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.
Technology
Wisconsin governor says ‘no’ to age checks for porn
Wisconsin Governor Tony Evers vetoed a bill that would’ve required residents to verify their age before accessing porn sites, as reported earlier by 404 Media. In a letter to the members of the assembly last week, Evers writes that the bill “imposes an intrusive burden on adults who are trying to access constitutionally protected materials.”
The bill (AB 105) would’ve required sites with more than one-third of their total content deemed harmful to minors to impose a “reasonable” form of age verification, such as asking users to show their government-issued ID. More than two dozen states have already passed similar age check requirements for access to adult content, including Arizona, Florida, Georgia, Missouri, Texas, and Virginia. As a result, Pornhub has blocked its site in these locations.
Last month, the Wisconsin American Civil Liberties Union testified that AB-105 “raises significant concerns around privacy, surveillance, and the First Amendment,” and it seems like Governor Evers agreed. “I am vetoing this bill in its entirety because I object to this bill’s intrusion into the personal privacy of Wisconsin residents,” Evers writes, adding that he’s “concerned about data security and the potential for misuse of personally identifiable information” obtained as a result of the age verification process.
An early version of Wisconsin’s age verification bill also included a ban on virtual private networks (VPN), which people have been using to circumvent online age checks. Lawmakers dropped this provision in February, though VPNs are becoming a target for regulators around the globe.
Despite vetoing this bill, Evers is leaving the door open for other kinds of age verification solutions, such as “device-based” methods that would verify the age of users on their phone or computer.
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You get a text message. It says Amazon is hiring. The pay sounds great. The work is easy. It feels like a lucky break. Then you read it again. That is when things start to feel off, and you realize it could be a scam. Let’s break down the exact text message scammers are sending and call out every red flag so you know what to watch for next time.
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YOUTUBE JOB SCAM TEXT: HOW TO SPOT IT FAST
A text claiming Amazon is hiring may look convincing at first, but generic wording, unrealistic pay and a missing hiring process are major scam red flags. (Miguel J. Rodriguez Carrillo/Bloomberg via Getty Images)
The biggest red flags in this Amazon job text
Here is what stands out right away in this message.
1) It starts with a generic greeting
The message opens with “Hi” and does not include your name. Legitimate recruiters usually personalize outreach, especially for a job opportunity. A generic greeting suggests this message was sent to many people at once.
2) You did not apply for this job
The message shows up out of nowhere, which should immediately raise concern. In this case, there was no application submitted and no prior contact with a recruiter. Because of that, the outreach feels unexpected and unverified. Legitimate companies do not randomly text people with job offers, especially without any previous interaction.
3) The sender does not match the company
The message comes from a random Hotmail email address, not an official Amazon domain. Real recruiters from Amazon use corporate email accounts tied to Amazon. They do not text you from a generic email or personal number. That alone should stop you in your tracks.
4) The job offer is vague
The role description sounds broad and generic. “Supporting Amazon sellers” and “online tasks” could mean anything. There are no clear responsibilities, no team, no department. Scammers keep things vague on purpose. It helps them reach more people.
5) The pay makes no sense
The message promises $100 to $600 per day for about an hour of work. That is not how legitimate jobs work. When you see high pay for very little effort, that is often bait designed to pull you in fast.
6) The numbers do not add up
It mentions a base pay of $1,000 for every four working days. That conflicts with the daily rate listed earlier. Inconsistent details are a common scam signal. Real job offers are clear and consistent.
7) They push you to respond quickly
The message asks you to text “Interested” to a phone number instead of applying through a formal process. There is no application, no interview and no verification. Because of that, the urgency is intentional and designed to get a fast response before you have time to think it through.
8) The phone number looks unusual or international
The message tells you to text a number like +14482009251. At first glance, it may look like a U.S. number because of the +1 country code. But scammers often use internet-based numbers that can be routed from anywhere. Legitimate recruiters rarely ask you to move a job conversation to a random phone number. If the number feels off, trust that instinct.
