Technology
FCC cracks down on robocall reporting violations
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If you are tired of scam calls slipping through the cracks, federal regulators just took a meaningful step. The Federal Communications Commission finalized new penalties aimed at telecom companies that submit false, inaccurate or late information to a key anti-robocall system. The changes go into effect Feb. 5. They strengthen oversight of the Robocall Mitigation Database, which plays a central role in tracking spoofed calls and holding providers accountable.
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What changed and why it matters
Under the new rules, voice service providers must recertify every year that their filings in the Robocall Mitigation Database are accurate and current. The FCC will now back that requirement with real financial consequences.
The FCC is cracking down on robocalls by tightening rules that govern how telecom providers verify and report call traffic. (iStock)
FCC SCRUBS OWN REFERENCE TO ‘INDEPENDENT’ AGENCY FROM WEBSITE AFTER DEM’S TESTY EXCHANGE WITH CHAIRMAN
Here is what the commission approved:
- $10,000 fines for submitting false or inaccurate information
- $1,000 fines for each database entry not updated within 10 business days
- Annual recertification of all provider filings
- The FCC also adopted a $100 filing fee for initial Robocall Mitigation Database submissions and for required annual recertifications.
- Two-factor authentication to protect database access
- A $100 application fee for initial filings and annual recertifications
The FCC also made clear that these violations are considered ongoing until corrected, meaning fines can accrue on a daily basis rather than being treated as one-time penalties.
According to the FCC, many past submissions failed basic standards. Some lacked accurate contact details. Others included robocall mitigation plans that did not describe any real mitigation practices at all.
How the Robocall Mitigation Database works
The Robocall Mitigation Database requires providers to verify and certify the identities of callers that use their networks. Regulators and law enforcement rely on it to trace spoofed calls and illegal robocall campaigns. That task is harder than it sounds. America’s telecom system is vast and fragmented. Calls often pass through multiple networks owned by major carriers like Verizon and AT&T, as well as smaller regional providers and VoIP services. When calls hop between networks, verification can be missed or ignored. For years, the FCC did not closely verify or enforce the accuracy of these filings. That gap raised serious concerns.
Under the updated rules, providers that fail to recertify or correct deficient filings can be referred to enforcement and removed from the database, which can prevent other carriers from carrying their calls at all.
Why inaccurate robocall data hurts consumers
When robocall filings are wrong or outdated, scam calls are more likely to reach your phone. Providers may treat a call as trusted even when it should raise red flags. That gives robocallers more time to operate and makes it harder for regulators to shut them down quickly. The FCC says stronger penalties and tighter oversight are meant to close that gap before consumers pay the price.
New FCC penalties target inaccurate robocall filings that have allowed scam calls to slip through carrier networks. (Kurt “CyberGuy” Knutsson)
Pushback and pressure on the FCC
When the FCC proposed penalties, it asked whether violations should be treated as minor paperwork mistakes or as serious misrepresentations. Telecom trade groups pushed back. They argued that fines should not apply unless providers first get a chance to fix errors or unless the FCC proves the filings were willfully inaccurate.
State attorneys general and the robocall monitoring platform ZipDX urged a tougher stance. They warned that false filings undermine every effort to stop illegal robocalls. The FCC ultimately chose a middle path. It rejected treating violations as harmless paperwork errors. At the same time, it stopped short of imposing the maximum penalties allowed by law.
What this means to you
For everyday consumers, this move matters more than it may seem. Accurate robocall reporting makes it easier to trace scam calls, shut down bad actors and prevent spoofed numbers from reaching your phone. Stronger penalties give telecoms a reason to take these filings seriously instead of treating them as routine compliance chores.
11 EASY WAYS TO PROTECT YOUR ONLINE PRIVACY IN 2025
The FCC also set a firm annual deadline. Providers must recertify their robocall mitigation filings each year by March 1, creating a predictable enforcement checkpoint. While this will not end robocalls overnight, it tightens a weak link that scammers have exploited for years.
Simple steps you can take right now to reduce robocalls
Even with tougher FCC enforcement, scam calls will not disappear overnight. Here are a few smart steps you can take today to reduce your risk.
- Do not answer unknown calls. If it is important, a legitimate caller will leave a voicemail.
- Never press buttons or say yes to robocall prompts. That confirms your number is active and can trigger more scam calls.
- Report scam calls to your carrier. Most major carriers let you report robocalls directly through their call log or app.
- Register your number with the National Do Not Call Registry at donotcall.gov/. It will not stop scammers, but it can reduce legitimate telemarketing calls.
