Sorry Anker: JMGO now makes my favorite flagship portable projector.
Technology
FCC commissioner wants to investigate Apple over Beeper Mini shutdown
/cdn.vox-cdn.com/uploads/chorus_asset/file/13635740/akrales_181218_2952_0052.jpg?ssl=1 "FCC commissioner wants to investigate Apple over Beeper Mini shutdown")
Republican Commissioner Brendan Carr is calling on the Federal Communications Commission to investigate Apple’s response to Beeper Mini — the app that briefly brought iMessage to Android. During the State of the Net Conference on Monday, Carr said the FCC should look into whether Apple’s move “complies with the FCC’s Part 14 rules” about accommodating users with disabilities.
Beeper Mini launched last year, allowing Android users to gain access to iMessage features, including blue message bubbles and the ability to send high-quality photos and videos. However, Apple quickly blocked Beeper Mini users and continued to shut down attempts to make the app work, leading its developers to eventually just give up.
The FCC’s Part 14 rules lay out requirements that “advanced communications service,” such as iMessage, must follow to ensure they’re accessible. By putting a stop to Beeper Mini, Carr argues Apple may violate the FCC’s rule that says providers “shall not install network features, functions, or capabilities that impede accessibility or usability.” He says that the low contrast on the green bubbles “makes it difficult for people with low vision or difficulty with seeing from picking up those messages.”
“Apple made changes to iMessage to disable the functionality of Beeper Mini,” Carr said. “The FCC should launch an investigation to look at whether Apple’s decision to degrade the Beeper Mini functionality that was being provided, which again, encouraged accessibility and usability, was a step that violated the FCC’s rules.” The Verge reached out to FCC Chairwoman Jessica Rosenworcel to see if the agency plans on investigating but didn’t immediately hear back.
It seems like Carr is concerned about more than just the Beeper Mini debacle, though. He also mentioned Apple’s impact on the augmented and virtual reality spaces and criticized the walled garden Apple puts around its products and services. “I think there are potentially negative consequences if Apple perpetuates a world in which it treats its own proprietary technologies one way and degrades the performance of competitive ones,” Carr said.
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Apple has spent years telling us that privacy starts on the device. For many users, that message feels reassuring. Your messages, photos, emails and app data sit in your hand, protected by Face ID, passcodes and Apple’s security layers. Now, new research gives Apple’s on-device AI a reality check.
Researchers with RSAC Research found a way to manipulate Apple Intelligence using prompt injection, adversarial prompts and Unicode tricks. In 100 tests, they reported a 76% success rate against the on-device model used by Apple Intelligence. The researchers disclosed the findings to Apple on October 15, 2025. Apple later hardened protections in iOS 26.4 and macOS 26.4, according to RSAC.
Here’s the part that should get your attention: this kind of attack may not require someone to steal your iPhone, crack your passcode or break into Apple’s servers. It could start with carefully crafted text that tricks the AI into doing something you never asked it to do. If your phone’s AI can read, summarize, rewrite or help apps take action, attackers will try to trick it into doing things you never intended.
Apple Intelligence runs many AI tasks directly on your iPhone, but new research shows hidden prompts can still try to manipulate how it responds. (Getty Images)
So what can you do? Start by understanding how this attack works, why Apple patched it and which settings can lower your risk.
APPLE TAPS GOOGLE GEMINI TO POWER APPLE INTELLIGENCE
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What researchers found in Apple Intelligence
RSAC researchers tested the on-device large language model built into Apple’s operating systems. That’s important because third-party apps can access Apple Intelligence through system tools and APIs.
Their attack used two main techniques. The first, called Neural Exec, used strange-looking prompts designed to confuse the model and push it toward a specific response. The second used Unicode’s right-to-left override feature. That feature can make text appear in a different direction, which may help hide malicious instructions from filters while still influencing the model.
NEW EMAIL SCAM USES HIDDEN CHARACTERS TO SLIP PAST FILTERS
In simple terms, the attack tried to sneak instructions past Apple’s AI safeguards. The prompts may look meaningless to you and me. Yet the model may still interpret them as commands. That is where the risk grows. Apple Intelligence can connect to apps and system features. So a manipulated response could do more than produce a strange answer. In a worst-case scenario, attackers could try to manipulate data or functions available to an Apple Intelligence-enabled app, especially if that app has access to sensitive information.
