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Legendary composer Laurie Spiegel on the difference between algorithmic music and ‘AI’

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Legendary composer Laurie Spiegel on the difference between algorithmic music and ‘AI’

In 1986, electronic music pioneer Laurie Spiegel created Music Mouse, a way for those with a Mac, Atari, or Amiga computer to dabble in algorithmic music creation. Music Mouse is deceptively simple: Notes are arranged on an XY grid, and you play it by moving a mouse around. Back in 1986, the computer mouse was still a relatively novel device. While it can trace its origins back to the late ’60s, it wasn’t until the Macintosh 128K in 1984 that it started seeing widespread adoption.

By then Spiegel, was already an accomplished composer. Her 1980 album The Expanding Universe is generally considered among the greatest ambient records of all time. And her composition “Harmony of the Worlds” is currently tearing through interstellar space as part of the Voyager Golden Record, launched in 1977. But she is also a technical wizard who joined Bell Labs in 1973 and was instrumental in early digital synthesis experiments and worked on an early computer graphics system called Vampire.

Spiegel was deeply drawn to algorithmic music composition and this new tool, the home computer. So, she created what she calls an “intelligent instrument” that enables the creation of complex melodies and harmonies with minimal music-theory knowledge. Music Mouse restricts you to particular scales, and then you explore them simply by pushing a mouse around.

Spiegel gives the user some control, of course. You can choose if notes move in parallel or contrary to each other, there are options to play notes back as chords or arpeggios, and there is even a simple pattern generator.

Despite being available for purchase until 2021, Spiegel never updated it to work on anything more current than Mac OS 9. Now, 40 years after its debut, it’s getting reborn for modern machines with help from Eventide.

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Music Mouse is finally running on modern hardware.
Image: Eventide

While it would have been easy for Eventide and Spiegel to overload the 2026 version of Music Mouse with countless modern amenities and new features, they kept things restrained for version 1.0. The core feature set is the same, though the sound engine is more robust and includes patches based on Spiegel’s own Yamaha DX7. There are also some enhanced MIDI features, including the ability to feed data from Music Mouse into your DAW or an external synthesizer.

Laurie Spiegel answered some questions for us about the history of Music Mouse, algorithmic composition, AI, and why she thinks the computer is a “folk instrument.”

What were the origins of Music Mouse? Was there something specific that inspired its creation?

When the first Macs came out, the use of a mouse as an input device, as an XY controller, was altogether new. Previous computers had just alphanumeric keyboard input or maybe custom controllers. The most obvious thing I immediately wanted to do was to be able to push sound around with that mouse. So, as soon as the first C compilers came out, I coded up a way to do that. Pretty soon, though, I wanted the sound quantized into scales, then to add more voices to fill out the harmony. Then I wanted to have controls for timbre, tempo, and everything else I eventually added.

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How did you connect with Eventide for this new version?

I first met Tony and Richard of Eventide all the way back in the early 1970s. They are longtime good friends. I’d been involved in various music tech projects at Eventide over the years. Tony knew that I really missed Music Mouse and that I still get a fair number of requests for the 1980s versions from people who keep vintage computers from that era just to be able to run Music Mouse or other obsolete software. He decided it was a musical instrument worth reviving. I had been wanting to revive it, but hadn’t been able to find the time to even just keep up with the way development tech keeps changing. My main thing is really composing music, and I have an active enough career doing that to not have enough time to do coding as well. I am extremely grateful to Eventide for resuscitating Music Mouse. I hope a lot of people will get a lot of music out of this new version.

Did you feel compelled to make any big changes to it after 40 years?

We decided to keep 1.0 of this new version of Music Mouse functionally the same as the 1980s original. The exceptions are adding a higher-quality internal synthesizer and providing ways to sync it with other software, to record or notate its MIDI output. We have a growing list of features to add in 2.0.

“It’s pretty easy by now to use computers to generate music-like material that is not actually the expression of an individual human being.”

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Are there any current innovations in music tech that excite you?

