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.

17 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
• 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
• 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 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
• 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
• 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
• 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
• 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

Across the whole window

The two tables below describe every item in the last 30 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.