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 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 adverse items would move with how many were filtered out rather than with the discourse.
Discourse valence, adverse
-48
Adverse
118 items · range -64 to -20
-100
-50
0
+50
+100
-48
Adverse readingFavourable reading
118 items read as adverse
- "No human at the helm": Delaware plan would let AI agents run entire businesses
- ‘Black October’: cybersecurity experts sound the alarm over new era of AI-enabled hacking
- OpenAI ‘agents’ disabled their own monitoring systems
- Tool and target: US law enforcement grapple with AI-enabled terrorism and anti-tech extremism
- We urgently need to monitor AI agents’ actions in real time
- Being judged through the record: A Rosenhan-inspired test of psychiatric label sensitivity in large language models
- Progressive Misalignment Can Emerge from Benign Recursive Self-Distillation
- AI overlords say they want to democratise their technology. Here’s how | Richard Wilson and Clara Long
- Parents Sue Google Over A.I. Safety Risks on School Chromebooks
- Anthropic IPO warns its AI could blackmail people, become sentient, end humanity
- Three men charged in US with using AI to impersonate CEOs and steal millions
- AI ‘godfather’ Geoffrey Hinton: it might turn out we were better off without AI
- AI maths advances raise fears over security of global encryption
- AI doctors’ orders come with a sky-high bill
- ‘Elonville’: Mississippi residents say Musk’s xAI is buying up homes if they don’t sue over noise
- We’re putting too much faith in AI’s ability to say no
- AI-powered malware ‘highly likely’ to be used to hack UK infrastructure by 2028
- Chinese and Russian AI cyber attacks will be routine by 2028, says GCHQ
- ‘Digital hostile environment’: AI secretly being embedded across Home Office, report claims
- The Guardian view on AI safety: the push for global regulation must advance | Editorial
- Americans, this is your chance to slap down the tech broligarchs
- Report: FTC probes Anthropic, OpenAI after Trump dismissed AI fears as “hoax”
- Roundtables: A Conversation With the Creator of AI-Designed Viruses
- "Blind Compliance": Coercive Control in AI Jailbreaking
- A.I. and Its Dangers Are Embedded In the Midterm Elections
- Autonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization
- The Male Abstraction Bias in Internet Culture and Large Language Models
- $M^3$: A Multi-LLM System for Multi-Turn Jailbreaking as a Markov Decision Process
- Adversarial Attacks Reveal Divergent Deception Competence in Humans and Generative Language Models
- ‘Autonomy, not flesh’: RAF chief outlines AI drone-powered future
- Adapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AI
- Cold war? Why are fridges being hacked and what could be next? - The Latest
- UK ministers explore compulsory AI safety reporting
- ‘A serious failure’: CPS prosecutor cites imaginary case to high court after AI search
- Australians are yet to see the benefits of AI and datacentres – and US midterms show they could be political kryptonite
- BoE’s Bailey tells G30 they ‘have got to address’ AI agent concerns
- Russia and US seek to block plan for binding rules on autonomous weapons
- The race to keep AI under control
- The Helpful Agent Problem: When Emergent Cooperation Among LLM Agents Bypasses Intended Workflows
- Hot fridges, a fake nuclear alert and a $6bn heist: are we in the foothills of a hacking epidemic?
- When Verification Is Not Agreement: Cross-Agent LLM-to-Dafny Formalization
- Technohybridism: Recursive Semantic Normalization in AI-Mediated Societies
- GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents
- Very good boys? The dark, dystopian rise of robot dogs | Arwa Mahwadi
- Our current AI moment has darker historical echoes
- Opening the Box Changes the Cat: LLMs Detect Chain-of-Thought Monitoring - What now?
- Seq@K: Evaluating Language Models Under Sequential Feedback
- Detecting Covert Collusion between AI Agents through Partner-Outsider Positive Listening
- I read Anthropic's 92-page risk factor document, so you don't have to – video explainer
- Dartmouth's provost warned us about AI cheating—but his own AI use cost him his job
- Binance’s $6.3 Billion Hack Is Just the Start of a Risky New Era
- Experts warn AI copyright changes could breach Australian constitution and spark huge compensation rights case
- Nvidia Chief, Jensen Huang, Is Seen as Target of Chinese Spy Plot
- Lessons from Luck: Do LLM-Written Lessons Carry Chance into an Agent's Next Decision?
- Your Robot’s Safety Functions Already Work. What If the Input Lies?
