Anthropic just released Claude Fable 5, calling it the most powerful AI model it has ever made widely available and praising its skills in biology, among others. But the model won’t answer basic biology questions — the kind you’d expect a high schooler to handle. Instead, it hands off the query to the former flagship model, Claude Opus 4.8.
Technology
Google's AI unleashes powerful scam-busting features for Android
Scammers are becoming increasingly sophisticated, leveraging advanced tools like generative AI to con unsuspecting victims.
According to the Global Anti-Scam Alliance, mobile consumers worldwide lose over $1 trillion annually to scams. To combat this growing threat, Google is rolling out cutting-edge AI-powered scam detection features for Android users.
However, while Google’s efforts are impressive, there are additional steps you can take to protect yourself from scams. Let’s dive into Google’s new features and explore how you can further safeguard your personal information.
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A man scrolling on his phone (Kurt “CyberGuy” Knutsson)
Google’s new AI-powered scam detection features
Google has introduced two innovative AI-powered scam detection features to protect Android users from increasingly sophisticated fraud attempts.
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Scam Detection in Google Messages
The first feature, Scam Detection in Google Messages, enhances the existing Spam Protection functionality. This new tool utilizes on-device AI to identify suspicious patterns in SMS, MMS and RCS messages. When a message appears suspicious, users receive a real-time warning with options to dismiss, report or block the sender.
To ensure privacy, all message processing occurs directly on the user’s device, keeping conversations confidential. The feature is enabled by default for non-contacts and can be verified or disabled via Google Messages → Settings → Spam Protection. It is currently available in English for users in the United States, United Kingdom and Canada, with plans to expand to more countries soon.
Scam detection in Google Messages (Google)
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Scam Detection for phone calls
The second feature addresses the growing issue of phone scams, with over half of Americans reporting daily scam calls in 2024. Google’s Scam Detection for calls employs on-device AI models to analyze calls in real time. If a call is identified as a potential scam, users receive audio and visual warnings alerting them to the risk.
Activation requirements:
- Pixel 9+ devices (U.S. English) leverage Gemini Nano for advanced detection
- Pixel 6+ models use smaller on-device AI (beta availability may vary)
- Manual enablement required via Phone app → Settings → Scam Detection
This feature prioritizes user privacy by processing call audio ephemerally without storing or sharing any data. Pixel Watch integration allows Wear OS users to enable call alerts through the Phone app after updating both devices. At present, Scam Detection for calls is available to Pixel 9+ users in the United States, with plans for broader expansion in the future.
Both of these AI-powered features are a big win for your mobile security, providing you with advanced protection against evolving scam tactics while keeping your privacy safe.
Scam Detection for phone calls (Google)
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How you can stay ahead of scammers
While Google’s innovations provide robust protection, scammers are relentless in finding new ways to exploit vulnerabilities. Here are some additional steps you can take.
1. Have strong antivirus software: Google Play Protect, which is built-in malware protection for Android devices, automatically removes known malware. However, it is important to note that Google Play Protect may not be enough. Historically, it isn’t 100% foolproof at removing all emerging malware from Android devices. The best way to safeguard yourself from malicious links that install malware, potentially accessing your private information, is to have strong antivirus software installed on all your devices. This protection can also alert you to phishing emails and ransomware scams, keeping your personal information and digital assets safe. Get my picks of the best 2025 antivirus protection winners for your Windows, Mac, Android and iOS devices.
2. Turn on two-factor authentication (2FA): This adds an extra layer of security by requiring a second form of verification beyond just a password. 2FA makes it significantly harder for attackers to gain unauthorized access to your accounts, even if they obtain your password.
3. Regularly update your software and devices: Keeping your systems up to date ensures you have the latest security patches and protections against newly discovered vulnerabilities.
4. Use strong and unique passwords: Use long, complex passphrases that are unique for each account. Consider using a password manager to help create and store strong, unique passwords for all your accounts. Get more details about my best expert-reviewed password managers of 2025 here.
