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.

19 items read as adverse

• Progressive Misalignment Can Emerge from Benign Recursive Self-Distillation
  -63 arXiv cs.LG (Machine Learning) 2026-10-19 low agreement · ±65
• Anthropic IPO warns its AI could blackmail people, become sentient, end humanity
  -61 Ars Technica: AI 12d ago low agreement · ±50
• AI’s mathematics blitz pushes science into strange new territory
  -57 The Economist: Science and Technology 2026-10-12 low agreement · ±100
• Adapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AI
  -54 arXiv cs.AI 2d ago low agreement · ±70
• Will the real Anthropic please stand up
  -50 MIT Technology Review: AI 13d ago single model
• Harness^2: Recursive Agent Harnessing for an Open World
  -50 arXiv cs.AI 2026-10-15 low agreement · ±150
• Stronger artificial intelligence breakthroughs hasten their own exhaustion
  -48 arXiv cs.CY (Computers and Society) 2026-10-21 low agreement · ±100
• Visualizing the World Model in an Agent's Value Function
  -46 arXiv cs.AI 2026-10-15 low agreement · ±165
• When Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence
  -40 arXiv cs.AI 2026-10-16 low agreement · ±150
• AI will make it possible to design and build organisms from scratch
  -38 The Economist: Science and Technology 2026-10-14 low agreement · ±100
• Elon Musk Says SpaceX and Tesla Are Exploring a Merger
  -33 The New York Times: Technology 2026-10-21 low agreement · ±105
• Open-world AI: a Tale of Three Requirements
  -32 arXiv cs.AI 2026-10-16 low agreement · ±105
• Artificiality's First Exam: An LLM-Referenced C-test for Supraintelligence
  -31 arXiv cs.AI 2026-10-15 low agreement · ±175
• AI companies want to become frontier scientific researchers
  -30 The Economist: Science and Technology 2026-10-14 low agreement · ±110
• Is Universal Basic Income the Answer to A.I.-Fueled Job Losses?
  -26 The New York Times: Technology 2026-10-12 low agreement · ±110
• Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?
  -26 arXiv cs.CY (Computers and Society) 2026-10-09 low agreement · ±175
• Risk Ceilings and Development Deadlines: Pacing AI under Uncertain Safety Productivity
  -26 arXiv cs.CY (Computers and Society) 2026-10-09 low agreement · ±165
• Zuckerberg says Meta has reached AI ‘frontier’ and rejects calls for slowdown
  -26 Financial Times: Artificial Intelligence 2026-10-12 low agreement · ±105
• Anthropic’s IPO S-1 Spells Out a Future of Promise and Peril
  -20 The New York Times: Technology 13d ago low agreement · ±100

Across the whole window

The two tables below describe every item in the last 30 days under agi-timelines. They are deliberately not narrowed by the reading filter (currently adverse), 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.