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 · existential-risk · last 90 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
-56
Adverse
28 items · range -91 to +7
-100
-50
0
+50
+100
-56
Adverse readingFavourable reading
28 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
- 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"
- Anthropic researcher believes more than 10% chance AI 'could kill all humans'
- 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
- Could A.I. Really Kill All Humans?
- 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
- An Alien Mind
- A Hacking Tool Built With A.I. Can Breach Phones Without a Click
- Beyond Training: A Feasibility Taxonomy for Inference-Time AI Governance
- The AI policy window is open. We need to act.
- Will China deploy humanoid robots to fight?
- OpenAI's apparent maths breakthrough raises profound questions
- China’s Regulators Take Aim at “AI Boyfriends”
- AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
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 90 days under existential-risk. 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 |