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Media's AI Pivot
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SMART Stories shows its CRDT working

4 min read
17:21UTC

An EVS-led whiteboard at mpts.london on Thursday 14 May revealed the SMART Stories Story Object Model as a conflict-free replicated data type, six weeks after the consortium launch on 30 April, with Trint contributing a live-news interface mock and a full proof of concept targeted at IBC 2026.

IndustryDeveloping
Key takeaway

SMART Stories revealed a CRDT-based Story Object Model at mpts.london on 14 May, with IBC 2026 the proof-of-concept deadline.

SMART STORIES showed its first public architectural detail at the mpts.london conference on Thursday 14 May, six weeks after the consortium launch announcement on 30 April . An EVS-led whiteboard, photographed during the talk, sets out the Story Object Model (SOM) as a conflict-free replicated data type (CRDT), the same data structure that powers Figma and Google Docs, synchronising news context across Local and Regional altitudes within a newsroom and between newsrooms.

The runtime architecture splits into three regions. LIVE ingests feeds through a router into Ksender, Kvideo and IVR modules, with a Cerebrum reasoning agent and ViaMap and Social sub-skills sitting above the router. NEARLIVE is the store layer, with Moments Lab indexing records at two altitudes: a Local SOM per newsroom and a Regional SOM per region, sync arrows pointing both ways. DISTRO runs Skills against the store and feeds Web, Bing and Trace output adapters.

Trint contributed a live-news interface mock, framed as "Breaking News, Croatia Interview", that shows four SOM behaviours: known story state, AI-monitored transcript matching against the current premise, context-based flagging of new facts (the example used was "death toll now 12") with verification-required tagging, and a Live Quote Finder that surfaces soundbites against organisation-specific Skills plus the current story context.

SMART STORIES is selling Skills as the moat. The pitch from the stage was: "BBC Skills run BBC standards. ITN Skills run ITN's. Framework open. Workflow yours." Read as competitive strategy, this puts an open protocol layer underneath proprietary editorial DNA, the inverse of the Avid plus Google Cloud stack announced at NAB 2026 , which buries a single vendor's intelligence layer underneath proprietary newsroom output. Skills carry the moat: shared transport, defended editorial judgment, which means broadcaster IP stays inside the building while transport interoperates. AP, juggling concurrent newsroom buyouts , is a full consortium member; the editorial test is whether the open layer survives contact with members whose first-party labour position is shrinking.

Governance and transport remain open questions. Trint's framing of an editor "publishing back to the bus" implies a pub/sub message layer, which puts the choice between MQTT, NATS or a custom protocol on the standards committee, and the choice between SMPTE, AMWA NMOS, EBU or a new body on the governance question. The full proof of concept is due at IBC 2026 in Amsterdam, 11 to 14 September.

Deep Analysis

In plain English

SMART Stories is a project involving nine major news organisations, including the BBC, AP, NBCUniversal and Sky, to build a shared technology standard for AI-assisted news production. Think of it as agreeing on a common file format for news stories so that AI tools from different companies can all read and update the same story without conflicts. On 14 May they explained in public for the first time exactly how that shared format works technically. It uses a data structure called a CRDT, the same technology that powers Google Docs' real-time collaboration, so that multiple AI agents can edit the same story simultaneously without overwriting each other's work.

Deep Analysis
Root Causes

The CRDT architecture reflects a core structural problem in multi-organisation agentic production: traditional databases require a single source of truth, which in a consortium setting implies a single controlling entity.

The SMART Stories consortium spans BBC, ITN, AP, NBCUniversal, Channel 4, Sky, ITV, Al Jazeera and The Washington Post: all compete editorially and cannot cede data sovereignty to a single vendor or member. A CRDT-based SOM solves this by making the story object self-resolving: any node can write, and the CRDT merge function determines the canonical state without requiring a central arbiter.

The three-layer runtime architecture (LIVE / NEARLIVE / DISTRO) is also a response to a structural newsroom reality: different production speeds require different data freshness guarantees. LIVE needs sub-second synchronisation for breaking news; NEARLIVE can tolerate seconds to minutes; DISTRO (Skills feeding web and syndication outputs) can tolerate minutes to hours. A single data layer cannot serve all three simultaneously without throughput tradeoffs.

What could happen next?
  • Meaning

    The full proof of concept is due at IBC Amsterdam on 11-14 September 2026. If the consortium demonstrates a working multi-organisation CRDT at IBC, the pressure on Avid and Adobe to publish NMOS-compatible APIs for their agentic editing products will intensify materially before year-end. AP's concurrent buyout of journalists (ID:3190) is the stress test: whether an open-standard agentic layer can absorb the editorial workload of a reduced human newsroom is the question the IBC demo must answer.

First Reported In

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Bloomberg· 17 May 2026
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