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 90 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
-59
Adverse
120 items · range -64 to -54
-100
-50
0
+50
+100
-59
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
- Mirror publisher to cut 220 editorial jobs as readers turn to AI summaries
- Cyber criminals use AI to supercharge scams, watchdog warns
- Why this month's Microsoft patch release is a doozy
- AI threatens to destroy so much of our culture. Our greatest loss might be our ability to listen | Shirleene Robinson
- MoFlow: Multi-Objective Agentic Workflow Generation
- 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
- 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
- As White House shields the AI gold rush, Trump family and other allies strike it rich – with few guardrails
- 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
- Chatbots can exploit our most basic human drive for attachment. Here’s how to have healthier relationship with AI | Gaynor Parkin and Dave Winsborough
- 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
- Rightwing ‘great replacement’ fears mask tech's real great replacement | Jason Stanley
- Anthropic warns of ‘existential risks to humanity’ in IPO prospectus
- The Pentagon wants $30 million to build an AI-powered lie detector
- The Capability Transfer: Cohort Reversal, Codified Expertise, and the Adaptability Tax of AI Transformation
- The Ethics of Artificial Intelligence in Military Operations
- Halt super-intelligent AI with non-proliferation treaty, Ed Davey to say
- Trump rejects AI slowdown calls, launches "AI Force" instead
- OpenAI staff knew the ‘existential threat’ AI posed to publishers, New York Times claims
- Is Labor going to roll over for big tech – or will it protect the rights of everyday Australians? | Holly Rankin
- The AI industry has taken a doomer turn. What now?
- Australia’s outdated technology is vulnerable to AI hacking attacks, signals chief says
- As Australia faces an AI-generated future, a human rights act is needed more than ever
- ChatGPT-using lawyer punished for citing fake testimony from made-up witnesses
- Digital Labor Platforms as Infrastructure of Extractivism
- 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
- Who Acts, Who Knows, Who Answers? A Corpus-Assisted Discourse Analysis of Agency, Epistemic Responsibility, and Accountability in Generative AI Higher Education Research
- When AI Enters the Workplace, Who Faces Greater Risks? A Gendered Analysis
- Why a decade of doomsday warnings failed to slow the AI race
- UK MPs and Lords call for new laws to tackle AI threat to human rights
- Rivals Altman and Musk rally behind Dario Amodei’s call for an AI slowdown
- Tesla workers balk at training Optimus humanoid robots as replacements
- King Charles raises alarm over AI ahead of Burnham meeting with Trump
- 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
- A teen tried to navigate Canadian mountains with Claude. His trek ended in an emergency rescue
- The Confidence Game: Strategic Miscalibration in Human-AI Delegation
- AI could undermine scientific independence in subtle ways
- Argus: Academic Integrity in the Era of Generative AI
- OpenAI halts frontier-model training amid string of agent misalignment incidents
- As A.I. Accelerates, Governments Are Increasingly Being Left Behind
- Black Box: The Chatbots | Happy Accident | Ep 3 – podcast
- Anthropic boss Dario Amodei calls for AI development to slow down
- AI maths advances raise fears over security of global encryption
- AI doctors’ orders come with a sky-high bill
- Microsoft says AI rival Anthropic could have 'disastrous impact' on humanity
- Bernie Sanders and Steve Bannon call for curbs on AI at ‘pro-human’ summit
- Global pension funds cut US equities over AI concentration risk
- How big tech is building a military–industrial complex in the age of AI
- Trump unveils 'Super Intelligence Force' to oversee AI policy
- Large Language Models Exhibit Human-Like Bayesian Hypocrisy
- Anthropic says it stopped scientists potentially developing bioweapons with AI
- ‘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
- Talking with Language Models
- 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
- US schools and police warn about viral ‘Cat in the Hat’ trend after teens’ arrests
- Anthropic blocks possible attempt to use AI to make biological weapons
- Can We Still Trust Disaster Social Sensing? Empirical Evidence on Detecting AI-Generated Social Media Posts
- 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
- 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
- Pope Leo warns of AI threat to humanity at start of three-day France visit
- "We'll Fix It Later": Education, AI, and the Deferral of Privacy in EdTech
- UK government rejects 'kill switch' idea for dangerous AI
- AI’s mathematics blitz pushes science into strange new territory
- OpenAI claims to have solved hundreds of long-standing maths problems
- Report: FTC probes Anthropic, OpenAI after Trump dismissed AI fears as “hoax”
- Roundtables: A Conversation With the Creator of AI-Designed Viruses
- Navigating the Changing Landscape of Online Knowledge Consumption and Production in the Age of Generative AI: Evidence from Stack Overflow
- Reading scores plummet as ‘digital distraction’ harms students
- "Blind Compliance": Coercive Control in AI Jailbreaking
- A.I. and Its Dangers Are Embedded In the Midterm Elections
- LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions
- US government website used Chinese model the FBI called "malicious"
- 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
- What people in AI really think about regulation
- Why AI companies can’t be trusted to self-regulate
- How should investors position for the robot apocalypse?
- AI must not outrun safety controls, DeepMind co-founder warns
- What OpenAI’s latest controversy tells us about the future of math
- ‘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
- Superpowers cannot solve world’s problems, UN chief says in final general assembly address
- ‘Godfather of AI’ says tech regulation is nearing Covid-style pivot moment
- China’s spy agency warns of AI risk to national security
- Aligned Data Can Induce Misalignment via Context Confusion
- Warfare
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 90 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 |