All 2 tracked stories fall under one category: regulation. Of the tracked stories, 2 of 2 also mention Artificial Intelligence, the most common co-covered peer. Each story carries 7.5 original sources on average, compared with 3.1 for the broader beat in this window.
Figures are computed live from our source-verified story record
— see our methodology for how impact and
sentiment are derived.
What the coverage shows about Super Intelligence
All 2 tracked stories fall under one category: regulation. Of the tracked stories, 2 of 2 also mention Artificial Intelligence, the most common co-covered peer. Each story carries 7.5 original sources on average, compared with 3.1 for the broader beat in this window. At 5, the average consequence score sits below the same-window beat average of 6.6. This profile follows 2 AI stories mentioning Super Intelligence across the period from September 22, 2026 to September 23, 2026.
Stories tracked
2
Sources per story
7.5
Computed from the 2 stories linked to this entity, with beat comparisons drawn from all 20 AI stories published in the same date window. Shares are omitted below five stories and comparisons below a twenty-story baseline.
Coverage cohort
Appears alongside
Other entities that clear the same relevance threshold in stories also covering Super Intelligence. Shared-story counts are live from our verified record — not editorial picks.
The federal government's terminology for AI is shifting. President Trump's September 22 UN announcement directs all government documents to use 'super intelligence' instead of 'artificial intelligence' — a framing move with real weight for how AI is defined, regulated, and perceived. The administration paired the rename with a no-restrictions stance and a dismissal of existential-risk warnings.
President Trump's UNGA announcement that US documents will replace "artificial intelligence" with "super intelligence" (SI) creates immediate definitional friction for AI researchers, regulators, and standards bodies. The move conflates current machine learning systems with the long-standing technical concept of superintelligence. AI practitioners should track how agencies, labs, and platforms respond before updating internal taxonomies.