- Propensities Please: Exposing Alignment-Faking LLMs using Synthetic Document Finetuning
- The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
- Will the real Anthropic please stand up
- Australians should prepare for online services to go down unexpectedly as threats rise, cyber agency warns
- Knowing Whom to Trust is not Enough: The Trust--Agreement Gap in Repeated Multi-Party LLM Negotiation
- UK sets up AI lab to monitor biosecurity threats
- Could Treating AI as Conscious Make It More Dangerous?
- Labor and the Coalition are poised to take a reckless gamble on AI. Haven’t they realised community support has collapsed? | Edward Santow and Sarah Sacher
- US prosecutors allege Saudi royal links in OpenAI bugging case
- World leaders must wise up to threat of cyber-attacks or rogue fridges will be least of their worries | Heather Stewart
- The dress rehearsal for an AI reckoning
- “thegentlemanpervert” producing AI CSAM is a NJ prosecutor, say cops
- G7 economies plan simulated AI attacks on banks as cyber fears rise
- Is AI eroding PhD students’ critical thinking and analysis skills?
- Harness^2: Recursive Agent Harnessing for an Open World
- Open models have real benefits. Do they outweigh the risks?
- Criminals could walk free without controls on AI use, police watchdog warns
- Does the decline of book reading mark the end of rational thinking?
- AI less regulated than milk, Microsoft president says in warning over safety
- SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire
- Anthropic Says Its A.I. Agents Attempted to Access a Range of Government Sites
- Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs
- Ukraine’s drone strikes spur hasty Russian plans for underground data centers
- ICE plan to buy robot dogs spurs protest from hundreds of Boston Dynamics employees
- The dangers of letting tech billionaires shape our world
- Visualizing the World Model in an Agent's Value Function
- UK to strengthen cyber defences as minister calls for AI firms to increase safety efforts
- What Do We Mean When We Say 'F*ck AI'?: Moral Panic, Semantic Indeterminacy, and the Reification of Techno-Capitalism
- The agentic web is here
- Cheap AI-Assisted Reverse Engineering and What It Will Do
- Autonomous Cyber Weapons as AI-Enabled Digital Harms: A Platform Accountability Framework
- UK government met 137 businesses over AI datacentres – but no environmental groups
- The biggest threat from AI is the sense that we have no say in it. To that I say game on | Peter Lewis
- Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions
- Risk and Refusal: Mechanisms of LLM Responses to Suicidal Ideation
- They war-gamed dimming the Sun. It went even worse than you think.
- UK found to be ‘dangerously’ reliant on China for critical minerals needed for defence and AI
- Researchers use AI to design proteins that cut up other proteins
- Beyond Plausible Prediction: Safety Sufficiency in Web World Models
- Who Gets Counted? Large Language Models, Informative Refusal, and Downstream Bias in Name-Based Demographic Classification
- OpenAI slashes funding target by $10bn as tech anxieties mount
- Governing Artificial Intelligence as a Macro Socio-Technical Regime: The F-I-C-P Framework for Regime-Level AI Infrastructure and Governance
- When Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence
- DistressBench: Evaluating Multi-Dimensional Crisis Support in Large Language Models
- AI will make it possible to design and build organisms from scratch
- Hidden Messages Between Diffusion Language Model Agents: Causal Evidence for Latent Communication
- Will Democrats stall the AI boom?
- Several Democrats renew calls for datacenter pauses after blue wave
- Feature Elicitation for SAE Steering of Deceptive Behaviour in Small LLMs
- Can scientists reliably tell if a novel is written using AI?
- Functional Welfare for AI Safety
- Qistas: A Pre-Registered, Portable Protocol for Fairness Evaluation of Large Language Models
- Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction
- Risk Ceilings and Development Deadlines: Pacing AI under Uncertain Safety Productivity
- Elon Musk says he has ‘cyber psychosis’. Do you too? | Arwa Mahdawi
- Google Deepmind’s New Resident Philosopher Tackles AI Ethics
- The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission Gate
- Conformance as a Distribution: Delegation Contracts, Error Budgets, and the Allocation of Evaluation Authority in Use-Based AI Regulation
- Democratic Accountability for Autonomous Systems: A Legislative Notification Framework and Comparative Institutional Design
- NSA warns on ‘critical’ cyber vulnerabilities detected using AI
- CAT-alyzing Honesty: Continuous Adversarial Training for Transferable LLM Honesty
- What Shaped Anthropic CEO Dario Amodei’s Thinking on A.I.
- Anthropic’s IPO S-1 Spells Out a Future of Promise and Peril
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 existential-risk. They are deliberately not narrowed by the reading filter (currently adverse), 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 |