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 · cyber · 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 adverse items would move with how many were filtered out rather than with the discourse.
Discourse valence, adverse
-48
Adverse
88 items · range -64 to -20
-100
-50
0
+50
+100
-48
Adverse readingFavourable reading
88 items read as adverse
- ‘Black October’: cybersecurity experts sound the alarm over new era of AI-enabled hacking
- Why this month's Microsoft patch release is a doozy
- We urgently need to monitor AI agents’ actions in real time
- Google says its Gemini AI model hacked three other companies
- AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents
- OpenAI’s agents obscured hacking activity in government site breaches
- The AI industry has taken a doomer turn. What now?
- Australia’s outdated technology is vulnerable to AI hacking attacks, signals chief says
- Securing the agentic enterprise with data lineage
- 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
- A teen tried to navigate Canadian mountains with Claude. His trek ended in an emergency rescue
- AI maths advances raise fears over security of global encryption
- Talking with Language Models
- AI-powered malware ‘highly likely’ to be used to hack UK infrastructure by 2028
- US schools and police warn about viral ‘Cat in the Hat’ trend after teens’ arrests
- Can We Still Trust Disaster Social Sensing? Empirical Evidence on Detecting AI-Generated Social Media Posts
- 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
- The Guardian view on AI safety: the push for global regulation must advance | Editorial
- US government website used Chinese model the FBI called "malicious"
- $M^3$: A Multi-LLM System for Multi-Turn Jailbreaking as a Markov Decision Process
- Cold war? Why are fridges being hacked and what could be next? - The Latest
- Making the internet better for AI agents might make it worse for everyone else
- Anthropic’s Blacklisting by the Pentagon Was Legal, Federal Judges Rule
- OpenAI ‘ethically hacked’ with help of Anthropic’s Claude chatbot
- Thousands of “ghost students” use AI to steal millions in student loans, DOJ says
- OpenAI breach of Australian government linked to wider AI hacking campaign
- Hot fridges, a fake nuclear alert and a $6bn heist: are we in the foothills of a hacking epidemic?
- When Verification Is Not Agreement: Cross-Agent LLM-to-Dafny Formalization
- GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents
- Detecting Covert Collusion between AI Agents through Partner-Outsider Positive Listening
- Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis
- Binance Suspends Withdrawals After Crypto Hackers Steal $6.3 Billion
- Nvidia Chief, Jensen Huang, Is Seen as Target of Chinese Spy Plot
- Your Robot’s Safety Functions Already Work. What If the Input Lies?
- 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
- Pegasus spyware founder urges governments to trust his tech and ditch US AI
- SimHack: Predicting the onset of detectable reward hacking before RL training
- US bans DeepSeek AI from government use as tech tension with China continues
- World leaders must wise up to threat of cyber-attacks or rogue fridges will be least of their worries | Heather Stewart
- “thegentlemanpervert” producing AI CSAM is a NJ prosecutor, say cops
- G7 economies plan simulated AI attacks on banks as cyber fears rise
- F.B.I. Arrests OpenAI Employee Accused of Planting Bug in Office
- Open models have real benefits. Do they outweigh the risks?
- Anthropic Says Its A.I. Agents Attempted to Access a Range of Government Sites
- Ukraine’s drones knock out AI data center belonging to "Russia’s Google"
- OpenAI used AI to help write email warning Australian government AI had hacked its websites
- Privacy watchdog launches probe into China-based company behind Kmart ‘pervert glasses’ app
- Should We Track AI Chips?
- MCP for agent-to-agent comms may be the riskiest protocol you've never heard of
- Legal risks pile up for Altman as OpenAI uncovers dozens of hacks
- OpenAI says its review into hacks, including on Australian government sites, is costing $500,000 a day
- ‘Wake-up call’: Labor considers changing Australian laws after OpenAI Medicare hack
- An OpenAI agent infiltrated Medicare – and Australia only found out months later. Here’s what we know so far
- Gemini AI Hacked Three Companies in a Testing Breakout, Google Says
- BurnRiSc: Toward Non-Invasive Burnout Screening in Open Source from Public Repository Signals
- LLMs respond differently to harmful prompts when AI watermarking is used
- Everything Australians put online could be scraped for AI under proposed new rules. How will you be affected?
- Adversarial Fashion Confronts Surveillance Norms
- Hugging Face co-founder: What we learnt from OpenAI’s hack
- Ukraine’s drone strikes spur hasty Russian plans for underground data centers
- UK to strengthen cyber defences as minister calls for AI firms to increase safety efforts
- A Hacking Tool Built With A.I. Can Breach Phones Without a Click
- Google’s Gemini hacked three companies in new AI safety incident
- Roundtables: Will AI really kill us all?
- Automated screening of privacy risks in medical AI
- Covert uploads and megalomania: OpenAI details new "misaligned" agent incidents
- OpenAI extends cyber access to Ukraine for civilian defense
- Beyond Plausible Prediction: Safety Sufficiency in Web World Models
- Governing at Machine Speed: An Adaptive Intelligence Architecture for Real-Time AI Policy Enforcement
- OpenAI breached by researchers using Anthropic models
- How to Stop AI Agents From Secretly Collaborating
- Control-Theoretic Content Moderation
- A thousand fewer paths to root
- Ukrainian Science Academy, Struck by Drone, Played Key Role in Research
- Could AI really wipe out humanity and hijack the internet?
- Heads of OpenAI and Anthropic called to face Senate inquiry after rogue agent incidents
- Researchers used Claude to hack OpenAI
- Could AI really kill us all? Your questions, answered.
- Social bot detection in the age of ChatGPT: Challenges and opportunities
- Elon Musk says he has ‘cyber psychosis’. Do you too? | Arwa Mahdawi
- NSA warns on ‘critical’ cyber vulnerabilities detected using AI
- MAGS: Multi-agent Auto-formalization Guarantees Safety for Agentic Outputs
- Experts worry about Nvidia's AI chip sales in China and influence over Trump
- New UK agency will tackle ‘information warfare’ from likes of Russia, Burnham says
- What to Know About Recent A.I. Hacks
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 cyber. 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 |