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 30 days
The trend line needs at least two days of readings and there is one so far. It appears on its own once the pipeline has run across a second day. Today's readings are on the axis below.
Discourse valence, window mean
-35
Adverse
57 items · range -91 to +55
-100
-50
0
+50
+100
-35
Adverse readingFavourable reading
57 items scored in this window
- “This is the AI men actually use”: Meta ads pushed apps nudifying real teens
- Anthropic researchers say AI could cause human extinction by 2030
- Anthropic details bad actors’ efforts to misuse its AI for bioweapons
- Meta continues to run ads promoting child sexual abuse material in India - report
- Top US official named to OpenAI non-profit board warns advanced AI could be ‘deadly’
- Lawmakers blast AI companies after researcher warns of human extinction by 2030
- We have started losing control of AI. It’s time to shut it down | Garrison Lovely
- Anthropic researcher quits over AI labs ‘gambling with our lives’
- AI could kill all humans in next decade, warn experts: but how seriously should we take them?
- Man told ChatGPT he was feeling delusional. ChatGPT insisted he was Jesus.
- OpenAI not on track to reduce risk of ‘catastrophic’ loss of control, says board member
- Anthropic researcher quits with a warning: Self-improving AI could "kill us all"
- How a Blacklisted Chinese Tech Giant Kept Buying America’s Best A.I. Chips
- Anthropic researcher believes more than 10% chance AI 'could kill all humans'
- Six Chinese AI firms accused of aggressively copying US frontier models
- Why this month's Microsoft patch release is a doozy
- AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents
- Anthropic says it stopped scientists potentially developing bioweapons with AI
- More Anthropic researchers warn of AI’s perils as Musk terms fears a ‘psyop’
- Anthropic Researchers Raise Alarm Over A.I. Acceleration, Warning of Threat to Humanity
- Reading scores plummet as ‘digital distraction’ harms students
- What OpenAI’s latest controversy tells us about the future of math
- Could A.I. Really Kill All Humans?
- Hugging Face co-founder: What we learnt from OpenAI’s hack
- Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models
- OpenAI chief scientist warns no-one is prepared for consequences of AI
- Powering AI is an architecture problem
- An Alien Mind
- A Hacking Tool Built With A.I. Can Breach Phones Without a Click
- Anthropic withheld latest AI model from UK testing agency
- Beyond Training: A Feasibility Taxonomy for Inference-Time AI Governance
- Is AI about to produce explosive economic growth?
- The AI policy window is open. We need to act.
- Will China deploy humanoid robots to fight?
- Endorsement Without New Evidence: How Sequential Voting Inflates Mandates in Online Community Governance
- Total Simulated Survey Error: Designing and Diagnosing Survey Responses from Large Language Models
- Scalable Oversight for AI in Mental Health: Lessons from 350,000 AI Coaching Conversations between Therapy Sessions
- With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education
- OpenAI's apparent maths breakthrough raises profound questions
- OpenAI says it cracked 90-year-old maths problem in 88 hours
- Watermarks Without Verification: AI Text Watermarking After the EU AI Act
- Should promotion depend on how workers use AI?
- California’s Governor to Sign Landmark Online Child Safety Bills
- China’s Regulators Take Aim at “AI Boyfriends”
- AI Models Are Watermarking Text—Will You Notice?
- New AI health tools need ‘L-plates’, says UK review
- Labor wants Australians to be able to opt out of online algorithms. How will it change your feed?
- Democracy Needs Reach: Political Equality, Online Speech, and Algorithmic Recommendation
- OpenAI Says It Has Cracked One of Math’s ‘Millennium Problems’
- UK needs new laws for AI in healthcare, says watchdog
- Endogenous Exploration in Reinforcement Learning with Intrinsic Curiosity
- AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
- Early Data Indicates an A.I.-Generated Drug Could Slow Aging
- How GPT-5.6 Sol helps run quantum computing experiments
- OpenAI claims to have solved maths problem that stumped humans for decades
- CriticGen: Generation-Aware Evaluation as Actionable Feedback
- Google DeepMind Maps 9 Billion Possible DNA Variants
167
discovered, all time
57
passed triage
108
rejected at triage
230
model assessments
49
multi-model panels
112
distinct claims tracked
Across the whole window
The two tables below describe every item in the last 30 days. 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 | 28 | -56 | |
| AGI and timelines | structural | 21 | -37 | |
| Loss of control and alignment | risk | 21 | -66 | |
| Governance and regulation | structural | 19 | -20 | |
| Concentration of power | risk | 17 | -37 | |
| Evaluation and measurement | structural | 10 | -22 | |
| Scaling and architecture | structural | 9 | -8 | |
| Cyber capability | risk | 8 | -56 | |
| Human agency and epistemics | risk | 7 | -22 | |
| Synthetic media and manipulation | risk | 6 | -63 | |
| Medicine and health | benefit | 5 | +0 | |
| Biological and chemical uplift | risk | 4 | -20 | |
| Scientific acceleration | benefit | 4 | +17 | |
| Abundance and material wellbeing | benefit | 2 | -8 | |
| Compute and infrastructure | structural | 2 | -13 | |
| Education and access to expertise | benefit | 2 | -37 | |
| Climate and energy | structural | 1 | -46 | |
| Employment and displacement | risk | 1 | -5 | |
| Productivity and growth | benefit | 1 | -26 |
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 | 9 | -55 |
| Financial Times: Artificial Intelligence | news | 1 | 8 | -53 |
| arXiv cs.CY (Computers and Society) | academic | 1 | 8 | -26 |
| The New York Times: Technology | news | 1 | 7 | -31 |
| BBC News: Technology | news | 1 | 6 | -36 |
| Ars Technica: AI | news | 1 | 5 | -73 |
| OpenAI | lab | 1 | 3 | -17 |
| IEEE Spectrum: AI | news | 1 | 3 | +2 |
| MIT Technology Review: AI | news | 1 | 2 | -50 |
| arXiv cs.AI | academic | 1 | 2 | -8 |
| The Economist: Science and Technology | news | 1 | 1 | -16 |
| Google DeepMind | lab | 1 | 1 | +7 |
| CSET, Georgetown | government | 1 | 1 | -22 |
| arXiv cs.LG (Machine Learning) | academic | 1 | 1 | +4 |