+ 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 AIThursday, August 27, 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

68
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%91

Updated Jul 13, 2026 · TRV-2026-0110

68
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%91

Updated Jul 13, 2026 · TRV-2026-0109

68
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%91

Updated Jul 13, 2026 · TRV-2026-0108

68
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%91

Updated Jul 13, 2026 · TRV-2026-0107

68
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%91

Updated Jul 12, 2026 · TRV-2026-0050

67
GainMedia & Arts· Newly added· 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%100

Updated Aug 25, 2026 · TRV-2026-0872

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

Velaura AI's chip design technology lowers power consumption and operating costs at AI data centers, which helped it raise $110 million Series A and exceed $1 billion valuation.

On Tuesday, Aug 18, 2026, chip designer Velaura AI raised $110 million in a Series A round that valued the company at more than $1 billion, according to Reuters via The Star.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%98

Updated Aug 19, 2026 · TRV-2026-0834

66
GainBusiness· Stable· Evidence: Moderate (1 source)

AI-assisted design of preferred stock instruments enabled Strategy to raise approximately $15 billion in total for its Bitcoin treasury strategy, including about $10.5 billion from STRC alone.

By August 9, 2026, Strategy had used artificial intelligence to design preferred stock instruments including STRC, which according to the report raised about $10.5 billion through one instrument and roughly $15 billion overall to fund its Bitcoin purchases.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%97

Updated Aug 10, 2026 · TRV-2026-0720

AI problems · 514

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Recomputed live from the record · Aug 27, 2026, 5:27 AM