- Block repeat offenders. If the same number keeps calling, block it so your phone stops ringing altogether.
- Be cautious with callback numbers. Scammers often spoof local area codes to look familiar.
The FCC says accurate robocall reporting by telecoms helps carriers identify and shut down scam traffic faster, but consumer habits still matter.
Pro tip: remove your personal data at the source
Robocalls do not come out of nowhere. Many start with your personal information being sold or shared by data brokers. These companies collect phone numbers, addresses, emails and even family details from public records, apps, purchases and online activity. Scammers and shady marketers buy that data to build call lists. Removing your data from data broker sites can reduce the number of robocalls you receive over time. You can try to do this manually by finding individual data broker websites and submitting removal requests one by one. The process is time-consuming and often needs to be repeated.
Some people choose to use a data removal service to automate this process and continuously monitor for re-posting. That can help limit how often your phone number circulates among marketers and scammers. Less exposed data means fewer opportunities for robocallers to target you. Cutting off robocalls often starts long before your phone rings.
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.
Get a free scan to find out if your personal information is already out on the web: Cyberguy.com.
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By strengthening oversight and accountability, the FCC aims to shut down illegal robocalls before they ever reach your phone. (Kurt “CyberGuy” Knutsson)
Kurt’s key takeaways
Robocalls thrive when accountability breaks down. By adding meaningful fines, stronger security, annual recertification and filing fees, the FCC is signaling that accuracy is no longer optional. Because penalties can continue to build until problems are fixed, telecoms now face real consequences for ignoring or delaying corrections. This rule forces providers to own their role in stopping illegal calls instead of passing the blame along the network chain. Real progress will depend on enforcement, but this is one of the clearest signs yet that regulators are closing gaps scammers rely on.
Do you think stricter penalties will finally push telecoms to take robocall prevention seriously, or will scammers just find the next loophole? Let us know by writing to us at Cyberguy.com.
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Technology
Amazon.com says things are fixed after some issues with logging in and checking out
If you were having issues shopping on Amazon or loading your playlists on Amazon Music on Thursday, you weren’t alone. For over three hours today, Downdetector showed a sizable spike in people reporting issues with checkout, search, and logging in. The problem seemed to be affecting both the site and the mobile apps. But an Amazon spokesperson tells The Verge that the issues are now fixed.
“We’re sorry that some customers may have temporarily experienced issues while shopping,” Amazon spokesperson Jennie Bryant says in a statement. “We have resolved the issue, which was related to a software code deployment, and website and app are now running smoothly.”
Several Verge staffers experienced issues themselves when there were problems. Clicking through to many products produced a “sorry, something went wrong” error, and even pages that did load were not showing pricing. Users reported being repeatedly logged out of their accounts when trying to check out or load their cart. Even the parts of Amazon.com that were working seem to be loading slowly.
The company has been dealing with AWS outages in Bahrain and the United Arab Emirates due to drone strikes by the Iranian military, but there has not been any word of more widespread outages in the US or elsewhere.
Update March 5th: Added comment from Amazon saying that things are fixed.
Technology
$163K in fake medical bill charges; AI uncovers it for you
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Last summer, a man’s brother-in-law suffered a fatal heart attack. The hospital bill for four hours of emergency care: $195,628.
The man’s sister-in-law was ready to pay it. He asked her to wait. He requested an itemized bill with CPT codes, the universal billing codes hospitals use, and fed the whole thing into Claude, an AI chatbot.
Within minutes, Claude found duplicate charges, services billed as “inpatient” even though the patient was never admitted, supply costs inflated by 500% to 2,300% above Medicare rates and charges for procedures that never happened. He cross-checked with ChatGPT. Both AIs agreed. He wrote a six-page letter citing every violation by name.
The hospital dropped the bill to $33,000. An 83% reduction. Zero medical training. A $20 app.
A man cross-checked a hospital bill with AI and got it reduced by some 83%. (Neil Godwin/Getty Images)
Your bill is probably wrong, too
That story sounds extreme. It’s not.
The Medical Billing Advocates of America estimates 3 out of 4 medical bills contain errors. The average hospital bill over $10,000 has roughly $1,300 in mistakes. And less than 1% of denied insurance claims are ever appealed. Hospitals and insurers are banking on the fact that you won’t check.
AI flips that equation. You don’t need to understand CPT codes or have a medical billing degree. You just need to paste.