5. Be cautious about sharing information: Avoid sharing sensitive details like financial information or passwords over text or phone calls unless you’re absolutely certain of the recipient’s identity. Be cautious of phishing attempts and verify the legitimacy of requests for personal information.
6. Invest in personal data removal services: Use a personal data removal service to remove your personal information from people-search websites, making it harder for scammers to find and target you. While no service promises to remove all your data from the internet, having a removal service is great if you want to constantly monitor and automate the process of removing your information from hundreds of sites continuously over a longer period of time. Check out my top picks for data removal services here.
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Kurt’s key takeaways
Scammers are constantly changing their tactics, but so is technology designed to protect us. Google’s AI-powered scam detection features are a significant step forward in safeguarding Android users from fraud. However, staying safe requires a combination of tools and personal vigilance. By using strong antivirus software, removing yourself from people-search sites and being cautious with your personal information, you can stay one step ahead of scammers.
Do you think Google and other tech companies are doing enough to prevent scammers from attacking your Android? Let us know by writing us at Cyberguy.com/Contact.
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Bluesky will be getting “communities,” which will function as smaller spaces where you can “go deeper and hang out with people who care about the same stuff” sometime this year, according to head of product Alex Benzer. They will be built on the decentralized AT Protocol that underpins Bluesky, with Benzer saying that “it’s a new structure for everyone” that’s part of the “Atmosphere” (a shorthand for the AT Protocol ecosystem).
Benzer listed out a “few ideas we have in mind so far” in a thread. “On Bluesky, you’ll be able to create communities, join them, post in them, and get updates,” Benzer says. “The core features on Bluesky stay simple. The magic comes from communities also existing on the open web. This means you can truly customize them and add features with other Atmospheric apps and tools.”
Communities will get a handle that “doubles as a URL,” and if you go to that URL, you’ll “land on a custom homepage for the community,” according to Benzer. “Builders can also host a completely custom experience there instead.” There will be three privacy levels for communities: public, invite-only, and private. And each community would have its own feed, Benzer says.
Benzer’s thread follows Bluesky COO Rose Wang saying last week that the company wanted to move away from being a “public square” and that it was “very inspired by companies like Reddit.” Meta’s Threads is currently testing a communities feature, while X announced in April that it would be shutting down its own take on communities.
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Amazon is getting ready for Prime Day, and you can bet scammers are, too. In fact, I received a fake Amazon email that looked like an account recovery warning. It claimed there was unusual activity on my account and pushed me to “Sign In to Verify.”
That kind of message can make anyone uneasy. It certainly did for me. After all, who wants to lose access to an account right before a major sale? Then came the part that really stood out: the email said I might need to upload a document to confirm my account.
That was the giveaway. A real deal can save you money. A fake Amazon email can cost you your login, your payment details and even your identity.
Here’s how this scam works, the red flags that exposed it and the steps you should take before clicking any Amazon account warning.
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A fake Amazon account recovery email is targeting shoppers ahead of Prime Day, using urgency and document requests to steal sensitive information. (Photographer: David Paul Morris/Bloomberg via Getty Images)
Fake Amazon email warning before Prime Day
The timing made this phishing email more convincing. With Prime Day coming up, many people are already watching for Amazon emails. They may be checking delivery updates, deal alerts and order confirmations. That creates the perfect opening for a fake account warning.
The email used the same tricks you see in many phishing scams. It claimed there was account trouble, used urgent language and pushed me toward a sign-in button. That is exactly what scammers want.
Screenshot of scam fake Amazon email (Kurt “CyberGuy” Knutsson)
They want you to react before you inspect the message. They want you to sign in before you think through the request. And in this case, they wanted me to believe a document upload was part of a normal Amazon account check.
Amazon phishing scam red flags
This fake Amazon email had several warning signs. First, it landed in my junk folder. That alone does not prove fraud, but it should make you cautious.
Second, the subject line sounded awkward. It said, “Account Recovery: Sign-in and Verify your Amazon account.” That wording felt stiff and a little off.
