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 · last 90 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
-8
Mixed or uncertain
120 items · range -19 to 0
-100
-50
0
+50
+100
-8
Adverse readingFavourable reading
120 items read as mixed or uncertain
- OpenAI reveals six more safety issues and unveils plan to disclose incidents
- Burnham to call for global effort to control threats posed by AI
- How Potential 2028 Presidential Candidates Are Talking About A.I.
- EU to restrict social media and chatbots for children under 15
- A Robot Among People:From Social Imitation to the Social Becoming of Human Groups
- Artificial intelligence and biosecurity: capabilities, threat pathways, and defense-in-depth governance
- China unveils draft export controls on AI technologies and chips
- Jensen Huang says battle over AI innovation and safety is ‘false choice’
- Scalable Oversight for AI in Mental Health: Lessons from 350,000 AI Coaching Conversations between Therapy Sessions
- Sam Altman’s remarks at the United Nations Security Council
- When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration
- With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education
- OpenAI’s Altman and Anthropic’s Amodei address UN security council
- Instructional Governance by Design: A Framework for AI in Computing Education
- Steve Bannon and Bernie Sanders Demand Tighter Controls on A.I.
- Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
- Following the Preference, Missing the Optimum: Compliance Without Optimization in AI Housing Recommendation
- ClawLoop: Self-Improving Agents via Harness-Native Training Loop
- OpenAI's apparent maths breakthrough raises profound questions
- Single-nucleus transcriptome-wide association study of human brain disorders
- AI-inferred expressed well-being and collective-action discourse in climate-change campaigns on X
- 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
- Click, Branch, Audit: A Decision-Tree Toolkit for Assessing Fundamental Rights Impacts under the Digital Services Act of Very Large Platforms & Search Engines
- KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks
- '500 new vulnerabilities' found in government, says AI minister
- Algorithm Validation as a Policy Audit: Evidence from Race-blind Charging
- OpenAI says it cracked 90-year-old maths problem in 88 hours
- The World Won't Wait: Evaluating and Teaching Agents Under a Live Clock
- ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
- OpenAI Engineer, Who Is Charged With Planting Bug, Advised Saudis
- Stability and Diversity of Networked Self-Consuming Generative Ecosystems
- OpenAI announces ‘dots’ agent after scrapping launch of new AI model over safety concerns
- Pope Leo criticises Nvidia’s Jensen Huang over AI safety
- A global safety net for climate-risk intelligence is urgently needed
- AI for Societal Impact
- Steve Bannon and Bernie Sanders unite in AI safety call
- The onward march of cognitive capitalism
- ‘We must slow the pace’: CEO of Anthropic calls for an AI slowdown
- OpenAI Says It Will Not Release Newest Astra A.I. Model Over Safety Concerns
- AI’s transformation of mathematics is a turning point for science
- China’s extraordinary rise in science and how it will change the world
- OpenAI scraps rollout of new model over safety concerns
- Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms
- Watermarks Without Verification: AI Text Watermarking After the EU AI Act
- Governance-as-Code: Translating EU AI Act Technical Requirements into Executable Compliance Pipelines for Generative AI Systems
- AI Alignment for Digital Democracy: Fairer Voters Representation against LLM Biases
- DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution
- China Condemns U.S. Ban on DeepSeek A.I. in Government Systems
- F.T.C. Investigates OpenAI and Anthropic Over Potential Consumer Harms
- Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training
- The Ineliminable Anchor: Human Judgment as a Structural Requirement of Autonomous Artificial Intelligence Systems
- ‘Immature playground boasting’: Mathematicians uneasy at OpenAI’s latest scalp
- Developing Competency in AI Ethics: A training framework
- Developing Gemini 4 Argon responsibly and safely
- Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation
- California Governor Gavin Newsom Issues A.I. Safety Executive Order
- How “reverse game theory” could keep AI agents in check
- StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents
- Evaluating Model Capabilities After Benchmark Saturation
- Whose Ground Truth? Embracing Ambiguity in Human-Centered AI
- OpenAI axes next model citing safety issues
- Guarding the Gates of Knowledge
- AI Security Literacy: Ecosystem-based Competency Framework and K-12 Learning Platform
- Nvidia, worth $5.5tn, donates $250m to UK for AI safety research
- Gemini 4 Argon: Built to solve your hardest problems
- Can our children still prosper in the age of AI?
- SlackBench: Benchmarking Agents on Collaborative Projects Grounded in Real Code Repositories
- Gemini 4 Carbon: Our next frontier model
- An AI Factory for Technology Education: An Agentic Pipeline with Closed Loop Audience Feedback
- BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering
- Should promotion depend on how workers use AI?
- Obama reportedly urges Democrats to prioritize safety plan for AI
- The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents
- Democratic governance of frontier AI, part II: Empowering cyber defenders
- A Comparative Framework for Evaluating Foundation Models on Tabular Data: A Case Study in Healthcare
- Genie 4: A new generation of world simulation
- AI Risk Ontologies for the EU AI Act Compliance: AIRO, VAIR, and their Integration with DPV
- AI researchers stranded Claude on a virtual desert island. It started to “play.”
- Priorities and principles for effective third party assessments
- Plan for AI-run companies challenged by US lawmakers
- Why does America hate AI?
- From Regulation to Engineering: Organizational Privacy Climate as Mediator
- Google announces Gemini 4 Argon AI model, but you can't use it yet
- How China and the US can work together on AI security
- Work, Wellbeing, and Choice: Empirical Lessons for AI Futures
- OpenAI and Anthropic bosses push UN for global terms on AI
- Anticipatory Human Oversight of Agentic AI: A Philosophical Account
- World Bank says ‘small AI’ could transform developing countries
- Toward a Time-Aware Assessment Framework for the Carbon Cost of AI-Enabled Decarbonization
- Research with AI Agents: How Agentic Systems Are Changing Scientific Work
- California’s Governor to Sign Landmark Online Child Safety Bills
- RADAR: Readiness for AI Discovery and Agentic Reach
- Distilling Expert Judgment at Scale
- Beyond the Monolithic Interface: A Research Agenda for Plural Conversational AI
- Reimagining research papers as interactive and reliable AI agents
- Not All That Can Be Automated Should Be Automated: Strategic Minimalism as a Disciplined and Ethically Grounded Approach to AI Adoption
- Partnering with Hacktron to find vulnerabilities in OpenAI’s systems
- ESC (DC) 2
- Trust Responsive Runtime Authorization for Agentic AI with Empirical Characterization of Policy Behavior and Parameter Sensitivity
- A Feasibility Condition for Confidence-Gated Tiered LLM Inference
- Thick Alignment: A Social Framework for Values and AI Systems
- Ghost in the machine: how AI is haunting the search for the supernatural
- 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
- Whether Is Not When: Separating Occurrence from Timing in Polymarket Prices
- AOS-Bench: Can LLM Agents Manage Dynamic Workloads?
- ChatGPT’s expanding world of work
- When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations
- What Does AI Success Look Like? A Mixed-Methods Analysis of Supranational AI Governance Instruments
- To Manipulate or Not: Opinion Dynamics in LLM Interactions
- Peer review should constrain evaluative authority
- Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle
- When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability
- “We were looking at it wrong”: The explosive claim that’s upended the AI world
- Anthropic turns to lawyers to help AI agents strike deals
- Bringing GPT-Rosalind to academic research labs
- 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
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 90 days. 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 |