That’s a hard question, because I am not all that excited about music tech right now. It’s music itself that holds my interest — composition, form, structure. I love counterpoint and the various contrapuntal forms. I studied them extensively when I was younger. Of course, harmonic progression is something I’m also very interested in, and in algorithmic assistance for composing it.

That various kinds of structures within music can now be more easily dealt with in computer software by now has both pros and cons. The pros include how much more deeply we have to understand how music works, how it is structured, and how it affects us, in order to represent it as a process description in software. That means learning, research, and self-discovery. The cons include that it’s pretty easy by now to use computers to generate music-like material that is not actually the expression of an individual human being. Music is a fundamental human experience. There is no human society that doesn’t have it. But it is something that comes from within human beings, as personal expression, as communication, as a sort of form of documentation of what we are feeling, and as a means of sharing it.

You’ve been credited as saying that the computer is a new kind of folk instrument. Can you explain what you mean by that? How does something like Music Mouse fit into that model?

Now that everyone with a computer or even just a phone has the ability to record and edit and play back and digitally process and transform sound, and particularly ever since sampling became a common musical technique, people have been doing remixes, collages, sonic montages… doing all kinds of stuff to audio they get from others or find online. This is very like what we used to call “the folk process,” in which music is repurposed, re-orchestrated, given new lyrics or otherwise modified as it goes from person to person and is adapted to fit what is meaningful in successive groups of people.

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Music Mouse will help people create musical materials that can be used in a potentially infinite number of ways. It is a personal, often home-based instrument played by an individual, like a guitar.

Laurie Spiegel in 1990 in front of her Mac and a large collection of synths and other audio gear.

Laurie Spiegel in 1990 working at her Macintosh.
Image: Marilyn McLaren

You refer to Music Mouse as an “intelligent instrument”; it automates a certain amount of creation. What is the appeal of letting a computer take the wheel to a degree, as an artist?

Music Mouse is not a generative algorithm or an “AI.” It’s a musical instrument that a person can play. It is, to some degree, what we used to call an “expert system,” as it has some musical expertise built in. But that is meant to be supportive for the real live human being who is playing it, not to replace them. It makes the playing of notes easier in order to let the player’s focus be on the level of phrasing or form. I have coded up generative algorithms for music. Music Mouse is not one of them. It’s an instrument that an individual can play, and it’s under their control. It enables a different perspective that’s from above the level of the individual note.

Do you see a connection between modern generative AI and algorithmic composition tools?

Of course. Algorithms can be used to generate music. I have written and used some. Music Mouse is not generative, though. It does nothing on its own. It’s a musical instrument played by a person.

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What is currently called “AI” is different from previous generations of artificial intelligence. I expect there will doubtless be further evolution. In the early years of my use of computer logic in composing, AI was more of a rule-based practice. We would try to figure out how the mind was making a specific kind of decision, code up a simulation to test our hypothesis, and then refine our understanding in light of the result. After that, there was a period of AI taking more of a brute-force approach. Computer chess, for example, would involve generating all possible moves possible in a given situation, then eliminating those that would be less beneficial. Then neural nets were brought in for a next generation of AI. I look forward to getting beyond the imitative homogenizing LLM approach and seeing whatever comes next.

There are many ways of designing an algorithm that either generates music or else helps a human being to do that, making some of the decisions during the person’s creative process to leave them free to focus on other aspects. By taking over some of the decision-making, they can free a creative mind to focus on different perspectives. People just starting to learn music too often bog down and give up at the level of simply playing the notes, just figuring out where to put their fingers. We can make musical instruments now that let people use a bit of automation on those low levels to let them express themselves on a larger level, for example, to make gestures in texture-space rather than thinking ahead just one note at a time.

“Music Mouse is not a generative algorithm or an ‘AI.’ It’s a musical instrument that a person can play.”

What do you think separates algorithmically generated music from something created by generative AI?

