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
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
-53
Adverse
120 items · range -64 to -50
-100
-50
0
+50
+100
-53
Adverse readingFavourable reading
120 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
- Students fear AI is about to kill their future
- Progressive Misalignment Can Emerge from Benign Recursive Self-Distillation
- The Capability Transfer: Cohort Reversal, Codified Expertise, and the Adaptability Tax of AI Transformation
- Whose Data, Whose Benchmark? A User-Centric Framework for Auditing Evaluation Resources
- 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
- Securing the agentic enterprise with data lineage
- 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
- Representation Alignment from a Few Paired Data via Distilled Optimal Transport
- 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
- Operationalizing NCII and CSAM Law in the Age of AI: Open Problems
- 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
- AI’s mathematics blitz pushes science into strange new territory
- 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
- Albanese government warned it’s ‘sleepwalking into another robodebt scenario’ over use of algorithms and AI
- How A.I. Is Making It Easier Than Ever to Microtarget Voters
- $M^3$: 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 is less regulated than milk, says Microsoft president
- ‘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
- The focus on AI safety disasters ignores everyday harms
- UK ministers explore compulsory AI safety reporting
- ‘A serious failure’: CPS prosecutor cites imaginary case to high court after AI search
- Making the internet better for AI agents might make it worse for everyone else
- Australians are yet to see the benefits of AI and datacentres – and US midterms show they could be political kryptonite
- AI evaluators favor job applications written by certain AI models, independent of candidate quality
- Thousands of “ghost students” use AI to steal millions in student loans, DOJ says
- 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
- Activists across Europe prepare two days of protests against datacentres
- 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?
- “Does Meta think we can’t read?” Meta abandons sketchy commercial terms update.
- I watched a humanoid robot clean my apartment. It felt like a taste of the future.
- When Verification Is Not Agreement: Cross-Agent LLM-to-Dafny Formalization
- Technohybridism: Recursive Semantic Normalization in AI-Mediated Societies
- How Generative AI Redefines Personalization and Diversity in the Newsroom
- The Popular Get More Popular: Auditing Brand Bias in Generative Search
- GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents
- The hidden cost of flexible work in academia: women do more parenting
- Scare campaigns: Victoria’s major parties trade blows over AI-generated videos of leaders in election ads
- Voters Rejected A.I. in the Midterms. Now Comes an Era of Scrutiny.
- OpenAI’s approach to mathematics does not add up
- Very good boys? The dark, dystopian rise of robot dogs | Arwa Mahwadi
- Democratic governors elected on promises to stop data centre building
- Our current AI moment has darker historical echoes
- Will AI grant reviews make science more conservative?
- Opening the Box Changes the Cat: LLMs Detect Chain-of-Thought Monitoring - What now?
- Palantir AI tech unused or little used by 29 NHS trusts said to be benefiting from it
- Language Non-Invariance in the Ideological Evaluation of Large Language Models
- Seq@K: Evaluating Language Models Under Sequential Feedback
- Detecting Covert Collusion between AI Agents through Partner-Outsider Positive Listening
- Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis
- What Does an Ontology Catch? Curated, LLM-Generated and Data-Derived Ontologies as Checkers of LLM Agents over Knowledge Graphs
- 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
- Binance Suspends Withdrawals After Crypto Hackers Steal $6.3 Billion
- Trump declares robot imports a national security threat
- What is it like to work when your co-workers are AI agents?
- 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?
- AI bots flooded 2023 UK government consultation on disposable vapes ban
- Your Robot’s Safety Functions Already Work. What If the Input Lies?
- AI-hallucinated citations should be treated as research misconduct
- Propensities Please: Exposing Alignment-Faking LLMs using Synthetic Document Finetuning
- The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
- In a rush to lure AI companies, the Australian government risks undoing a creative ecosystem that has taken decades to build | Dan Guthrie
- Will the real Anthropic please stand up
- Anthropic’s Claude AI model accessed Georgia voter data in US
- 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
- Generalized green and red concepts for artificial intelligence, big data, and information and communication technologies: Multidimensional framework and countermeasures
- Pegasus spyware founder urges governments to trust his tech and ditch US AI
- UK sets up AI lab to monitor biosecurity threats
- Opposition deepfake video sparks outrage in Spain ahead of election
- AI oversight needs a different model to banking
- Fixing Britain’s welfare state and the limits of AI policymaking
- SimHack: Predicting the onset of detectable reward hacking before RL training
- AI firms say UK has a year to head off datacentre protests before construction is threatened
- Meta Ordered to Pay $25 Billion for Deceiving Users on Privacy
- Could Treating AI as Conscious Make It More Dangerous?
- Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?
- 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
- China’s villages pay the price for Beijing’s AI ambitions
- US bans DeepSeek AI from government use as tech tension with China continues
- US prosecutors allege Saudi royal links in OpenAI bugging case
- We need to stop disinformation in UK political adverts. Here’s a chance to do so | Letter
- World leaders must wise up to threat of cyber-attacks or rogue fridges will be least of their worries | Heather Stewart
- Inside the long, bitter fight over one man’s quest to build the biggest AI datacenter in California
- 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
- VoteGEO-Bench: Measuring the Impact of Generative Engine Optimization on Electoral Visibility
- The AI boom stumbles
- Proof-based general-purpose computing with Magnetar
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. 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 |