You can use AI platforms, like ChatGPT, to spot errors or suspicious charges on medical bills. (Jaap Arriens/NurPhoto via Getty Images)
The 5-minute audit
Step 1: Call your provider and request an itemized bill with CPT codes. Not the summary. The full line-by-line breakdown. You’re legally entitled to this.
Step 2: Open ChatGPT, Claude, Grok or Gemini (free versions work) and paste this:
“I’m pasting my itemized medical bill below. Please: (1) Explain every charge in plain English, (2) Flag any duplicate or suspicious charges, (3) Compare each charge to average costs, (4) Identify billing code errors or bundling violations, and (5) Draft a dispute letter I can send to the billing department. Here’s my bill:”
Step 3: Paste your bill. The AI will translate every line and tell you what looks wrong.
WOMAN SAYS CHATGPT SAVED HER LIFE BY HELPING DETECT CANCER, WHICH DOCTORS MISSED
If the AI finds errors, call the billing department and ask for a supervisor. (iStock)
Step 4: If the AI finds errors (it probably will), call the billing department and ask for a supervisor. Reference the specific codes. Hospitals resolve disputes all the time when patients show up prepared.
Pro tip: Counterforce Health (counterforcehealth.org) is a free AI tool built specifically for insurance denial appeals. Worth bookmarking.
It’s time to give your medical bills a thorough examination. The AI will see you now.
Real talk. Everybody’s talking about AI. Nobody’s showing you what to actually DO with it. My new free newsletter, Splash of AI (SplashofAI.com), gives you one trick, one tool and one “wait, I can do THAT?” moment every single week. Five minutes. Plain English. The kind of stuff that saves you time, money or both. You’ll wonder how you got by without it.
Send this to someone who is staring at a medical bill they can’t make sense of. Forward this right now. Seriously. This could save them hundreds or even thousands of dollars, and it takes less time than making coffee.
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Technology
Meta’s AI glasses reportedly send sensitive footage to human reviewers in Kenya
Meta’s AI-powered smart glasses could be sending sensitive footage to human reviewers in Nairobi, Kenya, according to an investigation by the Swedish outlets Svenska Dagbladet and Göteborgs-Posten. The report, which was published last week, claims Meta contractors in Kenya have seen videos captured with the smart glasses that show “bathroom visits, sex and other intimate moments.”
So far, at least one proposed class action lawsuit accusing Meta of violating false advertising and privacy laws has emerged in response to Svenska Dagbladet’s reporting, citing the company’s claim that its smart glasses are designed for privacy:
By affirmatively claiming that the Glasses were designed to protect privacy, Meta assumed a duty to disclose material facts that would inform a reasonable consumer’s decision to purchase the product. Instead, Meta hid the alarming reality: that use of the AI features results in a stranger halfway around the world watching the most private moments of a person’s life.
The Nairobi-based contractors interviewed by Svenska Dagbladet are AI annotators, meaning they label images, text, or audio, with the goal of helping AI systems make sense of the data they’re training on. “We see everything — from living rooms to naked bodies,” one worker says, according to Svenska Dagbladet. “Meta has that type of content in its databases.”
A former Meta employee reportedly tells Svenska Dagbladet that faces in annotation data are blurred automatically, though workers in Kenya say this “does not always work as intended,” and some faces are still visible. Another person reportedly tells the outlet that a wearer’s bank cards are sometimes seen in the footage they review as well.
Meta’s Ray-Ban and Oakley smart glasses come with a built-in AI assistant capable of answering questions about what a user can see. The glasses have soared in popularity in recent years, despite growing concerns over privacy and surveillance.
EssilorLuxottica, the eyewear giant that Meta works with to develop the camera-equipped glasses, sold over 7 million of the AI-powered glasses in 2025 — more than tripling its sales in 2023 and 2024 combined. Last year, Meta made some changes to its privacy policy that keep Meta AI with camera use enabled on your glasses “unless you turn off ‘Hey Meta.’” It also stopped allowing wearers to opt out of storing their voice recordings in the cloud.
As reported by Svenska Dagbladet, the Kenya-based AI reviewers work with transcriptions as well, ensuring Meta AI provides the correct answer to the questions users ask aloud. In a statement to The Verge, Meta spokesperson Tracy Clayton says media captured by its smart glasses “stays on the user’s device” unless they choose to share it with other people or Meta.
“When people share content with Meta AI, we sometimes use contractors to review this data for the purpose of improving people’s experience, as many other companies do,” Clayton says. “We take steps to filter this data to protect people’s privacy and to help prevent identifying information from being reviewed.”
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