AI music platform Suno’s policy is that it does not permit the use of copyrighted material. You can upload your own tracks to remix or set your original lyrics to AI-generated music. But, it’s supposed to recognize and stop you from using other people’s songs and lyrics. Now, no system is perfect, but it turns out that Suno’s copyright filters are incredibly easy to fool.
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Amazon’s Big Spring Sale 2026: all of the latest deals
If you’re looking for the best time to get a deal this spring, it might very well be during Amazon’s Big Spring Sale, which runs through 11:59PM PT tonight. We’re still highlighting the best that the sale has to offer, including the many so-called “doorbuster” deals that will appear throughout the remainder of the seasonal shopping event.
Despite the fact that the sale will end in a few short hours, you can find deals on all sorts of consumer tech, from personal audio and home theater upgrades to steep discounts on video games, mobile accessories, and various doo-dads for tinkerers. Given that the sale coincides with the arrival of spring, you can also find deals on plenty of outdoor-friendly gear, including portable Bluetooth speakers, open-style earbuds, and more.
Amazon’s annual spring sale doesn’t require a Prime membership to participate in, either. Most of the deals are available to everyone, with big-name retailers like Best Buy, Walmart, and Target matching Amazon’s pricing in many instances. There are sure to be some Prime-exclusive sales in the mix, so regardless of where you plan to shop, we’ve got you covered.
Technology
Suno is a music copyright nightmare
With minimal effort and some free software, Suno will spit out AI-generated imitations of popular songs like Beyoncé‘s “Freedom,” Black Sabbath’s “Paranoid,” and Aqua’s “Barbie Girl” that are alarmingly close to the original. Most people will likely be able to tell the difference, but some could be mistaken for alternate takes or B-sides at a casual listen. What’s more, it’s possible someone could monetize these uncanny valley covers by exporting them and uploading them to streaming services. Suno declined to comment for this story.
Making these covers requires using Suno Studio, available on the company’s $24-a-month Premier Plan. Rather than prompting a whole song with text, Suno Studio lets you upload a track to edit or cover. It’s likely to catch and reject a well-known hit with no tweaks. But using a basic free tool like Audacity to slow down a track to half-speed or speed it up to twice normal will often bypass the filter, and adding a burst of white noise to the start and end seems to basically guarantee success. You can restore the original speed and cut the white noise in Suno Studio, and the copyrighted song becomes the seed for new AI music.
If you generate a cover of the imported audio without any style transfers, Suno basically spits out the original instrumental arrangement with very minimal tweaks to the sound palette if you’re using model 4.5 or 4.5+. Model v5 is a bit more aggressive in taking liberties with the source material, adding chugging guitar and galloping piano to “Freedom” and turning the Dead Kennedys’ “California Über Alles” into a fiddle-driven jig.
Suno lets you add vocals by generating lyrics or typing words into a box, and once again, it’s supposed to block anything copyrighted. If you copy and paste the official lyrics for a song from Genius, Suno will flag them and spit out gibberish vocals. But extremely minor changes can bypass this filter as well.
I was able to trick Suno Studio by tweaking the spelling of a handful of words in “Freedom” — changing “rain on this bitter love” to “reign on” and “tell the sweet I’m new” to “tell the suite” — and beyond the first verse and chorus, I didn’t even need to do that. The voice closely mimics the original recording, summoning slightly off-brand renditions of Ozzy or Beyoncé.
Indie artists might not even be afforded that level of protection. One of my own songs cleared the copyright filter while I was testing v5 of the company’s model. I was also able to get tracks by singer-songwriter Matt Wilson, Charles Bissell’s “Car Colors,” and experimental artist Claire Rousay by Suno’s copyright detection system without any changes at all. Artists on smaller labels or self-distributing through Bandcamp or services like DistroKid are most likely to slip through the cracks; DistroKid and CD Baby declined to comment.
The results of these AI covers fall firmly in the uncanny valley. The songs they’re covering are unmistakable: the riff from “Paranoid” remains identifiable and “Freedom” is obviously “Freedom” from the moment the marching snare hits kick in. But there is a lifelessness to them. Even if AI Ozzy is alarmingly accurate-sounding, it lacks nuance and dynamics, leading it to feel like an imitation of a human, rather than the real thing.