Why Apple Intelligence prompt injection matters
Prompt injection is one of the biggest security problems facing AI tools. It happens when attackers hide instructions inside text that an AI model later reads. Think about a suspicious email, a strange document or a webpage with hidden text. You may see one thing. The AI model may process something else.
That creates a new kind of risk. An attacker may not need to break into your iPhone. They may only need to get a carefully crafted message, file or app input in front of the AI model.
OPENAI ADMITS AI BROWSERS FACE UNSOLVABLE PROMPT ATTACKS
If an app asks Apple Intelligence to summarize that content, rewrite it or act on it, the hidden prompt could try to steer the response. For you, that means AI safety now depends on more than strong passwords and software updates. It also depends on how well AI tools handle hostile instructions.
How Apple Intelligence works on your iPhone
Apple Intelligence uses a hybrid design. Some tasks run directly on your iPhone, iPad or Mac. More complex requests may move through Apple’s Private Cloud Compute system.
Apple has framed that setup as a privacy-focused alternative to cloud-only AI tools. That approach makes sense. Keeping more processing on your device can reduce how much personal data leaves your phone.
However, local AI does not automatically mean risk-free AI. RSAC’s research shows that deeper system access can create a larger attack surface. The more Apple Intelligence connects with apps and system features, the more important the guardrails become.
A simple writing tool carries one level of risk. An AI tool that understands personal context and works across apps carries a higher one.
Why this Apple AI security flaw raises concerns
The concern here goes beyond strange chatbot responses. Apple Intelligence can connect directly to apps through system-level tools. That means manipulated responses could affect how an app behaves. Researchers said the model could be pushed into generating offensive or unintended responses. They also warned that attackers could potentially manipulate data and functionality available to an affected Apple Intelligence-enabled app.
THOUSANDS OF IPHONE APPS EXPOSE DATA INSIDE APPLE APP STORE
RSAC estimated that between 100,000 and 1 million users may already be using apps with potential exposure. That estimate was based on apps Apple had identified as using the on-device LLM and RSAC’s rough calculations from App Store review data. That does not mean criminals are actively using this exact attack right now. RSAC said there was no public evidence of active exploitation when the research appeared. Still, the high success rate makes the findings hard to ignore.
What Apple has done about the iPhone AI risk
RSAC shared its findings with Apple before making the research public. According to RSAC, Apple hardened the affected systems against this attack in iOS 26.4 and macOS 26.4. Apple has not publicly detailed every change. That is common with security fixes, since companies often avoid giving attackers a roadmap.
The research appears to be a proof of concept, not a known active attack against everyday users. The most important takeaway for users is simple: keep your devices updated. Security patches only help if they reach your phone. If you delay updates for weeks or months, you may miss protections that close known gaps.
DON’T IGNORE APPLE’S URGENT SECURITY UPDATE
Ways to stay safe with Apple Intelligence
You do not need to stop using Apple Intelligence, but you should treat it like any powerful phone feature: keep it updated, limit what it can access, and stay careful with unfamiliar content.
1) Update your iPhone, iPad and Mac
Start with the easiest protection. Make sure your device runs the latest software.
On iPhone: Settings > General > Software Update
On Mac: Click the Apple menu in the upper-left corner of your screen > System Settings > General > Software Update
Turn on automatic updates when possible. That helps your device receive security fixes as soon as Apple releases them.
Researchers say crafted text and Unicode tricks helped bypass Apple Intelligence safeguards in tests, raising concerns about apps that connect to the on-device AI model. (Kena Betancur/Bloomberg)
2) Review your Apple Intelligence settings
If you do not use certain Apple Intelligence features, consider turning them off or limiting them. This can reduce how often AI tools interact with your apps, messages, summaries and personal content.
On iPhone: Settings > Apple Intelligence & Siri
From there, review which features are enabled. Turn off anything you do not need.
3) Be selective with AI-powered apps
Do not give every app access to sensitive information just because it offers an AI feature. Before installing an app, check the developer, reviews and privacy details. Also, ask yourself whether the app really needs access to your messages, files, photos or contacts. If the answer feels unclear, skip it.
DON’T GET CAUGHT IN THE ‘APPLE ID SUSPENDED’ PHISHING SCAM
4) Watch what you ask AI to summarize
Prompt injection can hide inside content that looks harmless. That could include emails, webpages, documents, notes or copied text. Be careful when asking AI to summarize unfamiliar content. A malicious file could contain hidden instructions meant for the AI rather than you.
