traces recent advances in Medical Large Language Models, from background and adaptation techniques for general-purpose models to medical-specialized applications and a review of existing systems across healthcare domains.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0398

67
GainPolicy· Stable· Evidence: Moderate (1 source)

Since 2022, transformers, LLMs, diffusion models and implicit neural representations have established new capabilities in text-to-image/video generation and real-time 3D reconstruction, shifting AI from support tool to core creative technology in the creative industries.

Published January 24, 2026, this systematic review examines AI advances since 2022, particularly generative AI, LLMs, and diffusion models, and their application across the creative production pipeline from creation to compression and quality assessment.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0392

AI problems · 625

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

AI-assisted news bulletins on Triple M and SAFM broadcast false identification of Adelaide Advertiser journalist Dylan Hogarth as an alleged violent offender who struck police with a hammer and fled custody.

On 12 December 2025, Southern Cross Austereo's Triple M and SAFM stations broadcast multiple news bulletins that wrongly named Adelaide Advertiser journalist Dylan Hogarth as an alleged offender who had struck police with a hammer and fled on foot, after Hogarth had reported the court naming of the actual alleged offender.

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

Updated Aug 9, 2026 · TRV-2026-0706

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

Hachette Book Group discontinued UK distribution and cancelled the US launch of horror novel Shy Girl and removed it from retailers after online allegations of heavy AI use.

On 20 March 2026, The Guardian reported that Hachette Book Group withdrew the horror novel Shy Girl by Mia Ballard after online allegations of heavy AI use. The publisher discontinued UK distribution, cancelled the planned US launch under its Orbit imprint, and removed the title from retailers including Amazon following an internal review first reported by the New York Times.

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

Updated Aug 9, 2026 · TRV-2026-0702

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

A short story awarded a prestigious Commonwealth prize faces allegations of being AI-generated and constituting AI plagiarism, while a separate debut novel had its release cancelled over AI authorship concerns.

On 19 May 2026, The Guardian reported a furore after The Serpent in the Grove won the Commonwealth short story prize for the Caribbean and was published in Granta. Critics and online commentators alleged the story was AI-generated, citing an AI detector result and stylistic tics, while the Commonwealth Foundation and Granta said they had considered the claims but not reached a conclusion.

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

Updated Aug 9, 2026 · TRV-2026-0701

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

AI development depends on low-wage human labor in mines, factories and labelling centres, perpetuates pre-existing biases in recruitment and law enforcement, and is rolling out without public consent or consideration for planetary health while concentrating power in a handful of executives.

On 27 July 2026 The Guardian reviewed Eleanor Drage's book What If We Got AI Right, which argues AI should be understood as the product of human labor in mines, chip factories and labelling centres rather than a mystical force, and that hype terms like 'the cloud' and 'hallucination' hide system errors and corporate control.

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

Updated Aug 9, 2026 · TRV-2026-0700

Recomputed live from the record · Sep 14, 2026, 10:16 PM