Artificial intelligence refers to a specific subset of ways to use algorithms. An algorithm is just a description of a process, a sequence of steps to be taken. A generative algorithm can make decisions involved in the production of information, and, of course, music is a kind of information. You can think of AI as trying to simulate human intelligence. It might have a purpose, such as taking over some of our cognitive workload. In contrast, the purpose of generative algorithms is to create stuff. In music, that purpose is to create an experience.

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Music Mouse is not a generative algorithmic program. It’s more of a small expert system in that it has built into it information and methods that can help its player get beyond the level of just finding notes, to the level of finding personal expression.

Suno’s CEO Mikey Shulman has said that, “Increasingly taste is the only thing that matters in art and skill is going to matter a lot less.” In an age where music can be easily created using algorithms, plug-ins, and text prompts on cheap laptops and smartphones, do you see the role of composer being one primarily of curation?

I can see where he’s coming from, but, no, I don’t think so. The range and kinds of skills used in the creative arts will continue to evolve and expand. But the history of creative techniques shows them to be largely cumulative versus sequential. The keyboard synthesizer has not replaced the piano, which has not replaced the harpsichord or the organ. We have them all, that whole lineage, all still in use. Each musical instrument or artistic technique implies its own unique artistic realm. Each is defined by its specific limitations, which guide us as we use them. It is true that skills and traditional techniques will be an option rather than a prerequisite to creating music and art, but people will still do them. Just as LPs and chemical film have made comebacks recently, I expect to see traditional musical skills do the same. We have had computers and synthesizers for decades, yet there are still little children captivated by instruments made out of wood or painting or drawing, and I have yet to use any music editing software that gives me the fluidity and freedom of a pencil on staff paper. There will just be more kinds of complementary ways of making music.

More importantly, we humans have imaginations and emotions. There are internal experiences going on inside of us that we feel driven to express, to communicate, to share. It doesn’t matter what machines can generate on their own. We will always have those internal subjective experiences, emotion, and imagination, and people will experience them intensely enough to feel driven to create them external to their own selves in order to communicate and share them. You can’t replace human self-expression or the need for it by simulating their results. Artistic creation comes from a fundamental human drive, the need for self-expression. Artistic creativity is an essential method of processing the intensity of being alive.

Laurie Spiegel in the studio in 1985.

Laurie Spiegel in the studio in 1985.
Image: Enrico Ferorelli

You told New Music USA in 2014 that, in regard to electronic music, “There is no single creator… the concept of a finite fixed-form piece with an identifiable creator that is property and a medium of exchange or the embodiment of economic value really disappears.” Does this idea shape your views on ownership of art?

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Those assumptions, which we inherited from the European classical model of music, are already much less prominent in our musical landscape. Improvisation, “process pieces,” the ease with which we can do transformations of audio files are all over the place. Folk music, and a lot of what we heard online here and there, might be audio that no longer has any known originator. We don’t know, and people don’t really care, who first created a swatch of sound. We are experiencing whatever has been done with it — different orchestrations, durations, signal processing. The huge proliferation of plug-ins and guitar effects pedals let anyone transform a sound beyond recognition. This is composition on a different level than on the level of the individual note, similarly to Music Mouse.

Another very important aspect of “folk music” is that it is typically played at home, with or for friends or family, or alone. This is very different from formal concert settings and programming we in the US inherited from Europe. For me, the most important musical experience is just about always at home, where we live. To quote what Pete Seeger said in his write-up of Music Mouse in Sing Out, that “she [meaning me] foresees a day when computer pieces will be like folksongs, anonymous common property to be altered by each new user. She would like to get music out of the concert hall and back into the living room.”

Music Mouse is available for macOS and Windows 11 for $29.

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Technology

Robot firefighters enter burning buildings first

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Robot firefighters enter burning buildings first

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When firefighters arrive at a major blaze, they often face the same problem. They have to walk into danger without knowing exactly what is inside.

Smoke hides everything. Floors may be unstable. Toxic gases can build up quickly. Even experienced crews sometimes enter buildings with limited information about what they are about to face.

