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The Ultimate AI Wearable Is a Piece of Tech You Already Own

Commentary: Tech companies are trying to give us dedicated AI devices. There’s no need — we all have them already.

In some quarters, the rise of AI has sparked the urge to invent all-new devices, which are deeply invested in that technology but which look and function differently from any products we’ve owned before.

These range from head-mounted XR devices, such as headsets and glasses, to pins, necklaces, phone accessories and whatever mystery product former Apple designer Jony Ive and OpenAI are developing in secret.

But what if, in pursuit of these new devices, we overlook the fact that the ultimate AI form factor is something we all already own? It could even be that the best way to deploy AI is through tech that dates back to the 19th century. 

I’m talking about headphones.

There hasn’t been a lack of evolution in personal audio over the years, but integrating AI into headphones is giving them a new lease on life, says Dino Bekis, vice president of wearables at chipmaker Qualcomm. We’re starting to see this with devices like Apple’s new AirPods Pro 3.


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The impact of AI on headphones will be twofold, says Bekis. First, it will build on improvements we’ve already seen, such as the ability to easily switch among active noise cancellation, transparency and other listening modes. 

Instead of that being something we need to control manually, the headphones themselves will increasingly handle it all dynamically. Sensors on board, layered with AI, become more adept at reading and understanding our immediate surroundings.

Bekis says that maybe your headphones could alert you to someone trying to get your attention by recognizing your name being called, even if you’re listening to music with ANC enabled. If you’re on a call, walking along a busy street, they could alert you to traffic dangers, sirens or someone who might be walking close behind you.

But where he really sees AI headphones coming into their own is in the interactions you’ll have with AI agents. These personal assistant-like versions of artificial intelligence will operate autonomously with our devices and services on our behalf.

There’s no more «natural way» than conversation to interact with them, he says, and the high-quality mics and speakers in your headphones will allow for clear and effective communication.

«Earbuds or headphones are really yesterday’s technology that’s suddenly been reinvented and is becoming the primary way we’re going to be interfacing with agents moving forward,» says Bekis.

Headphone-makers, meet AI

Not all headphones are on the verge of transforming into wearable AI assistants, and the situation is not the same across the board. Many legacy headphone companies are «entrenched in their core focus of audio quality and audio file capability,» says Bekis.

At the same time, Bekis says Harman-owned high-end audio brand Mark Levinson is one headphone maker Qualcomm is working with on integrating AI into its products. And smartphone manufacturers who also have audio products in their lineup are at the forefront of the charge.

You only need to look at the new capabilities that Samsung, Google and Apple have bolstered their headphones with over the past few years. In addition to adaptive audio, the companies are starting to add AI-specific features. Google’s Pixel Buds 2 are engineered not just as an audio device but as hardware with the company’s Gemini AI assistant at the core (you could say «Hey, Google» to activate Gemini and ask it to summarize your emails, for example).

In September, Apple introduced AI-powered live translation with the AirPods Pro 3. The AirPods will parse what someone is saying to you and play it in your chosen language in your ear. They will also pick up your speech and translate it so that you can show the other person a transcript in their language on your phone screen. 

Apple also seems to be searching for ways to further tap the AI potential of its headphones range. A report from Bloomberg earlier this month suggested that the company might introduce AI-powered infrared cameras with the next version of the AirPods Pro, which could be activated by and respond to gestures.

It’s clear that smartphone-makers can see the potential in headphones to be more than just audio products, in the same way they once recognized that the phone could be more than simply a device for making calls. They might even turn headphones and earbuds into what I think could be the ultimate AI wearable.

Why headphones?

The biggest argument for headphones over other emerging AI-focused wearable tech is their popularity: Who doesn’t own at least one pair? (My feeling is that everyone should own at least three different styles, each with its own strengths.) It’s just not the same with glasses or watches.

Yes, they are common and familiar, but the likelihood is that if you don’t already wear them regularly, the addition of AI is unlikely to persuade you. Glasses, in particular, have drawbacks, including battery life. There’s also the difficulty of combining the tech with prescription lenses and privacy concerns due to the addition of cameras.

After well over a decade of effort, tech companies are also still struggling to make smart glasses as sleek and comfortable to wear as their non-smart counterparts (the Meta Ray-Bans perhaps being the one exception to the rule here). 

Smartwatches and fitness bands, meanwhile, have become more comfortable, but many people still find them cumbersome for sleeping. The sensors in them are too far away from our faces, where we receive the majority of our sensory inputs, to comprehend the world around us with forensic detail. They cannot relay sensory feedback to us without us having to look at a screen. The same is true for rings and other smart jewelry.

There are no devices that rival headphones, and earbuds in particular, for sheer proximity to a major sensory organ capable of both inputting and outputting complex sensory data. They have been and remain discreet, easy to take on and off, and not overly power hungry or demanding when it comes to charging frequency. 

«Critically, there’s the social acceptance level of this as well, where, ultimately, headphones have become incredibly commonplace,» says CCS Insight Analyst Leo Gebbie. 

