+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
TruaceTracing the truth around AIMonday, September 14, 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.

1,402 results
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AI gains · 778

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

SparksMatter autonomously executed the full in-silico discovery cycle from ideation to iterative refinement and proposed novel stable inorganic candidates meeting target objectives in thermoelectrics, semiconductors, and perovskite oxides, with blinded evaluation showing higher relevance and novelty than frontier basel

Researchers introduced SparksMatter, a multi-agent physics-aware model that autonomously carries out the full in-silico inorganic materials discovery cycle from ideation and planning to experimentation and iterative refinement, then proposes candidates meeting target objectives and produces a structured report with self-critique and suggested validation steps.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0110

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

Minor parties adopted visual generative AI at higher rates than major parties during the 2025 German federal election, gaining broader access to professional campaign visual production.

During the four weeks before the 2025 German federal election, 37 parties' Facebook and Instagram accounts published nearly 1,000 VGenAI images and videos. Minor parties used VGenAI at higher rates than major parties, consistent with lower-cost access to professional visuals, while mainstream major parties disclosed AI origins more frequently than minor parties and the AfD, which used more photorealistic, citizen, criminal, and negative-tone imagery.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0109

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

Young immigrant men aged 21-35 in Helsinki used generative AI tools like ChatGPT and Gemini to lower language and knowledge barriers while searching recipes, adapting dishes to cultural or religious preferences, and learning cooking techniques.

What happened: In Helsinki, young immigrant men aged 21-35 described routing everyday eating through digital platforms, using apps and chats to find recipes, adapt dishes, and learn techniques, with generative AI tools lowering language and knowledge barriers while also creating frictions like advice overload and cultural mismatch.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0108

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

In a survey of 241 people with MS, respondents reported higher comfort with AI when used for low-risk supportive roles like chronic management and symptom screening, with most preferring a joint model where clinicians retain final responsibility.

By July 1 2026, researchers had surveyed 241 people with MS via a web-based questionnaire to measure comfort with AI across eight clinical domains. They found moderate overall acceptance (mean 3.39 ± 0.78) that varied by task, with 54.4% comfortable with chronic management and 50.2% with symptom screening, compared to 38.6% for treatment selection and 35.3% for diagnosis. Frequent general AI use was the strongest predictor of acceptance.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0107

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

ChatGPT can enhance productivity and deliver significant gains for organizations in banking, hospitality and tourism, and information technology.

This opinion paper compiles 43 expert contributions to examine transformative tools such as ChatGPT. Contributors describe systems that generate sophisticated human-like text and discuss their applicability across many organizational settings, with particular attention to productivity effects.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 12, 2026 · TRV-2026-0050

66
GainHealth· Newly added· Evidence: Moderate (1 source)

AI-powered X-ray tools funded in the NHS enabled faster lung diagnosis for more than 4 million patients.

On 8 September 2026, The Guardian reported comments by Arm Holdings chief executive Rene Haas to the BBC that AI will help find a cure for cancer within our lifetimes. Haas argued that modelling how a DNA marker is impacted by cancer is currently too complex for humans and existing computers, but that feeding more models into more sophisticated computers will eventually solve it.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%99

Updated Sep 9, 2026 · TRV-2026-1019

66
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

Generative music tool Treblo enabled an artist to produce a synth-pop track that reached No. 58 on the Billboard Hot 100 and over 35 million Spotify streams, demonstrating AI as a new sound-finding method for charting artists.

In June 2026, rapper Fenix Flexin released Rubberz, an 80s-inspired synth-pop single that climbed to No 58 on the Billboard Hot 100 with more than 35m Spotify streams. After skeptics noted its uncanny quality, producer Medasin demonstrated Treblo could recreate a near-identical track, and Fenix later admitted using AI, while Trebloe28099s own classifier flagged it as very likely Treblo-generated.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%96

Updated Aug 25, 2026 · TRV-2026-0872

AI problems · 624

No problems on this page.

Recomputed live from the record · Sep 14, 2026, 1:10 PM