Now, a new type of robotic vehicle could help change that. Instead of firefighters stepping into the unknown, a rugged robot can roll inside first. It can scan the scene, locate the fire and send back critical information in real time. That insight helps crews make smarter decisions before anyone risks their life inside. For firefighters, that extra visibility could make a big difference.

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A firefighting robot built by Hyundai Motor Group can enter burning buildings before crews, using thermal cameras and real-time video to locate flames and hazards. (Hyundai Motor Group)

The robot is built to drive straight into the fire

This robotic firefighter is designed for environments where heat, smoke and collapsing structures make it dangerous for people. The vehicle carries a powerful water cannon that can fire a focused stream or a wide spray depending on the situation. Cameras that detect infrared heat allow it to see through thick smoke.

One of its most important features is a self-cooling system. The robot sprays a protective curtain of water around its body to prevent overheating. That system allows it to keep operating even when surrounding temperatures climb to nearly 1,500 degrees Fahrenheit. In conditions like that, most humans could not safely enter.

How the firefighting robot moves through dangerous spaces

Fire scenes are chaotic. Debris blocks hallways. Floors collapse. Visibility disappears. To handle those challenges, the robot uses six independently powered wheels. Each wheel has its own motor, which allows the vehicle to rotate in place and move through tight spaces.

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It can climb steep ramps like those found in parking garages or warehouses. It can also roll over obstacles about a foot tall. An advanced driving system scans the terrain around the robot and helps guide it around hazards. At the same time, cameras send live video back to firefighters outside the building. Crews can see where flames are spreading and where survivors may be trapped. That information helps firefighters form a plan before they move in.

A glowing hose that helps firefighters navigate smoke

Another feature focuses on a very practical problem firefighters face during rescues. The robot carries a hose that glows in dark, smoky environments.

Firefighters often rely on hoses to find their way out of buildings when visibility drops close to zero. The glowing hose creates a visible path that helps rescuers navigate thick smoke and find their way back to safety. It may sound simple. In the middle of a fire, it could be life-saving.

CHINA’S COMPACT HUMANOID ROBOT SHOWS OFF BALANCE AND FLIPS
 

Hyundai unveiled an unmanned firefighting robot. (Hyundai Motor Group)

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Why are firefighting robots starting to show up in disaster zones

Firefighting robots are part of a growing trend in emergency response. Across the world, machines are stepping into tasks that place humans at extreme risk. Autonomous mining trucks now work in remote mines. Robots clear landmines in former war zones. Some robotic dogs even carry water cannons to assist firefighters.

The idea is straightforward. Let machines handle the most dangerous early moments while human responders focus on rescue and strategy. Over time, these systems may become even smarter. Engineers are exploring ways artificial intelligence could analyze fire size, smoke patterns and heat levels to help guide firefighting decisions.

Where this firefighting robot is already being used

The robotic firefighter was developed by Hyundai Motor Group, working with South Korea’s National Fire Agency. The company recently donated several of the vehicles to fire stations in the country so crews can begin using them in real emergencies. Two robots have already been delivered, with additional units expected soon.

The technology has already seen its first real-world test during a factory fire in North Chungcheong Province. There is also a serious reason for the push toward safer tools. According to the Korea National Fire Agency, 1,788 firefighters have been injured or killed at fire scenes over the past decade. Robots that can enter dangerous environments first could help reduce that number. 

What this means to you

Most people will never see one of these machines rolling down their street. At least not yet. But firefighting technology often spreads quickly once departments see real benefits. U.S. fire agencies already use drones, thermal cameras and robotics in certain rescue situations. A robot that can scout a burning building before firefighters enter could eventually become another tool in that toolbox. For firefighters, it means better information and fewer blind entries into dangerous structures. For the rest of us, it could mean faster rescues and safer emergency response.

