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Galaxy AI vs Google AI: Who’s doing it better?

Galaxy AI vs Google AI: Who’s doing it better?

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I tried Samsung’s new Audio Eraser and I’m a little disappointed

I tried Samsung’s new Audio Eraser and I’m a little disappointed

I love Google’s Magic Eraser. I’ve been using it since its earliest days when it was happy to erase a person or an object, but it didn’t really know how to fill the space. Now, though, Magic Eraser has evolved to a point where it handles photos easily and is trying to clean up the audio in some of your favorite clips as part of the larger Magic Editor umbrella. And, in the tech world, that’s a surefire way to have a feature copied by your closest rivals. So, when Samsung launched its take on Audio Magic Eraser, called Audio Eraser, I had to give it a try. Here’s how it went.

Is Audio Eraser just a copy of Google’s feature?

In a word, yes. Samsung’s Audio Eraser is almost identical to Google’s Audio Magic Eraser, from how you access it to the level of control you have over your audio. In fact, the two even look similar, segmenting your clip into categories like music, voices, noise, and wind — each of which you can adjust individually. And, if you’re like me and can’t consider yourself an audio expert, both editing tools offer an Auto button, which will do its best to balance the sound for you.

However, just because the broad strokes of Audio Eraser and Audio Magic Eraser are pretty similar doesn’t mean that they’re direct clones. For starters, Samsung’s Galaxy AI processes its audio on-device, so you should be able to use its Audio Eraser just about anywhere. That could come in handy if you’re out in the woods and want to enhance (or dull) the sounds of nature while away from a reliable cellular network. Google’s service, on the other hand, uses the cloud to process audio, sending your clips off-device and making the feature more challenging to use with spotty coverage.

Unfortunately, that reliance on the cloud gives Google’s Audio Magic Eraser another pretty strict limitation: You can only process clips shorter than two minutes. For most people, that won’t matter too much — I rarely take long phone videos in my day-to-day life. As an avid climber, even if I record a scamper up the wall, I’m usually to the top of the problem and back down long before the time limit, as you’ll see in a second.

Samsung's Audio Eraser works on-device, which gives it much more flexibility than Google's Audio Magic Eraser.

However, Google’s two-minute countdown makes some of those special occasions in life much tougher. Say, for example, that you’re headed to a concert and want to grab a video of your favorite song, like my colleague Hadlee did when he saw Brand New perform in 2017. He dutifully held his Lumia 1020 high above the crowd for nearly five minutes while they played The Boy Who Blocked His Own Shot, only to realize later how loud and off-key the concertgoer beside him was. Sadly, when he later tried to upload the video to Google Photos for some music magic, he found that he could only cover one half of the song at a time.

Samsung’s Audio Eraser, on the other hand, doesn’t have that limit. Because everything happens on-device, you can upload and process much longer clips, allowing you to clean up the song from start to finish. How well the finished product turns out varies greatly depending on the quality of the original video, but I’m certainly saying there’s a chance you could pull off an impressive cleanup. Of course, that also means you’ll need a more powerful processor to handle Samsung’s Galaxy AI demands, which is why Audio Eraser remains a flagship-only feature.

Now that you have a basic idea of how Samsung’s Audio Eraser works, let’s test it. As you might have guessed, the two scenarios I referenced above are exactly the ways I decided to test the AI-powered tool. In the interest of being thorough, I added Google’s Audio Magic Eraser to the mix for good measure. So, in the clips you see below, you’ll get the original audio, followed by Samsung’s attempt at a cleanup, and then followed by Google’s shot at the same.

Audio Eraser vs Audio Magic Eraser at the climbing gym.

Up first, I decided to give the Galaxy S25 Ultra what I thought would be an easy test. I figured that taking it to an indoor climbing gym would reduce some of the noise, and shooting directly from my Samsung flagship would guarantee good enough video quality. As it turns out, I was only partially correct. From a video quality perspective, my trip up an orange V3 route looks excellent — it’s sharp, and I stay comfortably in the frame the entire time. However, from an Audio Eraser point of view, I’m a little disappointed.

In the original clip, you can easily make out a few people chatting in the background and the clattering of someone dropping a heavy barbell just a few seconds in. No big deal, it’s a gym, this stuff happens. But, when I let Audio Eraser do its thing, I found that Samsung’s treatment made it sound like I was listening to everything with a cup pressed over my ear. The voices were muffled but not erased, and the clang of the weights gained reverb rather than softening to a gentle crash. You can also easily make out the start of Stuck in the Middle with You by Stealers Wheel, which is a great song but not necessarily the soundtrack I was hoping for.

Perhaps worse for Samsung is that Google’s Audio Magic Eraser processed the scene much improved. No, it didn’t completely erase any of the sounds, but it reduced the key annoyances I mentioned above without distorting the remaining audio. You can once again still hear a bit of the background chatter and the fall of the barbell, but they’re consistently softer. My only real complaint with Google’s treatment, though, is the fact that it couldn’t quite face the music. It didn’t seem entirely sure whether to amplify or erase Gerry Rafferty’s vocals, softening the song at first but bringing it back to full strength shortly after.

Audio Eraser vs Audio Magic Eraser at a concert.

Despite the initial stumbles on what I thought would be an easy test, I decided to keep going with both Audio Eraser and Audio Magic Eraser. After all, I owed it to my buddy Hadlee to see if we could make his Brand New memories sound, well, brand-new. Unfortunately, I’d have to say that both Google and Samsung had just as much trouble this time around, but they traded strengths for weaknesses.

