Taiwan’s drone defence debate heats up as opposition pushes rival plan


The opposition KMT is proposing NT$240bn for unmanned systems just days after stalling the government’s plan, in a fight with real implications for the island’s defence.

Few militaries have watched the war in Ukraine more closely than Taiwan’s, and the lesson it has drawn is that cheap, mass-produced drones can blunt a far larger force. Turning that lesson into a budget has proved harder.

Taiwan’s main opposition party has now outlined its own plan to build up the island’s drone industry, just days after stalling a similar proposal from President Lai Ching-te’s government, leaving the policy that matters caught in the gap between two rival bills.

The Kuomintang says it will submit legislation that could allocate NT$240 billion, around $7.5 billion, over six years for the procurement and industrial development of unmanned systems.

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As a headline figure it is substantial, and it lets the opposition argue it is not blocking drone spending so much as proposing its own version.

The framing matters because the KMT controls the legislature, which gives it the power to shape, slow, or sink whatever the executive proposes.

The sequence is what makes the debate pointed. The KMT and the smaller Taiwan People’s Party recently combined to vote down a draft special act, proposed by a legislator from Lai’s Democratic Progressive Party, that would have allotted NT$550 billion, roughly $17.47 billion, for the domestic drone industry over five years.

That is more than double the figure the opposition is now offering, which is the heart of the dispute: not whether to fund drones, but how much, and on whose terms.

The government has tried to answer with a counter-proposal. Taiwan’s Cabinet proposed a special budget bill totalling NT$210 billion, about $6.6 billion, over six years for the procurement of domestically produced drones, intended to restore funding that opposition parties had stripped from an earlier defence spending bill.

The result is three overlapping numbers, NT$550 billion, NT$240 billion, and NT$210 billion, each attached to a different political actor and a different theory of how fast Taiwan needs to move.

Underneath the arithmetic is a genuine strategic question. Taiwan’s domestic drone sector remains small relative to its ambitions, and it has been deliberately built to exclude Chinese components, which raises costs and slows production but is non-negotiable for a military that has to assume its supply chain is a target.

The competing budgets are, in effect, competing bets on how quickly that industry can be scaled, and how much the island can afford to spend closing the gap before the gap matters.

The fight also reflects the reality of a divided government, where the opposition holds the legislature and the presidency belongs to the DPP.

Defence has become one of the sharpest fault lines between them, with the opposition pressing for tighter scrutiny of spending and the government warning that delay carries a cost measured in deterrence.

Drones, cheap individually and decisive in aggregate, have become the specific terrain on which that broader argument is being fought.

Unmanned systems sit at the centre of how modern militaries are being rebuilt, a shift visible far beyond Taiwan.

The US has pushed AI-controlled jets into live trials and rolled out generative-AI tools across the Pentagon at remarkable speed, a reminder that the autonomy race Taiwan is debating in budget terms is already well advanced among the powers it is trying to deter.

For now the island has competing plans and no agreed one. The KMT will submit its bill, the Cabinet has tabled its own, and the rejected DPP proposal hangs over both as the maximalist version neither rival is willing to fund.

What gets passed, and how soon, will determine how fast Taiwan can build the unmanned capability it has spent years deciding it needs.



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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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