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THE NEW ROBOT THAT COULD MAKE CHORES A THING OF THE PAST

Six independently powered wheels allow the firefighting robot to climb ramps, navigate debris and move through tight spaces inside damaged structures. (Hyundai Motor Group)

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Kurt’s key takeaways

Every firefighter knows the first moments inside a burning building are the most unpredictable. Smoke hides the layout. Heat builds rapidly. Structural damage can happen without warning. A robot that rolls in first could change that dynamic. It gives crews eyes inside the building before they commit to entry. Technology like this will never replace firefighters. However, it can give them something incredibly valuable. Better information when every second counts.

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Ikea tried to build a smart home for everyone — here’s why it’s not working yet

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Ikea tried to build a smart home for everyone — here’s why it’s not working yet

Ikea’s new Matter-over-Thread products were supposed to prove that the smart home could be cheap, accessible, and reliable. The highly anticipated line — which includes sensors, remotes, smart plugs, air-quality monitors, and smart bulbs — has most everything you need to build a smart home, with prices starting at $6. It’s an exciting idea, but it’s still not ready for primetime.

When I first got the Ikea devices in January, I had a lot of problems connecting them to my main platform, Apple Home. And it turned out I was not alone. Reddit forums and user reviews were full of reports of onboarding and connectivity issues. Many people were struggling to get devices connected to every smart home platform — from Apple Home to Google Home, and even Ikea’s own Dirigera hub. YouTuber Shane Whatley documented his experience trying to onboard to Apple Home in real time, and it’s fairly painful to watch.

While I waited for Ikea to figure out what was up, I tried some more creative troubleshooting in my home. The only (admittedly odd) fix I found was to force Apple Home not to use my main Home Hub, an Ethernet-connected Apple TV. Instead, I told it to use a HomePod, and was able to onboard an Ikea Bilresa button and a Grillplats smart plug that had repeatedly failed to connect. (Hat tip to Whatley for this idea.)

Why Apple would prefer I not use my high-powered, hardwired Home Hub is anyone’s guess. In any case, it didn’t last long. When I tried to add a Myggspray motion sensor as well, it failed. I then tried connecting the same Myggspray to Google Home using an Android phone, and it joined on the first try. Admittedly, I have a complicated network, but this points towards Apple causing issues, not my setup.

While Ikea said that “the products work seamlessly” for most customers, it did acknowledge the problems “some users” were experiencing. It published a troubleshooting page, and online forums quickly filled with advice on getting the gadgets connected. These range from simple “restart your phone” to the inexplicable “just leave it alone for a few days, and then it will work” to the more complicated “dive into your internet router’s network settings and enable IPv6” (Thread and Matter run over IPv6).

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I had the most trouble connecting this Bilresa two-button remote to my smart home — and I was not alone.
Photo by Jennifer Pattison Tuohy / The Verge

One intrepid smart home reviewer, A Smarter House, painstakingly combed through all the proposed fixes and tried as many as he could on as many platforms as possible. This excellent deep dive by the YouTuber and blogger goes through the issues and what he tried that worked. His conclusion: There is not a single problem, but multiple, and the problems differ depending on the platform you are using.

Over the last few weeks, Ikea has rolled out several updates to its Dirigera hub to improve Matter-over-Thread stability and updated the troubleshooting page with more potential fixes. Ikea initially pointed to “users’ varying and sometimes complicated home networking setups,” something that’s difficult to replicate in a lab. And sure, individual network setups are often problematic. But the widespread nature of the issues points to something bigger: a problem with the core promise of Matter.

Problems at the heart of the Matter

With Matter came the promise of compatibility with every ecosystem, from Apple Home and Amazon Alexa to Home Assistant and Google Home. The industry was watching Ikea’s rollout closely; it was the first time Matter devices had been tested at the scale the standard was designed for — inexpensive devices for lots of people that would just work.

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“While Thread provides a robust and secure foundation at the network layer, optimizing the end-to-end experience requires ongoing collaboration across all these interconnected components.”

— Ann Olivo, Thread Group

But what has become clear since Matter’s enthusiastic launch is that Apple, Google, and Amazon are now fully focused on pursuing their own agendas. The cooperative spirit that defined the standard’s early development has stalled, and it’s every platform for itself in the race for users.

