Merlin bird ID app is now eyeing a global database of our vanishing feathery friends


The Merlin Bird ID app, already one of the world’s most popular bird identification tools, is set to become an even more valuable resource for conservationists. According to a report by The Guardian, an upcoming update will allow bird identifications made through the app to flow directly into eBird, one of the largest citizen-science biodiversity databases in the world.

The move means millions of users listening to birds in their backyards, local parks, or hiking trails could soon contribute valuable scientific data that helps researchers monitor bird populations and track changes in biodiversity.

Millions of birdwatchers could soon become citizen scientists

Created by the Cornell Lab of Ornithology, Merlin has grown rapidly since launching its AI-powered Sound ID feature in 2021. The app uses machine learning to recognise birds by their songs in real time, displaying the likely species almost instantly. It can currently identify 2,066 bird species across North America, Europe, and many parts of Asia and Latin America, with more species being added regularly.

According to The Guardian, Cornell is now strengthening Merlin’s integration with eBird, its global bird observation platform that has collected more than 2 billion bird records since launching in 2002. Future versions of the app will allow recordings captured in Merlin to be uploaded more seamlessly into eBird, giving researchers access to a much larger stream of real-world observations.

Jessie Barry, one of the leaders of the Merlin project, told The Guardian that the additional data will help scientists monitor bird populations, support conservation efforts, and improve ecological management strategies.

The update comes at a critical time

The British Trust for Ornithology estimates that the UK’s bird population has fallen by more than 70 million birds over the past 50 years. At the same time, Merlin’s popularity continues to grow. The app has now been downloaded more than 40 million times across 240 countries, with nearly 2 million users in the UK using it during May alone.

The app has also lowered the barrier to birdwatching. According to Digital Trends, Merlin is widely considered one of the best bird identification apps available because it combines AI-powered sound recognition, photo identification, location-based suggestions, and downloadable offline bird packs. That makes it useful for beginners as well as experienced birders exploring areas without reliable internet access.

While conservationists have welcomed the app’s growing popularity, experts also urge caution. The European Bird Census Council recommends against relying solely on Merlin during official breeding bird surveys because AI-based identification can occasionally make mistakes. The Guardian notes that even RSPB conservation scientist Richard Gregory once saw the app incorrectly identify his dachshund as a mallard, illustrating that the technology is still far from perfect.

Even so, researchers believe the benefits outweigh the limitations. Citizen-science observations are routinely reviewed and validated before being incorporated into research, and larger datasets help improve both scientific understanding and AI accuracy over time.

As artificial intelligence becomes increasingly capable of recognising the natural world, Merlin is evolving from a personal birdwatching companion into a global conservation tool. For users, identifying a bird may soon do more than satisfy curiosity. It could help scientists better understand how wildlife is changing and where conservation efforts are needed most.



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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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