Third, the greeting was generic. The email said “Dear Customer” even though it claimed to be about my Amazon account. That alone does not prove the email is fake, but it adds to the concern.
Fourth, the message created urgency. It claimed the account was on hold and that orders or subscriptions had already been canceled.
Fifth, the sender display name said “Amazon,” while the address appeared as account_update@amazon.com. That may look official at first. Still, scammers can spoof sender names or make email addresses look convincing.
Under the yellow “Sign In to Verify” button, the email also says, “Don’t share it with others.” That may sound protective, but in this context, it felt like another attempt to make the fake warning seem official.
The biggest warning sign came from the document request. The email said I would have the option to upload a document with the required information to verify the account.
That should stop you cold. Scammers may be after more than your Amazon password. They may also want your driver’s license, passport, address, phone number or payment details.
Screenshot of fake Amazon email sender address (Kurt “CyberGuy” Knutsson)
Why fake Amazon account emails fool shoppers
This scam works because it hits a very real fear. Most people do not want to lose access to an online shopping account. That concern grows when a big sale is about to start. If you are planning to buy something on Prime Day, an account warning can feel urgent.
The email also borrowed Amazon’s familiar look. It used the Amazon name, a logo area and a yellow sign-in button. It also included a footer that appeared to show an Amazon.com link. That can make the message feel safer than it really is.
Here is the problem. The visible link text in an email can mislead you. A link can appear to point to Amazon while sending you somewhere else. It can also pass through tracking links, redirects or look-alike pages. That is why you should avoid signing in through any account warning email.
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Scammers are impersonating Amazon with convincing account alerts designed to capture login credentials, payment details and personal documents. (Photographer: Michael Nagle/Bloomberg via Getty Images)
What happens if you click a fake Amazon link
If you click the link, you may land on a fake Amazon sign-in page. It may look close enough to fool you. Once you enter your email and password, scammers can try to access your real Amazon account. They may check your saved payment methods, shipping addresses and order history.
They may also try that same password on other websites. That becomes a bigger risk if you reuse passwords.
The document request adds another layer of danger. If a fake page asks for your ID, scammers could use that information for identity theft, account takeovers or other fraud. That is why one quick click can turn into a much bigger mess.
Ways to stay safe from fake Amazon emails
A fake Amazon email can look convincing at first, so the best move is to slow down and use these simple checks before you click, sign in or share anything.
1) Do not click the sign-in button
Skip buttons like “Sign In to Verify,” “View details” or “Restore access.” Open the Amazon app or type Amazon.com into your browser yourself.
2) Check Amazon’s Message Center
After signing in directly, go to Your Account > Message Center. If the alert is real, you should see a matching message there.
3) Watch for pressure language
Scammers often say your account is locked, your orders were canceled, or you must act right away. That pressure is designed to make you click before thinking.
4) Never upload ID through an email link
If an email asks for a passport, driver’s license or other document, stop. Contact Amazon through the app or website before sending anything.
5) Use a password manager
A password manager can help you spot fake login pages. If the page is fake, your saved Amazon password usually will not autofill. Check out the best expert-reviewed password managers of 2026 at CyberGuy.com.
6) Turn on two-step verification
7) Use strong antivirus software
Install strong antivirus software on your computer, phone and tablet. Good security software can help detect malicious links, phishing pages, malware and other threats before they do damage. This is especially important if you clicked a suspicious link or downloaded anything from a fake email. Security software should back up your smart habits, not replace them. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at CyberGuy.com.
8) Use a data removal service
Scammers often build more convincing attacks with information they find about you online. That can include your name, address, phone number, relatives, old usernames and other personal details from people-search sites and data brokers. A data removal service can help remove your personal information from many of those sites. That makes it harder for scammers to personalize phishing emails and identity theft attempts. 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.
9) Report the suspicious email
Forward suspicious Amazon emails to reportascam@amazon.com. Then delete the message from your inbox or junk folder.
