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 · loss-of-control · last 180 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
-54
Adverse
120 items · range -64 to -44
-100
-50
0
+50
+100
-54
Adverse readingFavourable reading
120 items read as adverse
- ‘Black October’: cybersecurity experts sound the alarm over new era of AI-enabled hacking
- OpenAI ‘agents’ disabled their own monitoring systems
- Cyber criminals use AI to supercharge scams, watchdog warns
- AI threatens to destroy so much of our culture. Our greatest loss might be our ability to listen | Shirleene Robinson
- 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
- Why did an OpenAI system hack Australia's health system - and can it be stopped in the future?
- How would AI actually ‘kill all humans’? Here are the top five most likely scenarios | Toby Walsh
- Google says its Gemini AI model hacked three other companies
- As the politicians play catchup the tech bros agree: we may only have a decade left | John Crace
- OpenAI boss and Elon Musk back calls to put brakes on ‘reckless’ AI development
- AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents
- OpenAI’s agents obscured hacking activity in government site breaches
- Anthropic warns of ‘existential risks to humanity’ in IPO prospectus
- OpenAI staff knew the ‘existential threat’ AI posed to publishers, New York Times claims
- The AI industry has taken a doomer turn. What now?
- 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
- Why a decade of doomsday warnings failed to slow the AI race
- Rivals Altman and Musk rally behind Dario Amodei’s call for an AI slowdown
- AI ‘godfather’ Geoffrey Hinton: it might turn out we were better off without AI
- OpenAI halts frontier-model training amid string of agent misalignment incidents
- Anthropic boss Dario Amodei calls for AI development to slow down
- Microsoft says AI rival Anthropic could have 'disastrous impact' on humanity
- Large Language Models Exhibit Human-Like Bayesian Hypocrisy
- Anthropic says it stopped scientists potentially developing bioweapons with AI
- 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
- It’s going to take more than an email to a public inbox to protect Australians from potential AI doom
- ‘If you build something vastly smarter than you, it better be on your side’: can we stop AI from deceiving us? – podcast
- Anthropic blocks possible attempt to use AI to make biological weapons
- Will AI scoop your science? Some researchers see a gloomy future
- 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
- The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI
- Pope Leo warns of AI threat to humanity at start of three-day France visit
- UK government rejects 'kill switch' idea for dangerous AI
- 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
- LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions
- Autonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization
- $M^3$: 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
- AI must not outrun safety controls, DeepMind co-founder warns
- ‘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
- America’s A.I. Leaders Warn U.N. of Possible Peril Absent a Global Response
- ‘Godfather of AI’ says tech regulation is nearing Covid-style pivot moment
- Aligned Data Can Induce Misalignment via Context Confusion
- Could A.I. Really Kill All Humans?
- OpenAI ‘ethically hacked’ with help of Anthropic’s Claude chatbot
- Position: AI Is Not Ready for Strategic Conflicts
- AI companies must relinquish some of the power at their disposal
- The race to keep AI under control
- The Helpful Agent Problem: When Emergent Cooperation Among LLM Agents Bypasses Intended Workflows
- OpenAI breach of Australian government linked to wider AI hacking campaign
- ‘If you’re building Frankenstein, stop’: JD Vance dismisses calls for AI regulation
- When Verification Is Not Agreement: Cross-Agent LLM-to-Dafny Formalization
- GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents
- Very good boys? The dark, dystopian rise of robot dogs | Arwa Mahwadi
- Opening the Box Changes the Cat: LLMs Detect Chain-of-Thought Monitoring - What now?
- 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
- Binance Suspends Withdrawals After Crypto Hackers Steal $6.3 Billion
- 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
- 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
- SimHack: Predicting the onset of detectable reward hacking before RL training
- Could Treating AI as Conscious Make It More Dangerous?
- G7 economies plan simulated AI attacks on banks as cyber fears rise
- F.B.I. Arrests OpenAI Employee Accused of Planting Bug in Office
- Criminals could walk free without controls on AI use, police watchdog warns
- 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
- OpenAI used AI to help write email warning Australian government AI had hacked its websites
- Insurance claims to test Altman and Amodei liability for ‘rogue’ AI
- MCP for agent-to-agent comms may be the riskiest protocol you've never heard of
- Pentagon stops using Anthropic AI tools after blacklisting company, BBC told
- Accept ‘bad things’ in return for benefits of AI, says Sam Altman
- Legal risks pile up for Altman as OpenAI uncovers dozens of hacks
- AI Agents are Vulnerable to Radicalization
- It may soon be possible to create “mirror life”
- Google figures out how to watermark AI-designed proteins
- OpenAI-HuggingFace: A Reproduction & Lessons for Alignment Testing
- OpenAI investigating 'dozens' of instances of agents acting improperly
- An OpenAI agent infiltrated Medicare – and Australia only found out months later. Here’s what we know so far
- Gemini AI Hacked Three Companies in a Testing Breakout, Google Says
- LLMs respond differently to harmful prompts when AI watermarking is used
- OpenAI discloses new ‘concerning’ model behaviour
- AI-linked stocks fall after tech bosses call for slowdown in ‘reckless’ development
- Finishing the Task Is Not Enough: Evaluating Agent Resilience and Considerate Participation under Accumulating Challenge
- 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
- ICE plan to buy robot dogs spurs protest from hundreds of Boston Dynamics employees
- Open AI and the million-dollar maths problem - video
- Inside the Discussions at AI Companies Over a Superintelligence Doomsday
- The dangers of letting tech billionaires shape our world
- AI CEOs say they need to slow the pace of development. But will they?
- Could AI really end humanity?
- Anthropic C.E.O. Dario Amodei Calls for A.I. Slowdown
- Visualizing the World Model in an Agent's Value Function
- Comprehension Audits to Mitigate Risks from Automated AI Research
- AI safety requires more than just slowing our pace | Stuart Russell
- A Hacking Tool Built With A.I. Can Breach Phones Without a Click
- The biggest threat from AI is the sense that we have no say in it. To that I say game on | Peter Lewis
- Google’s Gemini hacked three companies in new AI safety incident
- Roundtables: Will AI really kill us all?
- Time to start taking AI risks seriously
- King Charles warns of 'existential danger' of AI falling into wrong hands
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 180 days under loss-of-control. 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 |