9) The age requirement is unusual
It says, “If you are 25 or older.” That is not a standard hiring requirement for most roles. Random restrictions like this are another sign that something is off.
10) No official hiring process
There is no mention of:
- A job listing
- A company’s careers page
- A recruiter profile
- An interview
Legitimate companies follow structured hiring steps. They do not skip straight to texting.
SSA IMPERSONATION SCAMS ARE GETTING MORE PERSONAL
Job scammers are now targeting phones with fake Amazon recruiting texts that promise easy remote work and fast money. (Michael Nagle/Bloomberg via Getty Images)
Why this scam works so well
These messages hit a sweet spot for many people. They promise flexible work while also offering remote roles and quick income. As a result, that combination is hard to ignore, especially if you are job hunting. Because of this, scammers design messages that feel like an opportunity rather than a risk.
What this means to you
You are likely to see more messages like this. Job scams have moved from email to text because people respond faster on their phones. That means you need to slow down and question anything that feels too easy or too good. A real opportunity will still be there tomorrow. A scam depends on speed.
We reached out to Amazon about this text message scam, and a spokesperson told us:
“Scammers that attempt to impersonate Amazon put consumers at risk. We will continue to invest in protecting consumers and educating the public on scam avoidance. We encourage consumers to report suspected scams to us so that we can protect their accounts and refer bad actors to law enforcement to help keep consumers safe.”
Ways to stay safe from job text scams
Start with a quick gut check. Then take these steps.
1) Verify the company directly
Go to the official website of Amazon and check their careers page. If the job is real, it will be listed there.
2) Do not respond to unknown job texts
Instead, ignore the message completely. Do not text back, click any links or call the number. Even a quick reply can confirm your number is active, which may lead to more scam attempts.
3) Remove your data from broker sites
Scammers often find your number through data broker websites that collect and sell personal information. Using a trusted data removal service can help reduce your exposure by removing your information from hundreds of these sites and lowering the chances of being targeted. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com
4) Use strong antivirus protection
If a scam message leads you to a link, your device could be exposed. Strong antivirus software helps block malicious downloads before they cause harm. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android & iOS devices at Cyberguy.com
5) Watch for unrealistic pay
High pay for minimal work is one of the biggest warning signs. If it sounds easy, assume there is a catch.
TECH GIANTS UNITE TO FIGHT ONLINE SCAMS
If a text promises Amazon work with high pay for little effort, treat it as suspicious and verify the job through official channels. (Jim Young/Bloomberg via Getty Images)
6) Check the sender carefully
Look at the email or phone number. If it is not tied to the company, treat it as suspicious.
7) Protect your personal information
Never share sensitive details like your Social Security number, banking information or ID through text. Real employers use secure systems, not text messages.
8) Delete and report the message
After you spot the red flags, delete the message right away. In addition, use your phone’s “Report Spam” option to flag it. This helps your carrier and messaging apps identify similar scams and block them for others. Also, Amazon recommends visiting its help pages to find additional information on how to identify scams and report them at amazon.com/ReportAScam.
Kurt’s key takeaways
At first, the message looks polished. It uses a name and references a well-known company while laying out pay and benefits. However, once you slow down, the problems become clear. For example, the greeting is generic, and you never applied. In addition, the sender does not match the company, and the phone number feels off. On top of that, the pay is unrealistic, and the hiring process is missing entirely. This is how most scams work. They depend on speed instead of accuracy.
Have you ever received a job text like this, and what tipped you off that it was a scam? Let us know by writing to us at Cyberguy.com
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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.
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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.
US TARGETS CHINESE ROBOTS OVER SECURITY FEARS
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.
AI ROBOT NOW HELPS TRAVELERS AT SAN JOSÉ AIRPORT
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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If robots can soon learn tasks just by watching us, how comfortable are you with sharing your work with a machine that might one day do it better? Let us know by writing to us at Cyberguy.com
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