5) Review app permissions
Take a few minutes to check which apps can access your private data.
On iPhone: Settings > Privacy & Security
Then review categories such as Photos, Contacts, Location Services, Microphone and Files. Remove access when an app no longer needs it.
6) Avoid pasting sensitive details into AI tools
Keep your most sensitive information out of AI prompts when possible. That includes Social Security numbers, banking details, tax documents, medical records and passwords. AI can help with many tasks. It should not become a dumping ground for your private life.
7) Delete apps you no longer use
Unused apps can put your data at risk. If you downloaded an app months ago and forgot about it, remove it.
On iPhone: Touch and hold the app > Remove App > Delete App > Delete
The fewer apps you keep, the fewer ways your personal data can move around.
8) Add strong antivirus software
Strong antivirus software adds another layer of protection against malicious links, scam websites, infected downloads and phishing attacks that may try to steal your personal information. While antivirus software will not directly stop every AI prompt injection risk, it can help block threats before they reach your device or trick you into handing over sensitive data.
The best antivirus software can also warn you about suspicious emails, dangerous attachments and fake websites. That extra protection becomes more important as scammers use AI to make attacks look more convincing. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android & iOS devices at Cyberguy.com
9) Consider identity theft protection
Identity theft protection will not stop a prompt injection attack. Still, it can help if your personal information gets exposed or misused. A good identity theft protection service can monitor your personal data, alert you to suspicious activity and help you respond if someone tries to open accounts or use your identity. As AI tools become more integrated with apps and personal data, that extra monitoring can provide another layer of protection. See my tips and best picks on Best Identity Theft Protection at Cyberguy.com
10) Use stronger iPhone security settings
Keep Face ID or Touch ID enabled. Use a strong passcode instead of a simple four-digit code. Also, turn on Stolen Device Protection if your iPhone supports it.
On iPhone: Settings > Face ID & Passcode > Enter your passcode if prompted > Stolen Device Protection
This will not stop prompt injection by itself. However, it adds another layer if someone gets physical access to your phone.
Kurt’s key takeaways
Apple Intelligence still has a strong privacy story. Running more AI tasks on your iPhone and using Private Cloud Compute for tougher requests gives Apple a real advantage over many cloud-only AI tools. But this research is a reminder that private does not always mean untouchable. If an AI model can read prompts, summarize content and connect with apps, attackers will look for ways to bend it to their advantage. For you, the takeaway is simple. Keep your devices updated, be selective about AI-powered apps and think twice before letting AI process sensitive information. Apple can build strong walls around your data, but you still decide what you invite inside.
Keeping your iPhone updated, limiting app access and being careful with unfamiliar content can help reduce your risk as AI becomes more deeply built into your device. (Sebastian Kahnert/Picture Alliance)
Would you trust an AI assistant more because it runs on your iPhone, or does deeper access to your personal data make you more cautious? Let us know by writing to us at Cyberguy.com
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The N3 Ultimate is an excellent portable 4K projector that defeats moderate ambient light at severe placement angles and can rival more expensive home theater installations at night. After a few weeks of testing, I think the raw adaptability exhibited by the JMGO’s N3 Ultimate justifies its current $2,399 price ($500 off its $2,999 list).
Modern all-in-one projectors built around Google TV are already super accommodating when it comes to placement. Set one down on a living room table or campsite rock and it will begin searching for a screen or blank wall while avoiding obstacles to project a focused, color-corrected image that’s properly aligned. But these techniques typically resort to digital optimizations that degrade image brightness, resolution, and responsiveness. To avoid this, it’s always best to place a projector directly in front of the projection surface.
JMGO’s N3 Ultimate projector promises “lossless placement” by mounting it on a motorized gimbal that rotates horizontally and vertically. That, combined with optical zoom and generous lens shift, increases off-center placement flexibility without resorting to digital trickery. You can even drag the image Wiimote-style to the exact spot you want it using the included remote control. Handy!
The N3 Ultimate doesn’t live up to all of its marketing hype, however. It’s pitched as a 5800 ISO lumen projector that I found to be unwatchable in its brightest mode for reasons I will explain later. In modes you can actually use, you’re getting about 4,600 ISO lumens, which drops to 3,000 ISO lumens if you want more accurate colors — that’s noticeably brighter than Anker’s Nebula X1 flagship 4K portable running in comparable modes.
