How the monitored publications were assessed

Discourse valence across every scored item: what the sampled sources published and how independent models read it. It is not a measure of public opinion, not a measure of the state of the world, and article volume is not agreement.

21 items read as mixed or uncertain

• Single-nucleus transcriptome-wide association study of human brain disorders
  -16 Nature 2026-09-23 low agreement · ±110
• OpenAI says it cracked 90-year-old maths problem in 88 hours
  -14 BBC News: Technology 2026-09-08 low agreement · ±115
• AI’s transformation of mathematics is a turning point for science
  -12 The Economist: Science and Technology 2026-10-12 low agreement · ±150
• Guarding the Gates of Knowledge
  -7 IEEE Spectrum: AI 7d ago low agreement · ±110
• BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering
  -5 arXiv cs.AI 2026-09-28 low agreement · ±175
• A Comparative Framework for Evaluating Foundation Models on Tabular Data: A Case Study in Healthcare
  -4 arXiv cs.CY (Computers and Society) 2026-09-22 low agreement · ±175
• When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations
  0 arXiv cs.LG (Machine Learning) 2026-10-23 single model
• “We were looking at it wrong”: The explosive claim that’s upended the AI world
  0 MIT Technology Review: AI 2026-10-19 low agreement · ±150
• Do Vision CIL Methods Transfer to Protein? A Diagnostic Benchmark of Frozen Protein Encoders
  0 arXiv cs.LG (Machine Learning) 2026-10-15 single model
• OpenAI’s release of mathematical findings draws concerns from experts
  0 The Guardian: Artificial Intelligence 2026-10-07 single model
• Introducing SynthID Bio
  0 Google DeepMind 2026-09-30 single model
• Position: Let's Strengthen Verifiability If We Can't Enforce Reproducibility
  0 arXiv cs.CY (Computers and Society) 2026-09-30 single model
• AI can widen science — but only if institutions stop rewarding the already measurable
  0 Nature 2026-09-29 single model
• Peer Review as Structured Commentary: Immutable Identity, Public Dialogue, and Reproducible Scholarship
  0 arXiv cs.CY (Computers and Society) 2026-09-28 low agreement · ±175
• What Do Current Systematic Generalization Tasks Miss? A Reasoning-Centered Analysis
  0 arXiv cs.AI 2026-09-18 single model
• OpenAI Says It Has Cracked One of Math’s ‘Millennium Problems’
  +1 The New York Times: Technology 2026-09-08 low agreement · ±150
• Introducing Quine: An AI research system designed for the complexity of biology
  +2 Microsoft Research 2026-09-29 low agreement · ±175
• Why Read a Research Paper When You Can Turn It Into an AI Agent?
  +7 IEEE Spectrum: AI 2026-09-22 low agreement · ±175
• Synthesizing symbolic models of human and machine reasoning at scale
  +10 arXiv cs.AI 2d ago single model
• OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery
  +10 arXiv cs.AI 8d ago single model
• How a team of AIs discovered a promising lung-cancer drug
  +12 Nature 2026-09-17 low agreement · ±175

Across the whole window

The two tables below describe every item in the last 90 days under science. They are deliberately not narrowed by the reading filter (currently mixed or uncertain), because a mean taken only over items already selected for their score would just restate the filter.

By topic

By source

A source's mean says how the items it published were read. It is not a rating of the source.