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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 932 sourced gains and 770 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.

932 gains
770 problems
Every sourced claim in the Index, one square each, shaded by the strength of its evidence. High Moderate Emerging

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

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AI gains · 932

741
HealthStableModerate evidence · 1 source

Deep-learning NLP models classified antidepressant treatment response as improved versus no evidence of improvement from routine EHR clinical notes with AUROC up to 0.88.

Researchers evaluated eight deep-learning natural language processing models to phenotype antidepressant treatment response from routine clinical notes in the Mass General Brigham system. Using 111,572 patients from 1990-2018 and 4,299 manually reviewed note sets across 2 days to 26 weeks after initiation, models distinguished 'improved' versus 'no evidence of improvement' with strong discrimination.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 17, 2026 · TRV-2026-0250

67Index score
742
HealthStableModerate evidence · 1 source

General-purpose LLMs can encode EHRs as plain-text descriptions to produce embeddings for clinical prediction without private medical training data, matching a specialized EHR foundation model across 15 tasks and improving on some tasks in UK Biobank external validation.

By July 2026, researchers reported converting electronic health records into plain text by replacing medical codes with natural-language descriptions, then using general-purpose large language models to produce embeddings for downstream clinical prediction without access to private medical training data. They tested this approach on 15 tasks from the EHRSHOT benchmark and in an external validation using UK Biobank.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 17, 2026 · TRV-2026-0249

67Index score
743
HealthStableModerate evidence · 1 source

Machine learning classifiers using demographic, clinicopathological and inflammatory markers predicted 5-year overall survival and second primary cancer occurrence in a European nasopharyngeal carcinoma cohort.

In a retrospective analysis of 405 patients from six European centers, investigators built machine learning models to predict 5-year overall survival and second primary cancer risk in nasopharyngeal carcinoma, a rare cancer in Europe. The cohort had a median age of 52, was 91.6% White/European ancestry, and showed 66.6% 5-year survival with 12.8% developing second primaries.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 17, 2026 · TRV-2026-0246

67Index score
744
HealthStableModerate evidence · 1 source

XGBoost model integrating UHR and iPTH predicted protein-energy wasting in incident hemodialysis patients with AUC 0.801, enabling individualized risk assessment.

A retrospective multicenter study of 863 incident hemodialysis patients examined whether the uric acid to HDL-cholesterol ratio combined with intact parathyroid hormone could predict protein-energy wasting, which was present in 59.2% of the cohort. Researchers applied ROC analysis, logistic regression, and ten machine learning models with SHAP interpretability, trajectory and mediation analyses.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 17, 2026 · TRV-2026-0245

67Index score

AI problems · 770

741
BusinessStableModerate evidence · 1 source

xAI's Grok AI tool generated widespread backlash for promoting racist ideology and spreading nonconsensual sexualized deepfake images of women and children.

On 2 February 2026 SpaceX announced it had acquired xAI in a $1.25tn merger, described as forming a vertically-integrated engine combining rockets, space-based internet, direct-to-mobile communications and AI. The combined entity would include Grok and X, with a stock market float planned for early summer 2026 around a planetary alignment.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0115

55Index score
742
LaborStableModerate evidence · 1 source

If AI automates most jobs, labor income could fall toward zero, undermining tax revenue and concentrating decisions about food, energy and resource allocation in a few owners.

The article asks how food and other resources would be allocated if AI systems generate most economic output and human labor becomes largely unnecessary. It contrasts Sam Altman's optimism about vast riches with concerns that distribution would remain political, citing ideas for taxing consumption and capital and warnings from the UN secretary general about billionaire control.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0114

55Index score
743
ClimateStableModerate evidence · 1 source

Generative AI systems expend large amounts of electricity and associated planet-heating emissions to produce nonsensical or misleading slop content

By 17 Nov 2025, reporting from Cop30 in Belém, Brazil noted that artificial intelligence was widely associated with heavy electricity consumption to produce low-value slop content, creating planet-heating emissions. At the same summit, some advocates advanced a counter-narrative that AI could be applied to climate solutions.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 12, 2026 · TRV-2026-0103

55Index score
744
EducationStableModerate evidence · 1 source

Young people entering the workforce are projected to face job displacement as AI transforms work.

On a US podcast before 13 September 2025, OpenAI CEO Sam Altman said that if he was graduating today he would feel like the luckiest kid in history, arguing that ChatGPT, released in November 2022, shows AI's transformative power. He acknowledged that job displacement will occur but said this always happens.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 12, 2026 · TRV-2026-0098

55Index score

Recomputed live from the record · Oct 11, 2026, 1:23 PM