The instrumentals similarly discard any interesting artistic choices the originals make, or clone them in flat imitations. A non-jig “California Über Alles” cover has most of its rough edges sanded down so it sounds like a wedding band version of the original. Pink Floyd’s “Another Brick in the Wall” goes from an experiment in doom disco to just vacuous dancefloor filler. And, while it kind of nails David Gilmour’s guitar tone, it does away with any sense of phrasing or progression, turning the solo into just a mindless stream of notes.
Creating unauthorized covers violates both the stated purpose of Suno, and the terms of service. Moreover, Suno only appears to scan tracks on upload; it doesn’t seem to recheck outputs for potential infringement, or rescan tracks before exporting them. The path to monetizing Suno-created covers is simple from there. AI slopmongers could upload them through a distribution service like DistroKid and profit from other people’s songs without paying the typical royalties a cover would give the original composer. And independent artists seem to be the most vulnerable.
Folk artist Murphy Campbell discovered this recently when someone uploaded what seem to be AI covers of songs she posted on YouTube to her Spotify profile. (It’s not clear what system they were generated through.) Shortly afterwards, distributor Vydia filed copyright claims against her YouTube videos and began collecting royalties on them. And to highlight just how broken the whole system is, the songs which Vydia successfully filed copyright claims for are all in the public domain. Spotify eventually removed the AI covers, and Vydia has rescinded its copyright claims, but that only happened following a social media campaign by Campbell. Vydia says the two incidents are separate and it is not associated with the AI covers of Campbell’s work.
AI fakes are a problem for other artists too. Experimental composer William Basinski and indie rock group King Gizzard and The Lizard Wizard have had imitations slip through multiple filters and reach streaming platforms like Spotify. Sometimes, these fake songs can siphon up views straight from the artist’s own page. In a system where payouts can already be brutally low — Spotify requires a minimum of 1,000 streams to get paid — less famous musicians are hit hardest.
Suno is only one cog in a clearly broken system.
Services like Deezer, Qobuz, and Spotify have taken measures to combat spammy AI and impersonators. Spotify spokesperson Chris Macowski told The Verge that the company “takes protecting artists’ rights seriously, and approaches it from multiple angles. That includes safeguards to help prevent unauthorized content from being uploaded in the first place, along with systems that can identify duplicate or highly similar tracks. Those systems are backed by human review to make sure we’re getting it right.” But no system is perfect, and keeping up with a flood of AI slop enabled by platforms like Suno poses a challenge.
Macowski acknowledged the technical difficulties involved, saying, “It’s an area we’re continuing to invest in and evolve, especially as new technologies emerge.”
Suno is only one cog in a clearly broken system. But it’s one artists have particularly little recourse to fight. Bands can contact Spotify and have AI fakes removed from their profile. It’s harder to tell how those fakes are generated, and if they’re the result of Suno’s filters failing. And so far, Suno’s response is silence.
Technology
Humanoid robot shows speed and real skill
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By now, you’ve no doubt seen humanoid robots run, flip and pull off impressive stunts in recent years. That alone is no longer the headline. What stands out here is how controlled and repeatable the movement appears in a non-lab setting.
Engineers at Korea Advanced Institute of Science and Technology, also known as KAIST, built a humanoid that runs, jumps and even moonwalks with smooth control. In a recent field test, the robot sprinted across a soccer field, kicked a ball toward the goal and changed direction without hesitation.
That is the real shift. It is not about pulling off one impressive move. It is about doing it over and over without missing a beat.
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The KAIST humanoid accelerates across a soccer field, showing its balance and high-speed control in motion. (KAIST)
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What makes this humanoid robot feel more human
At about five foot five and 165 pounds, this machine was designed to move fast without losing balance. The team, led by Hae-Won Park, focused on building everything from scratch instead of relying on off-the-shelf parts.
That decision pays off. By designing their own motors, gear systems and controllers, the engineers could fine-tune how power flows through the robot’s body. The result is better torque and faster response when it needs to react in real time.
One standout feature is its Quasi-Direct Drive system. It pairs strong motors with low gear ratios, which helps the robot respond quickly while staying stable. A compact gearbox design also keeps the system lighter and more efficient.
All of that adds up to performance you can see. The robot can run up to about 7.3 miles per hour and climb steps taller than a foot. That is already impressive, and the team is working toward even higher.
Why the robot’s movement looks so natural
Speed alone does not make a robot feel realistic. Movement quality matters just as much. This is where Physical AI comes in. Instead of simply following pre-programmed steps, the robot learns how to move in ways that match real human motion.
