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 · power-concentration · last 365 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 strongly adverse items would move with how many were filtered out rather than with the discourse.
Discourse valence, strongly adverse
-73
Strongly adverse
68 items · range -92 to -65
-100
-50
0
+50
+100
-73
Adverse readingFavourable reading
68 items read as strongly adverse
- The Price of Greenwashing: Algorithmic Verification and Market Discipline using Conformal Machine Learning
- Georgia holds emergency meeting on AI exposing voters’ secret ballots
- AI weapons systems are already here. Algorithms must not decide who lives and dies | Kenneth Roth
- Microsoft exec called AI scraping the “largest theft of labor in human history”
- Meta continues to run ads promoting child sexual abuse material in India - report
- OpenAI safety leader quits, warning AI company’s culture is ‘broken’
- AI chatbots remove hijabs from images of Muslim women when prompted
- The Guardian view on NAZA’s persecuted directors: journalism is not treason | Editorial
- Australia has done precious little to prepare for the dangers of AI. Where is brilliant leadership when you need it? | Zoe Daniel
- Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities
- Trump admin using AI to deny medical care for seniors in disastrous experiment
- Auditing AI-Washing in German Startups: A Mixed-Methods Study of Marketing Claims and Perceptions
- Artificial Intimacy — Sherry Turkle’s stark warning against AI ‘companionship’
- The Concentration of Artificial Intelligence in Big Tech and Its Implications for Human Rights in the European Union
- Gavin Newsom signs laws to protect California workers from AI threat
- Stop shaming people for using AI. Start organizing to prevent our obsolescence | Garrison Lovely
- Physiognomy Revisited: How Vision-Language Models Encode Sensitive Attributes Through Image Transformation
- When LLMs Manipulate: Measuring Behavioral, Social, and Temporal Effects
- Anthropic’s IPO pitch includes a warning about human extinction
- Anthropic researcher quits over AI labs ‘gambling with our lives’
- Small AI models let drones autonomously identify and attack battlefield targets
- Understanding AI Provider Recommendations in Local Service Markets
- AI threatens democracy. But we are not powerless: here’s how to fight back | Carine Fouteau
- OpenAI scraps release of new model over safety concerns in internal testing
- Lawsuit demands OpenAI pay for new school after ChatGPT used in shooting
- 4 ways to address the failures we found along the US border’s “virtual wall”
- Iran and China Create First-of-Their-Kind Autonomous A.I. Influence Campaigns
- Allowing AI firms to collude to ‘pace the frontier’ is a dangerous proposition
- OpenAI halts training of latest models as reports mount of AI agents going rogue
- The era of AI warfare has arrived
- Is your boss watching you? The rise of AI surveillance at work - video
- One Nation’s AI video is vile and tired – but the ensloppification of Australian politics doesn’t stop there
- Drax datacentre could create nearly twice the yearly emissions of all Gatwick flights
- OpenAI to reiterate apology to Australia over Medicare hack as inquiry told artists risk becoming ‘roadkill’
- The Triumph of Tech-Fueled Propaganda
- Russia’s Latest Propaganda? A.I.-Generated War Songs.
- Teachers at Euan Blair firm report ‘horrendous stress’ after AI used to rate their work
- Broken promises, confiscated land: the hyperscale AI datacentre being built in a tiny Indian village
- Roundtables: The Deadly Failures of The Virtual Border Wall
- Big Tech claims voters’ AI backlash is “anti-Trump” not “anti-tech”
- LLM Recommenders Produce Demographic Inequality Through Content Preferences
- AI is stealing Indigenous Australian art and churning out ‘Temu slop’, artist says
- AI ‘deepfakes’ give US political attack ads a new twist
- RFK Jr. thinks AI will free us from the "tyranny" of medical facts, expertise
- OpenAI sued by Canadian province over role in mass shooting
- Labor unions must unite against AI datacenters | Tyler Turner
- The Domestic Unprotected Zone: Algorithmic Governance and the Reproduction of Perpetrator Discourse in Conversational AI
- ChatGPT as a Surveillance Assistant? An Exploratory Case Study of AI-Assisted Surveillance Risks
- Police use facial recognition to scan one million faces in WA trial leading to 122 arrests
- Generative AI Produces and Transmits Beauty Bias
- Anthropic ‘warns of existential AI risks to humanity’ in IPO document
- AI makes it “easier than ever” for adversaries to target U.S. military, experts say
- ‘Someone else will do it for less’: Refugees in Kenya are powering tech for dwindling pay
- Court Tosses Sentence After A.I. Video of Victim ‘Forgiving’ His Killer Is Played
- White Men Without Degrees Receive the Lowest Ratings from Large Language Models
- Inside Microsoft and OpenAI, Worry About Damaging the Publishing Industry
- How a Blacklisted Chinese Tech Giant Kept Buying America’s Best A.I. Chips
- An AI sovereign wealth fund isn’t progressive — it’s techno-imperialism
- Court rules Trump can blacklist Anthropic for refusing to enable Claude features
- Misuse of AI is brands’ top reputational threat, new survey says
- Will it be AI or the climate crisis that ends humanity? We can make it neither | Adam McKay and Philip Eubanks
- AI and The Enclosure of the Scientific Commons
- Information Operations Exploit APIs to Manipulate Social Media
- Political Sorting Can Drive AI Models Apart Through User Feedback
- When Who You Are Can Change the Code You Get: A Study of Persona-Induced Bias in LLM Code Generation
- Tasmanian justice department review under way after AI and fake citation used in murderer’s parole decision
- ‘Tidal wave’ of Pfas being launched to satisfy AI industry, campaigners warn
- Six Chinese AI firms accused of aggressively copying US frontier models
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 365 days under power-concentration. They are deliberately not narrowed by the reading filter (currently strongly 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 |