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 favourable items would move with how many were filtered out rather than with the discourse.
66 items read as favourable
- Asymmetric Decline Rather Than Backfire: A Repost-Network Analysis of Japanese Vaccine-Shedding Misinformation on X
- Designing an AI serving harness built to last
- Who Should We Listen to More? Welfare-Aware Preference Acquisition for Pluralistic Alignment
- Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy
- EvoBelief: Falsifiable World Models for Self-Improving LLM Agents
- The U.S. Nuclear Plant Fleet Is Leaning into AI
- AI Solves a Major Unsolved Math Problem. Not Everyone Is Happy
- AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
- Generative AI Gives Spacecraft the Autonomy Engineers Once Feared
- Agentic Economies for Autonomous Scientific Discovery
- Google's first Suncatcher orbital data center test launches October 1
- Safety Nudges: User-Facing Interventions for Real-Time AI Risk Awareness
- AutoGym: Blueprint-First Generation of Verifiable Agent Gyms
- Incipit: Axiom-Grounded Scaffolding for Human-AI Literary Creation
- Building the materials foundation for AI
- The AI-Enabled Scientific Frontier
- Using Codebooks to Detect Cybercrime Topics in Text Narratives
- How GPT-5.6 Sol helps run quantum computing experiments
- Learning by Collaborating in the Age of AI: Research Mentorship for Polymathic, Workflow-Centered Science
- Self-Evolving Harness on Multiple Tasks with the Agent as Its Own Optimizer
- TACS-RF: Tool-driven Agentic Circuit Synthesis of RF and mmWave Modules
- OpenAI claims to have solved maths problem that stumped humans for decades
- John Healey pledges to use budget to harness power of AI to bolster Britain’s security
- Community safety report and new protections for teens
- An Autonomous GeoAI Agent for Arctic Eco-Navigation
- CriticGen: Generation-Aware Evaluation as Actionable Feedback
- Detecting AI Training in Datacentre Power
- Workplace Ambiguity and Technology Support for Autistic and IDD Workers
- The Moving Frontier: How the National Justice Project Is Using Digital Technology to Expand Access to Justice
- Formally verifying agent-written full-stack web apps with PDD Kit
- Agent Harness Awareness: Turning Verified Telemetry into Operational Control for Tool-Using Agents
- AI agents run this automated biology lab that sequences DNA and more
- ‘Population collapse’ makes AI productivity gains vital, says top Meta executive
- Counterfactual assessment of social media interventions by separating exposure from engagement
- Could Abdul El-Sayed’s plan for AI companies stave off catastrophe? | Jerel Ezell
- ‘There is no inevitable dystopia’: Jeanette Winterson on AI and the future of humanity
- PolicyMediator: Multi-Regional Policy Learning through Mediation Agents with Evolving Skills in OPC Ecosystems
- Governed Sovereign RAG for Public Administration: Tripartite Epistemic Routing, Facet-Guided Clarification, and Deterministic Numeric Verification in Citizen Services
- DeepMind unveils Genie 4 world model promising more realistic physics and humans
- Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities
- A pedagogically guided LLM framework for scaffolding human-AI cocreation and preserving learners' agency and creativity
- OpenHamoye: A Multi-Scale Open Geospatial Intelligence Framework for Decision Support Across Nigeria
- UK to invest £100m in 'world first' AI Biosecurity Lab
- Probing and Steering for Safety-Relevant Behaviours in Large Language Models
- The Customer Is the Builder: How AI Coding Agents Are Rewriting the Economics of Software
- ClinGuard: a governance framework for reliable, transparent, and auditable clinical coordination
- The Privacy Paradox Is a Misnomer: Data Under Structural Uncertainty
- Situating Vulnerability: An Ethical Governance Framework for Anthropomorphic AI Interaction
- Solving a 31-year-old grand challenge in mathematics – the KLS conjecture
- Using thousands of AI agents to uncover new leads in biological data
- ValiAssist: Scaling LLM-generated Programming Feedback Validation by Demonstration
- SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents
- From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems
- Toxic algorithms wouldn't let them go - now Australia wants an off switch
- EvolvingBrain: An Adaptive Skill System for Multi-modal Agents Self-Evolution in Open Worlds
- L2G-SR: Learning to Guide LLM-based Symbolic Regression
- VEPA: Verified Evolving Formal Policy for Lifelong LLM Agent Guardrails
- CLEAT: Learning Value-Guided Clarification for Interactive Agents
- Transformer-Based Masked Diffusion Models Provably Learn Distributions with Latent Structure
- Improving social media for democratic discourse
- The Wisdom of Artificial Deliberative Crowds
- GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events
- Machine Unlearning for Speech Question Answering in Large Audio-Language Models
- ‘Multifunctional’ brain implant translates speech and gestures in real time
- Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models
- Google DeepMind Maps 9 Billion Possible DNA Variants
Across the whole window
The two tables below describe every item in the last 365 days. They are deliberately not narrowed by the reading filter (currently favourable), 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 |