They don’t insert a noticeable barrier between you and the world you’re experiencing. Plus, even when they’re obvious, they don’t tend to put people on edge over concerns you could be capturing their image, and you don’t need to learn how to use them, Gebbie says.

 «Contrast that with something like smart glasses, where I think there is a whole new set of user behaviors that would need to be learned in terms of exactly how to interact with that device,» he says. «Also, there’s kind of a social contract, which, for me, at least with smart glasses, has always been one of the biggest stumbling blocks.»

What’s more, headphones have been getting gradually smarter all this time without most of us even noticing.

This invisible evolution is the closest tangible expression I’ve seen of the widespread belief among tech leaders that AI should be a subtle, ambient force that permeates our lives as inconspicuously as possible.

Headphones are an established product that shows consistent growth, making them the safest bet for companies that want as many people as possible to engage with AI through wearable tech. 

Multiple forecasts, including from SNS Insider and Mordor Intelligence, estimate the global market for headphones will grow to over $100 billion by the early 2030s. By contrast, Mordor forecasts the smart glasses market will grow to $18.4 billion in the same period, one of the higher estimates I found.

Companies are always searching out new revenue streams, hence their determination to explore new kinds of AI devices, says Gebbie. But, he adds, «headphones definitely feel like a safer bet, because it’s a form factor that people are familiar with.»

It may well be the case that no single wearable device will define our coexistence with AI, and if there is, it will be a device of our choosing. 

But rather than reinvent the wheel, I strongly suspect the companies embracing the potential of headphones will see these formerly audio-focused devices fly in the age of AI. And perhaps it’s just personal preference, but I’m on board.

Technologies

Scientists Are Using AI to Help Identify Dinosaur Footprints

The Dinotracker app was trained on eight major characteristics of dinosaur footprints to quickly determine the species.

An international team of researchers has devised a futuristic tool to examine the footprints left by dinosaurs in our ancient past. The AI-powered app, Dinotracker, can identify dinosaur footprints in moments.

The research comes from a joint project by the Helmholtz-Zentrum research center in Berlin and the University of Edinburgh in Scotland. The Proceedings of the National Academy of Sciences published the paper on Monday. 


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Identifying a dinosaur species from a footprint isn’t always easy. The footprint is hundreds of millions of years old, often preserved in layers of rock that have shifted over the eons since the track was laid. 

Also, we still have a lot to learn about dinosaurs, and it’s not always clear which species left a footprint. Subjectivity or bias can come into play when identifying them, and scientists don’t always agree with the results.

Gregor Hartmann of Helmholtz-Zentrum, who led the project, told CNET that the research team sought to remove this propensity from the identification process by developing an algorithm that could be neutral. 

«We bring a mathematical, unbiased point of view to the table to assist human experts in interpreting the data,» Hartmann said. 

Researchers trained the algorithm on thousands of real fossil footprints, as well as millions of simulated versions that could recreate «natural distortions such as compression and shifting edges.»

How AI is being used on dinosaur tracks

The system was trained to focus on eight major characteristics of dinosaur footprints, including the width of the toes, the position of the heel, the surface area of the foot that contacted the ground and the weight distribution across the foot. 

The AI tool uses these traits to compare new footprints to existing fossils, and then determines which dinosaur was most likely responsible for the footprint. 

The team tested it against human expert classifications and found that the AI agreed with them 90% of the time.

Hartmann made it clear that the AI system is «unsupervised.» 

«We do not use any labels (like bird, theropod, ornithopod) during training. The network has no idea about it,» Hartmann said. «Only after training, we compare how the network encodes the silhouettes and compare this with the human labels.»

Hartmann said that the hope is for Dinotracker to be used by paleontologists and that the AI tool’s data pool grows as it’s used by more experts.

Bird vs. dinosaur

Using Dinotracker, the researchers have already uncovered some intriguing possibilities on the evolution of birds. When analyzing footprints more than 200 million years old, the AI found strong similarities with the foot structures of extinct and modern birds. 

The team says one possibility is that birds originated tens of millions of years earlier than we thought. But it’s also possible that early dinosaur feet just look remarkably like bird feet.

This evidence, Hartmann notes, isn’t enough to rethink the evolution of birds, since a skeleton is the «true evidence» of earlier bird existence.

«It is essential to keep in mind that over these millions of years, lots of different things can happen to these tracks, starting from the moisture level of the mud where it was created, over the substrate it was created on, up to erosion later,» he said. «All this can heavily change the shape of the fossilized track we find, and ultimately makes it too difficult to interpret footprints, which was the motivation for our study.»

Dinotracker is available for free on GitHub. It’s not in a download-and-use format, so you’ll have to know a bit about software to get it up and running. 

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Technologies

Belkin Is Ending Support for Wemo Smart Home Devices. Here’s What That Means for You

If you own certain Belkin Wemo devices, they’ll stop working as soon as Jan. 31. Here’s what to know before it happens.

Belkin is ending support for most of its Wemo smart home devices, a move that will shut down the Wemo app and cloud services and significantly reduce the functionality of many popular smart plugs, switches and sensors. 

