The post appeared on X within hours of the strikes: “Anyone wanna host a get together in SF and pull this up on a 100 inch TV?” The dashboard being referenced was built by two people from Andreessen Horowitz, combining satellite imagery, ship tracking, news feeds, and a chat function with links to prediction markets — where users could bet on who Iran’s next supreme leader would be. The recent selection of Mojtaba Khamenei left some bettors with an actual payout.
That dashboard is one of at least 20 similar tools now catalogued by Craig Silverman, a digital investigations expert who teaches investigative techniques. Many were apparently built in a couple of days using AI coding tools. One attracted the attention of a founder of Palantir — the intelligence platform through which the US military is currently accessing AI models, including Anthropic‘s Claude, during the conflict.
The illusion of intelligence
The promise these tools sell is directness. “Just learned more in 30 seconds watching this map than reading or watching any major news network,” one commenter wrote on LinkedIn, responding to a visualization of Iran’s airspace closing before the strikes. Builders advertise their dashboards as a way to bypass slow, ineffective media and reach the truth on the ground.
Silverman is skeptical. “The concern,” he says, “is there’s an illusion of being on top of things and being in control, where all you’re really doing is just pulling in a ton of signals and not necessarily understanding what you’re seeing, or being able to pull out true insights from it.”
The dashboards tend to display everything simultaneously — strike locations in Iran sitting next to the prices of obscure cryptocurrencies. Many include AI-generated summaries of fast-moving events, which can introduce inaccuracies. By design, nothing is especially curated. Intelligence agencies pair raw data feeds with analysts who carry expertise and historical context. They also have access to proprietary information that never surfaces on the open web. These dashboards have neither.
A new wartime ecosystem
Several forces are converging to drive demand. AI coding tools have lowered the technical barrier to assembling open-source intelligence to near zero. The volume of fake content circulating during the conflict has pushed audiences toward anything that feels raw and unfiltered. Real-time prediction markets attach financial incentives to being well-informed. And the widely reported fact that the US military is using Claude — despite its classification as a supply chain risk — has sent a signal to the broader public: AI is the tool the professionals use.
The result, according to the report, is a new kind of AI-enabled wartime circus, one that can distort the flow of information as much as clarify it. The raw data has genuine value. Seeing ship tracking, power outage maps, and satellite imagery assembled in one place is a meaningful capability that previously required institutional access. But watching a war unfold on a dashboard while placing bets on its political outcomes turns armed conflict into something closer to spectator sport.
The implicit argument from the people building these tools is that AI can democratize intelligence — that a secret feed once available only to elites can now reach anyone. What the dashboards don’t include is the layer of human judgment that makes raw signals into actual understanding.
Photo by Anantha Krishna A on Unsplash
This article is a curated summary based on third-party sources. Source: Read the original article