Matter is an interoperability standard, but interoperability with Matter devices is still largely elusive. Rather than being a plug-and-play solution for manufacturers — make a Matter device, and it will just work with any platform — there remains a huge onus on each manufacturer to ensure its devices work properly with each platform before release. Which is basically the same problem they had before Matter launched.

Only now manufacturers have a playbook to follow that supposedly makes their devices work with everyone — easy, right? Apparently not. My theory is that it’s how the platforms interact with the devices that is causing many of these problems — something manufacturers have no control over.

Basic Thread network topology and devices.

Basic Thread network topology and devices.
Image: Thread Group

Thread is a low-power, IP-based wireless protocol for smart home devices. It operates locally as a self-healing mesh network and promises low latency. It uses Thread Border Routers to connect to other networks and the internet.

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Matter-over-Thread devices use Matter as the application layer, a shared language that enables compatibility across different smart home platforms.

This was implicitly confirmed by Thread Group, the organization that runs the Thread protocol, when I asked for comment on the issues users were seeing with Ikea’s Matter devices. “A seamless onboarding experience relies on orchestrating multiple components and layers within the smart home ecosystem, including the mobile app, application protocol, network protocol, platform software, and hardware design,” Ann Olivo, VP of marketing for Thread Group, told me via email. “While Thread provides a robust and secure foundation at the network layer, optimizing the end-to-end experience requires ongoing collaboration across all these interconnected components.”

That’s not to say Thread is blameless here. The protocol is frustratingly obtuse, and there are still too few troubleshooting solutions. Thread Border Routers remain a major pain point. Having too many, not enough, or the wrong ones can cause onboarding and connectivity issues. That last one is down to the problem of multiple TBRs from different companies still not working together. In practice, this means many homes now have several Thread Border Routers — Apple TVs, Eero routers, Echos, Google TV Streamers — that don’t always cooperate.

Additionally, Ikea may have shot itself in the foot by releasing its line of smart bulbs weeks after the remotes and sensors (they’re still not widely available). The latter are battery-powered, the former mains-powered. Thread is a low-power mesh network that relies on mains-powered repeaters to route signals. If you bought battery-powered buttons and sensors but have no mains-powered devices, that could be why you’ve seen devices drop off the network.

What is Ikea doing about it?

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These screenshots show how to access the Thread troubleshooting tools in Ikea’s Home Smart app.

These screenshots show how to access the Thread troubleshooting tools in Ikea’s Home Smart app.
Image: Ikea

In 2024, the Connectivity Standards Alliance (the organization behind Matter) had to set up an interoperability lab to help manufacturers test their devices across all platforms. Whether Ikea took advantage of this or just took the promise of platform interoperability at face value isn’t clear. But either way, it now has a big mess to clean up.

The company is scrambling to improve reliability through software updates to its Dirigera hub, focused on improving Thread network performance and Matter onboarding stability. These include optimizing network communication and implementing “better cleanup of network settings after configuration changes, and fixes for connectivity disruptions that could cause device onboarding to fail,” according to David Granath, range manager at Ikea, who is leading the development of its smart home products. “In addition, we had an issue where outdated IPv6 network addresses could linger after configuration changes, such as turning IPv6 off on the WiFi router.”

You don’t need Ikea’s hub or app to onboard Matter devices — you should be able to just use your platform’s app. But the new Thread reset function in Ikea’s Home Smart app, which the company says “helps to rebuild the local Thread mesh if devices or border routers have fallen out of sync,” did help with some of my issues. Additionally, a Thread network check tool (iOS only) that shows your Thread network and which border routers are part of it is also useful. (There are a few other apps that offer this, too.)

Ikea’s stumble reveals a fundamental problem with Matter’s promise that you can build a device once and trust the platforms to handle the rest

Over the last week, I worked with Ikea and these new tools to troubleshoot my setup, and tried resetting and re-adding several devices, along with a new Bilresa button Ikea sent.

