OpenAI never visited its Stargate UK site, Guardian finds


TL;DR

A Guardian investigation found OpenAI apparently never visited a key site for its Stargate UK data centre project before it was announced. The partnership was paused in April 2026, and a previous investigation found the designated supercomputer site was a scaffolding yard with no evidence of construction.

OpenAI apparently failed to visit a key site earmarked for its Stargate UK data centre project before the initiative was announced, the Guardian reported on Friday. The revelation deepens questions about whether the UK government’s flagship AI infrastructure programme was built on press releases rather than due diligence.

Stargate UK, a partnership between OpenAI, Nvidia, and British cloud provider Nscale, was unveiled in September 2025 during Donald Trump’s state visit to the UK. The project promised up to 8,000 Nvidia GPUs deployed at sites in north-east England by Q1 2026, scalable to 31,000 over time, and sat within a broader £31 billion package of tech investments that the government presented as proof of Britain’s AI competitiveness.

The scaffolding yard

The Guardian had previously investigated the project’s physical reality in March 2026, when reporter Aisha Down visited the site of Nscale’s planned supercomputer in Loughton, Essex. She found a functioning scaffolding yard with no evidence that construction had begun on a facility that Nscale had said would be operational by the end of 2026.

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Nscale announced in September 2025 that it had “confirmed” its UK investment by purchasing the Loughton site and promised 23,040 Nvidia GPUs running by early 2027. Land records at the time showed no evidence of Nscale’s ownership, with the site still registered to a different company.

The unsigned contract

The March investigation also found that the UK government had issued a press release describing a £1.9 billion investment contract with Nscale, but no such contract had been signed. The Department for Science, Innovation and Technology admitted it was “not playing an active role in auditing these commitments.”

The government’s AI Opportunities Action Plan, published in January 2025, cited £14 billion in private commitments to UK AI infrastructure. Those figures relied on company self-reporting rather than audited disclosures, a method the Guardian described as producing “phantom investments.”

The pause

OpenAI formally paused Stargate UK in April 2026, citing the high cost of industrial electricity in Britain, which is roughly four times higher than in the United States, Finland, Norway, and Sweden. It also cited unresolved regulatory questions around AI and copyright.

A spokesperson said the company would “continue to explore Stargate UK” when “regulation and the cost of energy enable long-term infrastructure investment.” No planning applications had been lodged and no construction had begun at Cobalt Park, the primary Stargate UK site near Newcastle.

Where the money went instead

While Stargate UK stalled, Nscale invested €695 million in Portugal to supply 66,000 Nvidia Rubin GPUs to a Microsoft data centre campus in Sines. The company, which reached a $14.6 billion valuation in two years, found more favourable energy prices and planning conditions on the continent.

Nscale’s smaller UK project with BT and Nvidia, providing up to 14 megawatts of sovereign AI capacity across three existing BT sites, is proceeding. But it is a fraction of what Stargate UK had promised, and its modest scale underlines the gap between the government’s AI ambitions and what the market is willing to build in Britain at current electricity prices.

The pattern

The UK government continued to announce large AI investment figures at London Tech Week in June 2026, including pledges from AMD and Nebius. Whether those commitments face the same scrutiny as Stargate UK remains to be seen.

The Stargate UK episode exposes a structural weakness in how the UK counts AI investment. The government tallies pledges at the announcement stage but does not verify them, creating a gap between press releases and data centres that can be measured in years, or as a separate report on the UK’s AI-climate conflict warned, may never close at all.



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TL;DR

Meta stripped NameTag facial recognition code from its AI app one day after WIRED exposed it on 50 million phones. Meta says no decision has been made.

Meta removed nearly all traces of an unreleased facial recognition system from its smart glasses companion app on Friday, one day after WIRED reported that the software had been quietly embedded in an app installed on more than 50 million phones. The feature, which Meta internally called NameTag, was designed to convert faces captured by the company’s Ray-Ban smart glasses into unique biometric signatures and compare them against a database stored on the user’s device. WIRED also found that faces the system failed to recognise were cropped, indexed, and stored locally for future processing.

Andy Stone, Meta’s vice president of communications, told WIRED on Monday that the feature is “purely exploratory,” adding that no final decision has been made on what to do with it. That characterisation sits uneasily with the evidence WIRED documented. The version of Meta AI published the day of WIRED’s Thursday report contained several code libraries explicitly named for face recognition, a process for running the NameTag recognition pipeline, and a “Person recognised” alert the app would have shown if someone were identified.

Friday’s release stripped all of it out, along with a folder where the app would have stored the cropped images and biometric signatures of unrecognised faces. Meta did not answer WIRED’s questions about why the code was removed or whether the changes were planned before the story was published. A few fragments remain in the latest version, including an internal debug menu label and a dormant link meant to open a recognised person’s profile, pointing to parts of the system that are no longer there.

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The gap between Meta’s public statements and the code WIRED found is the central tension. Before the Thursday report, Stone dismissed the findings by writing that the company could not answer questions about how the system would work because “the feature does not exist.” Andrew Bosworth, Meta’s chief technology officer, called the reporting “incredibly misleading” and “absolutely dishonest.” Yet the code was functional enough to include three AI models, one to detect faces, another to crop them, and a third to encode them as biometric data, all embedded in the companion app for a product already at the centre of a mounting privacy crisis.

Meta declined to answer ten questions WIRED posed before publishing, including whether it had already created the database of face profiles NameTag uses, how long the app retains photographs and biometric data of unrecognised people, and whether that data would ever be sent back to Meta’s servers. The company also did not respond to questions about whether it was building NameTag for blind or low-vision users, or to criticism from privacy advocates who warned the system could let stalkers and abusers identify strangers in public.

NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and considering a launch as early as this year. One internal memo reportedly described releasing the feature during a “dynamic political environment” when privacy and civil liberties advocates would be distracted by other concerns. WIRED subsequently found that much of NameTag’s machinery had been built into the Meta AI app as early as January, months before any public acknowledgement, adding another layer to the company’s pattern of shipping first and disclosing later when it comes to its smart glasses.

Kade Crockford, director of the technology for liberty programme at the American Civil Liberties Union of Massachusetts, said the removal does not undo the original decision to ship the code and pointed to it as evidence that consumer privacy needs stronger legal protection than Congress has been willing to provide. The Massachusetts House of Representatives last week unanimously passed a consumer privacy bill that, if enacted as written, would impose strong enforcement provisions including a private right of action allowing aggrieved users to sue. “State lawmakers need to do their job and step up to protect consumer privacy,” Crockford said.

Meta’s sneaky tactics in slipping the face-recognition code into its smart glasses show exactly why data privacy bills need the teeth of strong enforcement,” Crockford added. “Companies like Meta prioritise their bottom line, so lawmakers need to speak in the only language its C-suite understands.” Whether a code removal prompted by investigative reporting constitutes a victory or merely a tactical retreat depends on what Meta does next, and on whether the regulatory pressure building on both sides of the Atlantic produces enforceable consequences before the feature quietly returns under a different name.



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