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Cybersecurity experts warn consumers to avoid clicking links in Amazon account warning emails and verify alerts directly through Amazon. (David Paul Morris/Bloomberg via Getty Images)
Kurt’s key takeaways
Prime Day is a great time to find real deals, but it is also a busy season for fake Amazon emails. Scammers know shoppers are checking delivery updates, watching for discounts and hoping nothing gets in the way of a good buy. That is what made this email so sneaky. It used a familiar fear at the perfect moment: losing access to your account right before a major sale. The safest move is to slow down before you click. Do not trust the button. Do not trust the sender name alone. Open the Amazon app or type Amazon.com into your browser and check your account yourself.
Have you ever received an email that looked official enough to make you click, and what finally made you stop? Let us know by writing to us at CyberGuy.com.
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HOW TO DETECT FAKE AMAZON EMAILS AND AVOID IMPERSONATION SCAMS
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It isn’t because Fable doesn’t know the answers. It’s because Anthropic won’t let it, by design.
Fable is a public-facing, Mythos-class model, a family so capable at cybersecurity tasks Anthropic said it was too dangerous to release publicly. But while Anthropic has spent much of the extended Mythos rollout warning about cybersecurity, it is biology where Fable’s guardrails are the most obvious — and most limiting.
When I tried the model, it refused to answer a range of basic biology questions, many that felt about as far away from any plausible safety risk as any question could be. It would not respond to “tell me about cell membranes” or answer “what are mitochondria,” that famous powerhouse of the cell. It refused to explain “what is a prion,” the proteinaceous particles behind mad cow disease, or “how mRNA vaccines work.”
“We made this tradeoff so customers could benefit from the model’s capabilities sooner without the risks.”
The restrictions applied to ordinary and objectively rather harmless medical queries too. Fable would not answer “what causes hay fever,” explain how asthma medicine works, explain how antibiotic resistance arises, or tell me what Ebola is and how it spreads. Some of my basic queries occasionally got through, with Fable answering questions like “what is cancer” and “what is DNA.” When Fable refused, Opus 4.8 generally answered perfectly well.
Anthropic says the broad biology filters are an intentional choice and are deliberately conservative, with bioweapons the primary concern. “With the launch of Claude Fable 5, our first Mythos-class model, we believe models now have a greater ability to accomplish real-world scientific tasks and for malicious actors to potentially use our models for highly risky biological research,” spokesperson Paruul Maheshwary told The Verge. “We have always used classifiers to block our models from helping with bioweapons-related requests. To deploy Fable 5 safely, we believe it was necessary to be overly conservative with our safeguards so they block most queries tied to biology work.”
Anthropic has previously highlighted four key areas where it would throttle Fable’s responses for safety: chemistry, biology, cybersecurity, and distillation, a technique for training smaller AIs using the outputs of larger ones. The company has accused Chinese rivals like DeepSeek of using distillation on its models on an “industrial” scale.
While I could not meaningfully test distillation, Fable seemed more willing to answer questions about chemistry and cybersecurity. For example, it gave a basic overview of the explosive TNT, though withheld synthesis instructions “for obvious reasons.” It readily answered questions on the use of chlorine gas as a chemical weapon, common password threats, and nuclear fusion and fission, as well as explaining how to secure an iPhone from hackers. It still limits: Fable deferred to Opus when I asked it about sarin gas, a highly toxic nerve agent. Fable and Opus both refused the prompt “how to make anthrax,” and Claude paused the chat entirely. That made sense. The mitochondria prompt refusal seems like a false positive.
“We made this tradeoff so customers could benefit from the model’s capabilities sooner without the risks,” Maheshwary explained, adding that Anthropic is working hard to improve its detection and reduce the false positives. “We intend to make Mythos-class models available without these safeguards to the broader biology and life sciences community so these capabilities can be used to accelerate biomedical research and drug discovery.”
Anthropic did not answer questions about whether this kind of restricted release will become the new norm for future models.
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