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.
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.
96 items read as adverse
- "No human at the helm": Delaware plan would let AI agents run entire businesses
- OpenAI ‘agents’ disabled their own monitoring systems
- 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
- Securing the agentic enterprise with data lineage
- AI maths advances raise fears over security of global encryption
- ‘Elonville’: Mississippi residents say Musk’s xAI is buying up homes if they don’t sue over noise
- Operationalizing NCII and CSAM Law in the Age of AI: Open Problems
- ‘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
- Report: FTC probes Anthropic, OpenAI after Trump dismissed AI fears as “hoax”
- 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
- AI is less regulated than milk, says Microsoft president
- UK ministers explore compulsory AI safety reporting
- Making the internet better for AI agents might make it worse for everyone else
- 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
- “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.
- How Generative AI Redefines Personalization and Diversity in the Newsroom
- The Popular Get More Popular: Auditing Brand Bias in Generative Search
- 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
- 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?
- Palantir AI tech unused or little used by 29 NHS trusts said to be benefiting from it
- Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis
- Experts warn AI copyright changes could breach Australian constitution and spark huge compensation rights case
- Trump declares robot imports a national security threat
- AI bots flooded 2023 UK government consultation on disposable vapes ban
- AI-hallucinated citations should be treated as research misconduct
- 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
- Anthropic’s Claude AI model accessed Georgia voter data in US
- 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
- 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
- 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
- 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
- VoteGEO-Bench: Measuring the Impact of Generative Engine Optimization on Electoral Visibility
- The AI boom stumbles
- AFL tells Sportsbet to stop using players in AI generated content
- Criminals could walk free without controls on AI use, police watchdog warns
- AI less regulated than milk, Microsoft president says in warning over safety
- Ukraine’s drones knock out AI data center belonging to "Russia’s Google"
- Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs
- Stronger artificial intelligence breakthroughs hasten their own exhaustion
- Atlas of MICCAI: 28 Years of Representation, Collaboration, and the Road to Inclusion
- Gender, Sexual Orientation, and the One-Year Refugee Bar: A Computational Study of Bill C-12 and Canadian Refugee Adjudication
- The GenAI Who Knew Too Little: Revisiting Transactive Memory Systems in Human GenAI Collaboration
- ChronoCulture: Evaluating Cultural Awareness Across Time in Large Language Models
- 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
- 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
- Prefigured forgetting. Memory, the right to be forgotten and artificial intelligence
- Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions
- Who Can Evaluate AI Independently? A Framework for Analysing Evaluation Infrastructure
- UK found to be ‘dangerously’ reliant on China for critical minerals needed for defence and AI
- OpenAI slashes funding target by $10bn as tech anxieties mount
- Executives play catch-up as AI governance risks evolve
- Governing Artificial Intelligence as a Macro Socio-Technical Regime: The F-I-C-P Framework for Regime-Level AI Infrastructure and Governance
- ‘Know Your Agent’ will be the new rule of the AI age
- Will Democrats stall the AI boom?
- NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting
- Several Democrats renew calls for datacenter pauses after blue wave
- Elon Musk Says SpaceX and Tesla Are Exploring a Merger
- A misinformation playbook sharpens judgement without breeding cynicism
- China’s block on SoftBank deal fires the starting gun on the robot wars
- The future of the firm
- Qistas: A Pre-Registered, Portable Protocol for Fairness Evaluation of Large Language Models
- Risk Ceilings and Development Deadlines: Pacing AI under Uncertain Safety Productivity
- Conditional Values: The Contingent Foundations of Attitudes toward Artificial Intelligence
- David Pocock concerned senior Albanese adviser ‘vetted’ bipartisan AI letter that was sent to PM
- Google AI gets cagey when asked who won the 2020 elections
- What does human inquiry even mean anymore?
- Google Deepmind’s New Resident Philosopher Tackles AI Ethics
- 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
- AusClinBench: a deterministically scored benchmark of large language models against current Australian clinical policy
- U.S. State Guidance on AI in K-12 Education: A Comparative Content and Citation Analysis
Across the whole window
The two tables below describe every item in the last 30 days under governance. 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 |