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 · scaling · last 90 days
Discourse valence, window mean
-23
Adverse
120 items · range -79 to +20
-100
-50
0
+50
+100
-23
Adverse readingFavourable reading
120 items scored in this window
- Tech whistleblowers warn AI could wipe out humanity. Doomspeak or not, we must take these claims seriously | Gaby Hinsliff
- Louise Haigh: UK must heed warnings from AI experts
- AI godfather Geoffrey Hinton: ‘We’re creating alien beings. I’m willing to be selfish and choose humans’
- Drax datacentre could create nearly twice the yearly emissions of all Gatwick flights
- Water-Energy-Data nexus reveals sustainability gaps and priorities for AI infrastructure
- ‘Tidal wave’ of Pfas being launched to satisfy AI industry, campaigners warn
- Why this month's Microsoft patch release is a doozy
- MoFlow: Multi-Objective Agentic Workflow Generation
- Representation Alignment from a Few Paired Data via Distilled Optimal Transport
- Anthropic boss Dario Amodei calls for AI development to slow down
- Will AI scoop your science? Some researchers see a gloomy future
- AI’s mathematics blitz pushes science into strange new territory
- OpenAI claims to have solved hundreds of long-standing maths problems
- Autonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization
- They fought against datacenters. Now they are running for local offices
- The Helpful Agent Problem: When Emergent Cooperation Among LLM Agents Bypasses Intended Workflows
- Can AI’s leaders really put aside rivalry for the common good?
- Democratic governors elected on promises to stop data centre building
- Seq@K: Evaluating Language Models Under Sequential Feedback
- Lessons from Luck: Do LLM-Written Lessons Carry Chance into an Agent's Next Decision?
- SimHack: Predicting the onset of detectable reward hacking before RL training
- Inside the long, bitter fight over one man’s quest to build the biggest AI datacenter in California
- Proof-based general-purpose computing with Magnetar
- Harness^2: Recursive Agent Harnessing for an Open World
- SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire
- Connecting AI agents to enterprise knowledge
- Verifiable, Articulable, and Tacit Components of Preference
- OpenAI-HuggingFace: A Reproduction & Lessons for Alignment Testing
- Inside Beijing’s Chipmaking Offensive, One Year On
- What’s at stake in AI’s trillion-dollar gamble
- OpenAI chief scientist warns no-one is prepared for consequences of AI
- Open AI and the million-dollar maths problem - video
- Stronger artificial intelligence breakthroughs hasten their own exhaustion
- Governing at Machine Speed: An Adaptive Intelligence Architecture for Real-Time AI Policy Enforcement
- When Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence
- Hidden Messages Between Diffusion Language Model Agents: Causal Evidence for Latent Communication
- Closed-World Resolution Against Tool Hallucination in LLM Agents
- Anthropic’s CEO calls for AI slowdown as Nvidia’s urges acceleration
- US and China agree to dialogue on AI ahead of Trump-Xi meeting
- A thousand fewer paths to root
- Feature Elicitation for SAE Steering of Deceptive Behaviour in Small LLMs
- Why A.I. Agents Are Going Rogue
- The week that changed maths for ever – podcast
- Open-world AI: a Tale of Three Requirements
- Artificiality's First Exam: An LLM-Referenced C-test for Supraintelligence
- Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
- Anthropic withheld latest AI model from UK testing agency
- AI companies want to become frontier scientific researchers
- When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation
- Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence
- EPOCH: Reliable Discovery through Evidence-Governed Search
- Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?
- Australian backlash to datacentres is faux import from US, officials say: ‘We are not the United States’
- Zuckerberg says Meta has reached AI ‘frontier’ and rejects calls for slowdown
- Self-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden?
- A latent dimension of Condorcet's jury theorem for multiple AI advisers
- When Scientific Cognition Is No Longer Scarce
- Artificial intelligence now beats some of the best human forecasters
- The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission Gate
- Keep It CALM: Analyzing the Limits of Global Unsafety in Text-to-Image Generation
- How to spend $25 billion on science: OpenAI’s staggeringly rich research charity gets under way
- AI leaders want to hit the brakes after years of reckless speed
- Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
- ClawLoop: Self-Improving Agents via Harness-Native Training Loop
- Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEs
- KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks
- 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
- Stability and Diversity of Networked Self-Consuming Generative Ecosystems
- OpenAI announces ‘dots’ agent after scrapping launch of new AI 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
- DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution
- Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training
- ‘Immature playground boasting’: Mathematicians uneasy at OpenAI’s latest scalp
- StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents
- Evaluating Model Capabilities After Benchmark Saturation
- Gemini 4 Argon: Built to solve your hardest problems
- Gemini 4 Carbon: Our next frontier model
- The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents
- Genie 4: A new generation of world simulation
- Google announces Gemini 4 Argon AI model, but you can't use it yet
- Research with AI Agents: How Agentic Systems Are Changing Scientific Work
- Reimagining research papers as interactive and reliable AI agents
- Partnering with Hacktron to find vulnerabilities in OpenAI’s systems
- A Feasibility Condition for Confidence-Gated Tiered LLM Inference
- Don't Pick a Winner: Knowledge Conflicts Need a Prior, Not a Rule
- AOS-Bench: Can LLM Agents Manage Dynamic Workloads?
- 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
- Bringing GPT-Rosalind to academic research labs
- Amp puts AI agents to work beyond code with OpenAI models
- Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn
- Verification and Self-Improvement in Agentic AI: Foundations and Limits
- OpenAI’s release of mathematical findings draws concerns from experts
- Principles that Guide, Actions that Inform: Agent Evolution via Knowledge Abstraction
- Towards safety cases for frontier AI training
- Bringing AI to Autonomous Systems -- From Cognition to Collective Intelligence
- Anthropic Pursues IPO Despite Its A.I. Safety Warnings
- What Do Current Systematic Generalization Tasks Miss? A Reasoning-Centered Analysis
- AI and Human Approaches to Mathematical Problem Solving
- Is There Anything Google’s Fruit Fly Brain Can’t Do?
- OpenAI Says It Has Cracked One of Math’s ‘Millennium Problems’
- Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery
- Offloaded inference for real-world physical AI robotics
- Endogenous Exploration in Reinforcement Learning with Intrinsic Curiosity
- Algorithmic Information Dynamics of Learning: A Certified, Differentiable Complexity Controller for Grokking
- HACHIMI-II: From Role-Play to Learner Behavior Modeling for Faithful Student Simulation
- Decision language models as affordable and rapid alternatives to LLM judges of clinical generative AI
- Why Read a Research Paper When You Can Turn It Into an AI Agent?
- AegisFlow: A Multi-Agent Agentic AI Framework for Autonomous Remediation and Self-Healing in Fragile Data Ecosystems
- Synthesizing symbolic models of human and machine reasoning at scale
- OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery
- The Moral Check: Strategic AI Governance for the Pacing Problem
- Bounded Autonomy and Verifiable Safety for Agentic AI Enabled Automation
- Unsnarling the Red Tape: Computational Infrastructure for Regulatory Systems
- Objective-Conditioned Active Preference Learning for Multi-Objective Alignment
- Designing an AI serving harness built to last
- EvoBelief: Falsifiable World Models for Self-Improving LLM Agents
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 under scaling. 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
| 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 |