Researchers trained it using deep reinforcement learning combined with human movement data. That training happened in simulation first, then carried over to the real world. The payoff is clear. Movements look fluid instead of robotic. Transitions between actions feel smoother. Even complex motions like dancing or kicking a ball appear controlled rather than forced.
Another interesting detail is how the robot navigates. It can move across uneven terrain using internal sensing, also called proprioception, without relying on cameras. That opens the door for use in environments where visibility is poor.
The human robot tracks and kicks a soccer ball with precise foot placement and smooth coordination. (KAIST)
How this humanoid robot could work in real jobs
It is easy to watch a robot moonwalk and think this is just a cool demo. The reality is more practical. The research team is working toward a full humanoid system that can operate in real workplaces. That includes climbing ladders, handling tools and adapting to unpredictable environments. They are also developing a system called DynaFlow. The goal is to let robots learn directly from human demonstrations. In simple terms, a worker could show a task once, and the robot could learn to repeat it. That kind of learning could reshape how automation works across industries.
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What this means to you
You may not be buying a humanoid robot anytime soon, but this shift is closer to your daily life than it sounds. Robots are getting much better at moving in the real world. That means they can start taking on work that used to be too complex for machines. Think of jobs that require balance, quick reactions or constant adjustment.
As a result, industries like construction, manufacturing and logistics could start using humanoid robots more often. These are environments where flexibility matters, and that is exactly what this new generation is built for. At the same time, more everyday tasks are becoming possible to automate. Not just repetitive work, but physical work that once required human coordination and judgment.
All of this points to a bigger change. The line between human work and machine assistance is starting to blur, and that will shape how many jobs look in the years ahead.
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Kurt’s key takeaways
The KAIST humanoid is not just about speed or flashy moves. It reflects a bigger change in how robots are built and trained. By combining custom hardware with smarter AI, researchers are pushing machines closer to human-like capability. That does not mean robots are replacing people tomorrow, but it does mean the pace of change is picking up. When a robot can run, adapt and move naturally, it becomes useful in ways older machines never could.
Mid-stride, the humanoid maintains stability and control as it moves across the field in real-world conditions. (KAIST)
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Technology
Los Thuthanaka’s Wak’a is a mellower follow-up to last year’s surprise Pitchfork favorite
Los Thuthanaka basically came out of nowhere last year to capture Pitchfork’s album of the year with their self-titled debut. Because it wasn’t available on streaming, it largely flew under the radar. I honestly kind of forgot about it until Pitchfork gave it the number one spot in its year-end list. In retrospect, I’m not entirely sure how, though. Los Thuthanaka sounds like nothing else. It’s joyous, jagged, and sounds like it’s being blasted out of a broken Bluetooth speaker in your neighbor’s backyard — it’s glorious.
The follow-up EP Wak’a turns down the tempo and smooths some of the sharper edges. It uses the same sound palette of blown-out speakers and sampled traditional Bolivian instruments that’s equal parts pluderphonics and psychedelic rock. But Wak’a is just as indebted to shoegaze. Its chord progressions and melodies are more wistful, the guitars drenched in fuzz and reverb. There are horns and keys that peek through the mix like half-forgotten memories of other songs.
Siblings Chuquimamani-Condori and Joshua Chuquimia Crampton deliver an aural interpretation of the Aymara creation legend of the first sunrise over the course of three songs, lasting just 18 and a half minutes. If you buy Wak’a on Bandcamp, the download includes a PDF created in collaboration with Ch’ama Native Americas that tells the story in the Aymara language.
Fittingly, the EP feels like a world emerging from darkness. The opening track “Quta (capo-kullawada)” starts with a low synth drone and chirping crickets before an Eno-esque guitar melody and loping distorted drum line kick in. “Wara Wara (capo-kullawada)” is beautiful, but also terrifying. The wall of sound is oppressive and startling in the way you might expect the first burning rays of sunlight would be to people who had existed in perpetual night beforehand. It eventually reaches the sort of cathartic apex that many musicians spend their whole careers chasing as horns, keyboards, growling vocals, and asymmetrical guitars all collide in a chaotic inferno.
By comparison, “Ay Kawkinpachasa? (capo-kullawada)” is a soothing comedown, despite its undeniably dense arrangement where individual instruments are increasingly difficult to pick out. There are what sound like accordion, fiddle, and keys all fighting for the same sonic real estate, and stuttering guitars eventually take over just in time for the EP to end.
For those who found the group’s self-titled record a touch too abrasive, this EP offers a more approachable introduction to their unique sound. Los Thuthunaka’s Wak’a is available now on Bandcamp.
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