This tiny MacBook accessory adds customizable shortcuts for meetings and productivity


A new hardware accessory is looking to simplify one of the more frustrating aspects of using a MacBook: juggling different keyboard shortcuts across video calls, productivity apps, and development tools.

A startup Project Mirage has launched Dune, a compact USB-C accessory that adds three programmable buttons to compatible MacBooks. The device automatically changes its functions depending on the application currently in use, allowing users to perform common actions with a single press instead of memorising different keyboard shortcuts.

Dune combines context-aware controls with AI-powered customization

Unlike traditional macro keypads, Dune is designed specifically for MacBooks and is custom-built to match different laptop models, allowing it to sit flush against the side of the device. The accessory plugs directly into a USB-C port and draws power from the laptop, eliminating the need for batteries or charging.

Its three programmable buttons adapt based on the app being used. During video calls, they can be configured to mute the microphone, toggle the webcam, or bring the meeting window into focus. In spreadsheet applications, they can become copy, paste, and undo buttons, while developers can assign actions for tools such as Visual Studio Code or GitHub.

The device is currently compatible with MacBook Air models powered by the M2 chip or newer and MacBook Pro models featuring M1 Pro processors or later, running macOS Sequoia 15 or newer.

Project Mirage also ships Dune with a companion app that lets users create application-specific shortcuts or system-wide actions. Beyond simple keyboard commands, users can configure buttons to launch apps, open websites, or execute custom scripts.

One of the more distinctive features is its integration with Claude Desktop. Instead of manually writing automation scripts, users can describe the shortcut they want in natural language, allowing Claude to generate the required Python code and assign it to a button. According to TechCrunch, this makes creating custom workflows considerably more approachable, even for users without programming experience.

The companion app also integrates with calendars, surfacing upcoming meetings and allowing users to quickly join a call, dismiss reminders, or send a “running late” message with a single press.

Pricing and availability

Dune is currently available at an introductory price of US$119, after which it will retail for US$149.

As AI-assisted productivity tools continue to expand beyond software, devices like Dune suggest hardware makers are exploring new ways to make everyday computer interactions faster and more intuitive. Whether the concept catches on will likely depend on how valuable users find its growing library of customizable shortcuts and automations.



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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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