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I got the new button connected to Apple Home on the first try, and yes — I cheered. I was also finally able to add the Timmerflotte temperature sensor to the Dirigera hub, and I had my first successful attempt at using Ikea devices with multi-admin (which lets you share devices across platforms), adding the Grillplats smart plug from Apple Home into Google Home.

However, an existing Kajplats lightbulb and Myggspray motion sensor still wouldn’t connect to Apple Home — giving me the now familiar “Unable to Add Accessory: Operation timed out” alert after about three minutes of trying to connect. But I was able to set up both of those in Google Home.

Ikea’s efforts may have improved things, but connecting devices still remains hit or miss. Even if it resolves the problems — and it looks like it’s moving in the right direction — Ikea’s stumble reveals a fundamental problem with Matter’s promise that you can build a device once and trust the platforms to handle the rest.

Until the major players prioritize interoperability, every manufacturer risks ending up where Ikea is now, scrambling for solutions in a sea of problems. Users who don’t turn to places like Reddit and YouTube for help will simply return their gadgets and move on. And the smart home will remain stuck in the early-adopter phase that Matter was supposed to leave behind.

While it’s clear there are ways to onboard these devices and keep them connected, the current experience is poor — not because any one company is failing, but because all of them are. And that’s not good news for Matter. Ultimately, what or who is at fault isn’t really the point; the point is that Matter promised it would just work, and it just doesn’t.

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Do you know the true cost of identity theft?

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Do you know the true cost of identity theft?

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Identity theft tied to major data broker breaches has cost Americans more than $20 billion over the past decade, according to a 2026 report from the U.S. Senate Joint Economic Committee.

That figure comes from just four breaches: Equifax (2017), Exactis (2018), National Public Data (2023) and TransUnion (2025). The estimate applies federal identity-theft loss data, including a typical loss of about $200 per victim, across hundreds of millions of exposed records.

The result is a multibillion-dollar total. It’s also a narrow one. The calculation shows reported financial losses. It doesn’t account for damaged credit files, delayed loan approvals, higher borrowing costs or the hours consumers spend restoring their financial records after misuse.

So where does that leave you?

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HOW DEBIT CARD FRAUD CAN HAPPEN WITHOUT USING THE CARD

Massive data breaches at Equifax, Exactis, National Public Data and TransUnion exposed personal information that criminals later used for identity theft and financial fraud. (Nastasic/Getty Images)

What this median leaves out

The $200 figure used in the federal estimate is a median. It marks the midpoint of reported identity theft losses collected by the FTC. Many cases fall above it. FTC Consumer Sentinel data shows that losses swing widely depending on how the fraud happens. When money is moved through bank transfers or payment apps, reported median losses are markedly higher than in cases involving unauthorized credit card charges.

Loan or lease fraud can leave you with balances that need formal disputes before lenders correct the record. Reversing a charge doesn’t automatically restore a credit file. Accounts opened in your name can generate hard inquiries.

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Missed payments linked to fraudulent loans can appear before the account is identified as fraudulent. And lenders reviewing a mortgage or auto application evaluate the report as it exists at that time. A $200 median captures a reported dollar amount. It falls short of showing how identity misuse can stifle borrowing terms or access to credit later. 

The time cost of identity theft

After identity theft, the first step the FTC directs you to take is to file a report at IdentityTheft.gov. That generates a recovery plan and an identity theft report, which can be used to dispute fraudulent accounts. This is your starting point, and not anywhere close to a resolution.

Victims are instructed to contact each affected creditor directly, close or freeze compromised accounts and request written confirmation that the account was fraudulent. If a new line of credit was opened, that often requires submitting more documentation, completing affidavits and following up until the lender updates its reporting to the credit bureaus.

The FTC also advises placing a fraud alert with one of the three nationwide credit bureaus, which must notify the others. A credit freeze must be placed separately with each bureau. If you later apply for credit, they must temporarily lift the freeze before lenders can access your credit report. The Identity Theft Resource Center (ITRC) reports that victims frequently spend weeks resolving cases involving new account fraud. Complex cases can stretch even longer, especially when collection agencies become involved or when fraudulent tax returns trigger IRS identity verification.

