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.

42 items scored in this window

• AI’s mathematics blitz pushes science into strange new territory
  -57 The Economist: Science and Technology 2026-10-12 low agreement · ±100
• OpenAI claims to have solved hundreds of long-standing maths problems
  -57 The Economist: Science and Technology 2026-10-07 low agreement · ±100
• Will AI grant reviews make science more conservative?
  -50 Nature 5d ago single model
• What Does an Ontology Catch? Curated, LLM-Generated and Data-Derived Ontologies as Checkers of LLM Agents over Knowledge Graphs
  -50 arXiv cs.AI 8d ago single model
• AI-hallucinated citations should be treated as research misconduct
  -50 Nature 12d ago single model
• Watching What We Eat: Information Quality and Body Image in Diet-Related YouTube Videos
  -50 arXiv cs.CY (Computers and Society) 2026-09-24 single model
• Lab-grown brain organoids: time for international oversight
  -41 Nature 2026-09-29 low agreement · ±100
• British households would be £5,000 richer if we were more innovative. Let’s unleash our talents | Gordon Brown
  -33 The Guardian: Artificial Intelligence 2026-10-09 low agreement · ±170
• Why the NIH must resist the metrics trap
  -31 Nature 2026-09-15 low agreement · ±100
• Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence
  -29 arXiv cs.LG (Machine Learning) 2026-09-14 low agreement · ±120
• Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction
  -26 arXiv cs.AI 11d ago low agreement · ±150
• Matched but Not Better: An Equivalence-Tested Benchmark of Quantum Machine Learning on Six Clinical Datasets and the QML-Health-READY Reporting Framework
  -25 arXiv cs.LG (Machine Learning) 3d ago single model
• 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
• Agentic Economies for Autonomous Scientific Discovery
  +20 arXiv cs.CY (Computers and Society) 2026-09-28 single model
• Building the materials foundation for AI
  +20 MIT Technology Review: AI 2026-09-16 single model
• The AI-Enabled Scientific Frontier
  +20 arXiv cs.AI 2026-09-16 single model
• OpenAI claims to have solved maths problem that stumped humans for decades
  +28 The Guardian: Artificial Intelligence 2026-09-08 high agreement · ±15
• AI agents run this automated biology lab that sequences DNA and more
  +50 Nature 4d ago single model
• Solving a 31-year-old grand challenge in mathematics – the KLS conjecture
  +50 Microsoft Research 2026-10-21 single model
• Using thousands of AI agents to uncover new leads in biological data
  +50 OpenAI 2026-10-21 single model
• Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models
  +50 arXiv cs.CY (Computers and Society) 2026-09-14 single model
• Google DeepMind Maps 9 Billion Possible DNA Variants
  +55 IEEE Spectrum: AI 2026-09-08 moderate agreement · ±40

Across the whole window

The two tables below describe every item in the last 365 days under science. They are deliberately not narrowed by the reading filter, 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.