The change takes effect at the end of January, so you have only a few days to migrate compatible devices or start planning for replacements.

You can see the full list of affected devices on Belkin’s support page. Once support ends, features that rely on the cloud — including remote access, schedules and integrations with Amazon Alexa and Google Assistant — will stop working. Those Wemo devices will no longer function as «smart» products, even if the hardware still powers on. 

Since Belkin will also stop releasing firmware updates, affected devices won’t receive bug fixes or security improvements. 

Belkin’s decision highlights a growing issue in the smart home world: Devices can stop being «smart» long before the hardware wears out. 

Apple Home users get a limited lifeline

There is one major exception. Some Wemo devices that are compatible with Apple Home and HomeKit can continue working after the Wemo app shuts down, but only if you migrate them before the end-of-support deadline.

«Since the Wemo app will be ending, it’s very important that users switch to Apple Home/HomeKit by the end of the month,» says CNET smart home editor Tyler Lacoma. «Belkin has a long-term partnership with Apple, so for compatible devices, that transition is usually pretty simple.»

However, Lacoma warns that older Wemo products may not support Apple Home at all.

«If someone has a Wemo device that’s not on the list of Apple-compatible products, it won’t have much functionality left,» he says. «It won’t get firmware updates to fix bugs or improve security, so at that point, it makes sense to factory reset it and recycle it before the end of the month, then look for a replacement.»

Belkin has published a list of Wemo devices that support Apple HomeKit, and users need to complete the setup process before the Wemo app is retired. The following products will continue to work through Apple HomeKit: 

  • Wemo Smart Light Switch 3-Way (WLS0403, WLS0503)
  • Wemo Wi-Fi Smart Light Switch with Dimmer (WDS060)
  • Wemo Smart Light Switch (WLS040)
  • Wemo HomeKit Bridge (F7C064)
  • Wemo Dimmer Light Switch (F7C059)
  • Wemo Mini Plugin Switch (F7C063)
  • Wemo Outdoor Plug (WSP090)
  • Wemo Mini Smart Plug (WSP080)
  • Wemo Stage Smart Scene Controller (WSC010)
  • Wemo Smart Plug with Thread (WSP100)
  • Wemo Smart Video Doorbell (WDC010) 

What about refunds?

Belkin says customers with Wemo devices that are still under warranty when support ends may be eligible for a partial refund. You can find the warranty period for each device in the list of devices on Belkin’s support page linked above. Refund requests won’t be processed until after the end-of-support date, and eligibility will depend on the product and purchase date.

Because many Wemo products were released years ago, most people should not expect to qualify for a refund. We’ve reached out to Belkin to ask whether other products will lose support in the near future. We haven’t heard back at the time of publishing. 

What Wemo owners should do now

If you own Wemo devices, the clock is ticking. Here’s what to do next:

  • Check whether your Wemo products support Apple Home and migrate them as soon as possible.
  • If your devices don’t support Apple Home, plan to replace them before support ends.
  • Consider recycling unsupported devices once they lose smart functionality.
  • Remove the Wemo app after services shut down to avoid confusion.

If you’re shopping for replacements, this is a good time to look at CNET’s list of the best smart plugs and review our guide on what to do when smart home devices lose support.

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Technologies

Today’s NYT Strands Hints, Answers and Help for Jan. 28 #696

Here are hints and answers for the NYT Strands puzzle for Jan. 28, No. 696.

Looking for the most recent Strands answer? Click here for our daily Strands hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections and Connections: Sports Edition puzzles.


Today’s NYT Strands puzzle is a bit of an odd one, but it might calm you down — hint, hint. If you need hints and answers, read on.

I go into depth about the rules for Strands in this story. 

If you’re looking for today’s Wordle, Connections and Mini Crossword answers, you can visit CNET’s NYT puzzle hints page.

Read more: NYT Connections Turns 1: These Are the 5 Toughest Puzzles So Far

Hint for today’s Strands puzzle

Today’s Strands theme is: Zen state

If that doesn’t help you, here’s a clue: Mellow out.

Clue words to unlock in-game hints

Your goal is to find hidden words that fit the puzzle’s theme. If you’re stuck, find any words you can. Every time you find three words of four letters or more, Strands will reveal one of the theme words. These are the words I used to get those hints but any words of four or more letters that you find will work:

  • COIL, COIF, COIFS, MATE, TAME, TAMED, CONE, CODE, NEST, NETS, LENS, TIED, DIET, MIND

Answers for today’s Strands puzzle

These are the answers that tie into the theme. The goal of the puzzle is to find them all, including the spangram, a theme word that reaches from one side of the puzzle to the other. When you have all of them (I originally thought there were always eight but learned that the number can vary), every letter on the board will be used. Here are the nonspangram answers:

  • FOCUS, RELAX, LISTEN, NOTICE, BREATHE, MEDITATE

Today’s Strands spangram

Today’s Strands spangram is MINDFULNESS. To find it, start with the M that’s the first letter on the top row, at the far left, and wind down and then over and up.

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