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.


Range
Mean discourse valence per day · scaling · last 90 days
-100-500+50+100 2026-09-10: +4 (1 items)2026-09-11: -79 (1 items)2026-09-12: -34 (2 items)2026-09-14: -41 (4 items)2026-09-15: -35 (10 items)2026-09-16: -1 (3 items)2026-09-17: -27 (3 items)2026-09-18: -12 (3 items)2026-09-21: -32 (2 items)2026-09-22: +9 (2 items)2026-09-23: +11 (2 items)2026-09-25: +9 (2 items)2026-09-28: -1 (2 items)2026-09-30: -25 (4 items)2026-10-01: -6 (3 items)2026-10-05: -25 (4 items)2026-10-06: -71 (1 items)2026-10-07: -14 (6 items)2026-10-08: -8 (3 items)2026-10-09: -14 (4 items)2026-10-12: -17 (7 items)2026-10-13: -40 (2 items)2026-10-14: -14 (3 items)2026-10-15: -28 (5 items)2026-10-16: -4 (7 items)2026-10-17: -50 (1 items)2026-10-19: -69 (1 items)2026-10-21: +5 (7 items)2026-10-22: -50 (1 items)2026-10-23: -16 (2 items)2026-10-26: -51 (1 items)2026-10-27: +24 (4 items)2026-10-28: -15 (4 items)2026-10-31: -20 (2 items)2026-11-04: -50 (1 items)2026-11-05: +29 (4 items)2026-11-06: -15 (5 items) 2026-09-10 2026-11-06

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 mixed or uncertain items would move with how many were filtered out rather than with the discourse.

Discourse valence, mixed or uncertain
-2
Mixed or uncertain
56 items · range -17 to +18
Adverse readingFavourable reading
Mean across the 56 items matching this filter under scaling in the last 90 days.

56 items read as mixed or uncertain

3592
discovered, all time
994
passed triage
2596
rejected at triage
3506
model assessments
718
multi-model panels
1795
distinct claims tracked

Across the whole window

The two tables below describe every item in the last 90 days under scaling. They are deliberately not narrowed by the reading filter (currently mixed or uncertain), because a mean taken only over items already selected for their score would just restate the filter.

By topic

TopicBranchItemsMeanPosition
Existential and catastrophic risk risk 572 -42
Governance and regulation structural 464 -31
Concentration of power risk 458 -37
Loss of control and alignment risk 339 -49
Human agency and epistemics risk 170 -25
Cyber capability risk 166 -44
Evaluation and measurement structural 160 -19
Scaling and architecture structural 137 -16
AGI and timelines structural 132 -29
Synthetic media and manipulation risk 107 -44
Employment and displacement risk 63 -31
Medicine and health benefit 44 -15
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.

SourceKindTierItemsMean
The Guardian: Artificial Intelligencenews1242-52
arXiv cs.CY (Computers and Society)academic1222-24
Financial Times: Artificial Intelligencenews1115-40
arXiv cs.AIacademic199-15
The New York Times: Technologynews161-36
Ars Technica: AInews159-51
MIT Technology Review: AInews134-42
Natureacademic131-25
BBC News: Technologynews129-35
OpenAIlab124-8
arXiv cs.LG (Machine Learning)academic124-16
IEEE Spectrum: AInews119-19
The Economist: Science and Technologynews110-37
CSET, Georgetowngovernment19-37
Microsoft Researchlab180
Google DeepMindlab16-4
Google AI Bloglab12-9