1 BILLION IDENTITY RECORDS EXPOSED IN ID VERIFICATION DATA LEAK
 

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An identity theft victim in Albany, New York, looks over documents he’s gathered. Victims of identity theft frequently spend weeks disputing fraudulent accounts, contacting lenders and restoring their credit reports after stolen data is misused. (John Carl D’Annibale/Albany Times Union via Getty Images)

During that period, you may be gathering records, mailing certified letters, waiting on hold with creditors or tracking dispute deadlines. The process moves at the pace of institutional review. All this time required to repair records is part of the cost of your stolen identity.

Earlier this year, a 57-year-old woman in Los Alamitos, California, discovered her identity had been stolen after receiving a voicemail from a Hertz rental location in Miami asking when she planned to return a Mercedes-Benz. She had never rented the vehicle, reported $78,500 in losses and spent nearly 10 days trying to recover from a single stolen ID.

Here’s where identity theft becomes more expensive

In its March 2025 Consumer Sentinel Network release, the FTC said consumers lost more than $12.5 billion to fraud in 2024, a 25% increase from 2023. Identity theft made up a large share of those reports. When misuse goes undetected, it spreads.

A stolen Social Security number can be used to open multiple accounts over time. Hard inquiries appear across different credit bureaus. New lenders and collection agencies show up, and each additional account adds another dispute you need to resolve. Identity theft often doesn’t stop after the first incident.

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The ITRC says 31.5% of general consumer victims were targeted twice in a year, and 24.6% were hit three times last year. Even though fewer people reported a first-time identity theft, repeat targeting is becoming more common. Once your information is exposed, it can be used again. Losses can grow fast, too.

The same ITRC report found that more than 20% of victims reported losses exceeding $100,000. As the fraud spreads, so does the cleanup. What starts as a single unauthorized account can turn into disputes with lenders, credit bureaus and collection agencies. That buildup over time is where identity theft becomes more expensive.

How identity theft protection and credit monitoring can help

If you rely on occasional credit checks or alerts from a single bank, you’re only seeing activity tied to one account. If fraud appears elsewhere, it may not surface until a lender flags it.

Identity protection services can track activity across all three major credit bureaus and alert you to new inquiries or accounts as they appear. Some also scan breach datasets for exposed personal identifiers, including Social Security numbers and email addresses. Earlier alerts mean fewer fraudulent accounts can accumulate before you step in.

5 MYTHS ABOUT IDENTITY THEFT THAT PUT YOUR DATA AT RISK
 

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Identity theft tied to major data broker breaches has cost Americans more than $20 billion over the past decade, according to a Senate report. (Sara Diggins/The Austin American-Statesman via Getty Images)

Many services provide three-bureau credit monitoring and real-time alerts when there are changes to your credit report. Some also scan known data breach records for exposed personal information and connect members with fraud resolution specialists who help with documentation and disputes. Certain plans include identity theft insurance that can help cover eligible recovery costs, subject to policy limits.

Monitoring does not prevent every identity theft attempt. It can reduce how far fraud spreads and how long it takes to contain it.

See my tips and best picks on Best Identity Theft Protection at Cyberguy.com.

Kurt’s key takeaways

The numbers tied to major data broker breaches show just how expensive stolen information can become. A single exposed record may seem harmless at first, but once that information spreads through the data broker ecosystem, it can resurface again and again. For many victims, the real damage is not just the money lost. It is the time spent disputing accounts, repairing credit files and trying to stop fraud from spreading further. Identity theft rarely happens in one clean event. It often unfolds slowly as criminals reuse the same stolen details across multiple lenders, services and databases. The good news is that you are not powerless. Monitoring your credit, limiting how widely your personal information appears online and responding quickly to alerts can reduce the damage if your information is misused. The earlier you catch suspicious activity, the easier it is to stop it before it spreads.

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Have you ever checked your credit report or searched your name online and found information about yourself that surprised you? Let us know by writing to us at Cyberguy.com.

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