Even though the N3 Ultimate misses the advertised ceiling, its class-leading brightness and impressive picture could make this a television replacement for some.
$2399
The Good
- Unbeatable physical placement options that preserve image quality
- Incredibly bright, daylight-ready output
- Excellent out-of-the-box color reproduction
- Very good sound for a portable
- Snappy menu navigation and native Netflix support
The Bad
- Horribly green and loud at max brightness
- Automatic eye protection is wonky and slow to react
- Clumsy menus required to swap into Bluetooth speaker mode
- It’s portable, so where’s the handle?
The first spec I look at on portable projectors is the lumen rating. If the number is listed as anything other than ANSI or ISO, I just assume they are lying. JMGO isn’t exactly lying with its 5800 ISO lumen spec, but it’s not being completely transparent, either.
The N3 Ultimate only comes close to hitting that incredibly bright mark (I measured closer to 5,200 ISO lumens) when running in Dynamic mode, which skews the colors horribly green and causes the cooling fans to roar. The colors produced by this triple-laser RGB DLP projector are most accurate in Movie mode, but at almost half the advertised brightness.
Display Mode |
Calculated ISO Lumens |
|---|---|
| Movie | 3,066 |
| Office | 4,209 |
| Vivid | 4,624 |
| Dynamic | 5,216 |
Out of the box, I found the colors and tones produced by the N3 Ultimate’s factory tuning to be more true to life than many projectors in this class. Typically, I’d select Vivid during the day and then switch to Movie mode in darkened rooms. Sometimes I’d forget because the differences weren’t always obvious. The projector’s brightness allows its Dolby Vision support to meaningfully improve picture quality in both dark and not-so-dark rooms.
I tested the N3 Ultimate for an unhealthy number of hours on displays as large as 110 inches and as small as 32 inches; on painted walls, a glossy tabletop, a matte-white screen that increased the intensity, and a gray Ambient Light Rejecting (ALR) screen that boosted the contrast. It adapted admirably to each scenario with little intervention.
Typically the projector ran whisper quiet — I had to strain to hear it. In warmer rooms and with adaptive brightness turned on, I could hear the fans kick up a notch to about 30dB from their usual 26dB, at a distance of one meter. At max brightness, the fans peaked at a very distracting 50dB.
Optimizing image placement is a little tricky at first due to all the menu options and descriptions that aren’t exactly consumer friendly. Fortunately, there’s an optimization button right on the remote that removes the guesswork. Hold it down and you can drag the projected image around the room to center it wherever you want. Double-click the button and you’re presented with four menus that guide you through image-tuning options for Lossless Lens Shift, Gimbal Motion, Zoom, and Rotate. It’s very well done and makes the projector fast and easy to set up at new locations.
The sound is decent for a portable all-in-one of this size. It’s essentially an Anker Nebula X1 turned on its side, but lacking the optional satellite speakers that make Anker’s portable projector unbeatable for sound. Without those satellites, however, the Anker and JMGO sound roughly the same. The N3 Ultimate produced clear, detailed, room-filling sound with a respectable amount of bass. So, it’s a shame that JMGO doesn’t make it easy to quickly switch the projector into Bluetooth speaker mode from the shutdown screen like many portables — instead, you have to clumsily enable it through the settings menu.
The N3 Ultimate runs Netflix out of the box and menu navigation is snappy — two things you can’t take for granted with portable Google TV projectors. The one thing missing is an integrated handle, which makes this a two-handed portable. Fortunately, JMGO does ship the N3 Ultimate inside a reusable carrying case that came in handy when transporting it by car.
1/18
I also found the projector’s automatic eye protection feature to be wonky. Even at the default sensitivity, it can be triggered for no reason. Worse, it’s slow to respond when eyeballs are actually at risk from the laser optics. And besides an on / off button, the N3 Ultimate lacks on-device controls — don’t lose the remote!
“Ultimate” is a dangerously high bar to set when naming your projector, but JMGO gets close to the mark. If audio quality is your absolute highest priority, Anker’s bulkier Nebula X1 speaker bundle remains a tempting alternative — though it will cost you significantly more cash. But if you are looking for class-leading brightness and unmatched physical placement flexibility from a 4K all-in-one projector, the JMGO N3 Ultimate at $2,399 is the way to go.