This time, Samsung’s Audio Eraser ditched its strange reverb effect, replacing it with muffled vocals and instrumentation. At a few points, it seems as though the Galaxy S25 Ultra could not distinguish between the cheering fans and the drums, and at around 42 seconds into the clip, it even decided that vocalist Jesse Lacey was part of the crowd rather than standing onstage. Granted, Samsung’s Galaxy AI quickly realized its mistake, bringing Lacey back to full volume a few seconds later, but the constant volume changes don’t make the audio any easier to listen to.

To its credit, Google doesn’t mute Lacey partway through its processing, but it falls into the reverb trap that it escaped in the climbing gym. For whatever reason, it doesn’t seem entirely confident in reducing the noise of the crowd all the way, leaving just enough of the annoying, off-pitch fan to Hadlee’s right side for my liking. Bear in mind, this is the result with a few of Google’s sliders turned as low as they’ll go — all the way to -100. Had I left some of them a bit higher, the balance might have been advanced, but I would have kept more of the crowd in addition to sharper vocals, which wasn’t my goal.

Maybe, just maybe, an eight-year-old video is too big a task for AI to handle right now.

So, there you go — a slightly underwhelming end to an initially hopeful experiment. Given my love for the standard Magic Eraser (and Samsung’s Object Eraser), I thought the video version would be further along. I realize that feeding an eight-year-old clip through both my Pixel 9 Pro and Galaxy S25 Ultra might have been asking for a bit too much magic, but it doesn’t explain the similar struggles with a video shot natively on Samsung’s most capable camera setup.

Yet, I’m sure this is only the start for Audio Magic Eraser and Audio Eraser. Both Google and Samsung will likely upgrade their erasers soon, and I’ll just have to wait patiently for the finished product to get a bit sharper.

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The new Bose QuietComfort headphones are a no-brainer at this price on Amazon

The new Bose QuietComfort headphones are a no-brainer at this price on Amazon

New Bose QuietComfort headphones: Save $100 on Amazon! $100 off (29%) Bose's new QuietComfort headphones are discounted by $100 on Amazon and can be yours for just under $250. The headphones offer premium sound, boast superb, and deliver up to 24 hours of battery life. Don't miss out! Save while you can! This offer is not available in your area.

The latest QuietComfort headphones are the successor to the legendary Bose QuietComfort 45 and are positioned just below the top-of-the-line QuietComfort Ultra. While they fall in the premium segment, they miss out on attributes such as Spatial Audio and head-tracking. Nonetheless, they still deliver an exceptional sound, making them the perfect choice if you want top-quality Bose cans without overspending. Plus, they work with the Bose Music app, which boasts its own EQ, allowing you to tailor their audio to your preferences.

With their top-quality sound, incredible ANC, and solid battery life, the Bose QuietComfort headphones are worth every penny. So, don't miss out on getting them for less—tap the offer button in this article and place your order today! The latest QuietComfort headphones are the successor to the legendary Bose QuietComfort 45 and are positioned just below the top-of-the-line QuietComfort Ultra. While they fall in the premium segment, they miss out on aspects such as Spatial Audio and head-tracking. Nonetheless, they still deliver an exceptional sound, making them the perfect choice if you want top-quality Bose cans without overspending. Plus, they work with the Bose Music app, which boasts its own EQ, allowing you to tailor their audio to your [website] also feature Bose's industry-leading ANC technology, so you can enjoy your favorite tunes without distractions. With up to 24 hours of battery life on a single charge, you can listen all day long. And if you need a quick boost, just 15 minutes of charging will give you up to two and a half hours of listening [website] their top-quality sound, incredible ANC, and solid battery life, the Bose QuietComfort headphones are worth every penny. So, don't miss out on getting them for less—tap the offer button in this article and place your order today!

Amazon may be offering the premium Sennheiser Momentum 4 headphones for $130 off , allowing you to snag a pair for just under $250, but if you're a Bose fan, you'll probably go for the high-end QuietComfort headphones instead, which are available at a similar [website] addition to this generous $130 discount on Sennheiser's flagship headphones, Amazon is also offering a sweet $100 price cut on Bose's latest QuietComfort cans. This lets bargain hunters looking to upgrade their listening experience score a pair for south of $250. And just like with the Sennheiser Momentum 4, all color options of these Bose headphones are discounted right now, allowing you to get the paint job that best fits your taste. Just act fast and get a set now, as there's no telling how long this offer will be available and might end soon.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
7.3%8.8%9.3%10.3%10.8%11.2%11.3%
7.3%8.8%9.3%10.3%10.8%11.2%11.3% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.6% 10.8% 11.1% 11.3%
10.6% Q1 10.8% Q2 11.1% Q3 11.3% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Smartphones42%8.7%
Mobile Applications26%14.5%
Mobile Infrastructure17%12.8%
Wearables11%18.9%
Other Mobile Tech4%9.4%
Smartphones42.0%Mobile Applications26.0%Mobile Infrastructure17.0%Wearables11.0%Other Mobile Tech4.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Apple24.3%
Samsung22.7%
Huawei14.2%
Xiaomi11.8%
Google Pixel5.4%

Future Outlook and Predictions

The Galaxy Google Doing landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the mobile tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing mobile tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of mobile tech evolution:

Battery technology limitations
Privacy concerns
Device interoperability issues

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

cloud computing intermediate

interface