Discourse monitor
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.
Mean discourse valence per day · governance · last 30 days
This line is the mean of every item scored on each day. It deliberately ignores the reading filter, because a daily mean of only the mixed or uncertain items would move with how many were filtered out rather than with the discourse.
Discourse valence, mixed or uncertain
-2
Mixed or uncertain
43 items · range -18 to +13
-100
-50
0
+50
+100
-2
Adverse readingFavourable reading
43 items read as mixed or uncertain
- China unveils draft export controls on AI technologies and chips
- Google DeepMind and Singapore Government announce new AI tool to protect citizens against scams
- Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEs
- The onward march of cognitive capitalism
- China’s extraordinary rise in science and how it will change the world
- AI Alignment for Digital Democracy: Fairer Voters Representation against LLM Biases
- China Condemns U.S. Ban on DeepSeek A.I. in Government Systems
- Developing Competency in AI Ethics: A training framework
- Developing Gemini 4 Argon responsibly and safely
- How “reverse game theory” could keep AI agents in check
- Whose Ground Truth? Embracing Ambiguity in Human-Centered AI
- AI Security Literacy: Ecosystem-based Competency Framework and K-12 Learning Platform
- Nvidia, worth $5.5tn, donates $250m to UK for AI safety research
- SlackBench: Benchmarking Agents on Collaborative Projects Grounded in Real Code Repositories
- An AI Factory for Technology Education: An Agentic Pipeline with Closed Loop Audience Feedback
- The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents
- Democratic governance of frontier AI, part II: Empowering cyber defenders
- Genie 4: A new generation of world simulation
- AI Risk Ontologies for the EU AI Act Compliance: AIRO, VAIR, and their Integration with DPV
- Plan for AI-run companies challenged by US lawmakers
- Why does America hate AI?
- From Regulation to Engineering: Organizational Privacy Climate as Mediator
- World Bank says ‘small AI’ could transform developing countries
- Partnering with Hacktron to find vulnerabilities in OpenAI’s systems
- AI agents need middle managers too
- Don't Pick a Winner: Knowledge Conflicts Need a Prior, Not a Rule
- Uneven Use, Similar Trust Generative AI in Denmark and Romania
- What Does AI Success Look Like? A Mixed-Methods Analysis of Supranational AI Governance Instruments
- Peer review should constrain evaluative authority
- Anthropic turns to lawyers to help AI agents strike deals
- Structural Dependence, Imitation or Herding? A Multi-Agent Simulation of Global Intermedia Agenda Setting
- From Efficiency to Sufficiency: The Cost-Aware Measurement Design Framework for Automated Essay Scoring
- Amp puts AI agents to work beyond code with OpenAI models
- Scaffolding GenAI Use in Ethical Essay Writing: A Three-Year Experience Report in Introductory Computing
- One essential ingredient for AI safety? Democracy | Matthew Botvinick
- ‘Bold but sane’: what we learnt from Anthropic’s 240,000-word IPO filing
- ‘Control and sovereignty’ to shape UK approach to AI
- Playing Bias: Epistemic Games for Interpreting Text-to-Image Models
- An updated Model Spec for more capable and beneficial AI
- The EU AI Act Beyond Europe: A Practical Readiness Framework for Non-EU Organisations. Comparative Evidence from Four African Countries
- Global economy set for AI-driven surge, FT survey suggests
- Regulating for an AI Commons: Adopting, sustaining, and defending people-first innovation trajectories
- AI-Native Academia Should Build a Community Verification Layer
3560
discovered, all time
984
passed triage
2574
rejected at triage
3464
model assessments
710
multi-model panels
1780
distinct claims tracked
Across the whole window
The two tables below describe every item in the last 30 days under governance. 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
| Topic | Branch | Items | Mean | Position |
|---|---|---|---|---|
| Existential and catastrophic risk | risk | 568 | -42 | |
| Governance and regulation | structural | 459 | -31 | |
| Concentration of power | risk | 451 | -36 | |
| Loss of control and alignment | risk | 337 | -49 | |
| Human agency and epistemics | risk | 166 | -26 | |
| Cyber capability | risk | 165 | -44 | |
| Evaluation and measurement | structural | 159 | -19 | |
| Scaling and architecture | structural | 137 | -16 | |
| AGI and timelines | structural | 132 | -29 | |
| Synthetic media and manipulation | risk | 104 | -44 | |
| Employment and displacement | risk | 62 | -31 | |
| Medicine and health | benefit | 43 | -14 | |
| Scientific acceleration | benefit | 42 | -4 | |
| Education and access to expertise | benefit | 29 | -17 | |
| Biological and chemical uplift | risk | 26 | -25 | |
| Climate and energy | structural | 20 | -33 | |
| Compute and infrastructure | structural | 18 | -8 | |
| Productivity and growth | benefit | 6 | -3 | |
| Abundance and material wellbeing | benefit | 5 | -1 | |
| Hype and disillusionment | structural | 5 | -45 |
By source
A source's mean says how the items it published were read. It is not a rating of the source.
| Source | Kind | Tier | Items | Mean |
|---|---|---|---|---|
| The Guardian: Artificial Intelligence | news | 1 | 241 | -52 |
| arXiv cs.CY (Computers and Society) | academic | 1 | 217 | -24 |
| Financial Times: Artificial Intelligence | news | 1 | 112 | -40 |
| arXiv cs.AI | academic | 1 | 99 | -15 |
| The New York Times: Technology | news | 1 | 60 | -36 |
| Ars Technica: AI | news | 1 | 59 | -51 |
| MIT Technology Review: AI | news | 1 | 34 | -42 |
| Nature | academic | 1 | 31 | -25 |
| BBC News: Technology | news | 1 | 29 | -35 |
| OpenAI | lab | 1 | 24 | -8 |
| arXiv cs.LG (Machine Learning) | academic | 1 | 24 | -16 |
| IEEE Spectrum: AI | news | 1 | 19 | -19 |
| The Economist: Science and Technology | news | 1 | 10 | -37 |
| CSET, Georgetown | government | 1 | 9 | -37 |
| Microsoft Research | lab | 1 | 8 | 0 |
| Google DeepMind | lab | 1 | 6 | -4 |
| Google AI Blog | lab | 1 | 2 | -9 |