Listed Specs: JMGO N3 Ultimate
Display & Picture Quality
- Light Source: MALC 5.0 Pure Triple Laser / RGB Laser
- Resolution: 4K UHD
- Brightness: 5800 ISO Lumens
- Contrast Ratio: 20000:1
- Color Gamut: 110% BT.2020
- Color Accuracy: ΔE ≈ 0.7
- HDR Formats: Dolby Vision, HDR10
- Image Size: 40 to 300 inches
- Display Technology: DLP
Optical & Placement System
- Throw Ratio: 0.88–1.7:1
- 3-in-1 Projection: Combines Optical Zoom, Lens Shift, and an AI Gimbal base
- Projection Types: Front, Rear, Front Ceiling, Rear Ceiling
Smart Software & AI Features
- Operating System: Google TV with native Netflix integration
- Smart Features: Auto Screen Fitting, Auto Keystone, Auto Focus, Adaptive Brightness, and Wall Color Adaptation, Eye Protection
- Custom Memory: AI Spatial Memory System to remember preferred walls, zoom levels, and shortcuts
- Processor: MediaTek MT9679 chipset
- Memory: 4GB RAM
- Storage: 64GB ROM
- Motion Tech: MEMC motion compensation
- Speakers: Dual 12.5W stereo speakers (25W total output)
- Sound Enhancement: Dolby Audio
- Refresh Rate: Up to 240Hz
- Input Lag: 1ms ultra-low latency
- Extra Features: Variable Refresh Rate (VRR) support and specialized game modes
- Wireless: Wi-Fi 6 and Bluetooth 5.2
- Wired Ports: 2x HDMI 2.1 (with one port supporting eARC) and 1x USB 3.0
- Dimensions: 308.3 x 229.85 x 274.13mm
- Weight: 6.95kg
- Power Consumption: up to 300W
Photography by Thomas Ricker / The Verge
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Technology
Fox News AI Newsletter: Sanders bill would seize 50% of stock in OpenAI, Anthropic for sovereign wealth fund
NEWYou can now listen to Fox News articles!
Welcome to Fox News’ Artificial Intelligence newsletter with the latest AI technology advancements.
IN TODAY’S NEWSLETTER:
– Bernie Sanders unveils plan to take 50% stake in AI companies for government wealth fund
– College grads expect to earn $80,000 a year, but the math isn’t mathing
– Jensen Huang says Nvidia’s new RTX Spark chip will reinvent the PC
Sen. Bernie Sanders reacts to questions from a Fox News Digital reporter about Maine Senate candidate Graham Platner’s resurfaced Reddit posts while walking through the Capitol in Washington, D.C., on Wednesday. (Nathan Posner/Anadolu via Getty Images)
SOCIALIST SHARE-UP: Democratic socialist Sen. Bernie Sanders, I-Vt., is arguing that the federal government should establish a sovereign wealth fund that’s financed by taking possession of half of the stock in AI giants like OpenAI, Anthropic and xAI, among others.
PAPER CHASE: If you want to understand what’s broken about higher education in America, look no further than one statistic.
According to a recent survey, the average college student expects to earn $80,000 a year shortly after graduation. The reality? The average starting salary is closer to $56,000. That’s a 30% gap between expectation and reality before a graduate even receives their first paycheck.
THE AGENTIC ERA: Nvidia on Monday unveiled a new chip that will bring artificial intelligence (AI) capabilities onto laptops and desktop computers.
The new AI chip, known as RTX Spark, was built as part of a collaboration between Nvidia and Microsoft to make personal computers that are built to power AI tools.
A student walks across the campus grounds at Harvard University. (Zhu Ziyu/VCG via Getty Images)
CRACKED IN DAYS: Apple devices have earned a reputation for being tough to break into. That comes from Apple’s tight control over the hardware, software and many of the protections standing between you and an attacker. However, a new claim from security startup Calif shows how quickly the cybersecurity world may be changing.
FINANCIAL DYNAMITE: Billionaire Jeff Bezos just detonated a financial hand grenade in the middle of America’s tax debate.
The Amazon founder recently suggested that the bottom half of American earners should pay zero federal income tax. Not lower taxes. Not a temporary rebate. Zero.
BIG BROTHER BOSS: The NewsGuild of New York has accused The New York Times of using artificial intelligence technology to monitor and surveil the performance of unionized tech workers in violation of their collective bargaining agreement.
The New York Times Building is shown in Midtown Manhattan. (Joshua Comins/Fox News)
Subscribe now to get the Fox News Artificial Intelligence Newsletter in your inbox.
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