Real Vs Fake Tech

13/03/2026

One of the things that makes doing this work at OpenAI different is that the technology we’re building can also be part of the solution. Every month, millions of people already use ChatGPT to help identify and avoid scams. Today, we’re building on that by supporting the Global Anti-Scam Alliance (GASA) to launch www.scam.org.

Powered by OpenAI models and built with partners across cybersecurity, consumer protection, and victim support, scam.org is a new global platform to help everyday people spot scams, report fraud, and find support.

This new platform allows people to:
▪️ Check suspicious messages, websites, or calls in real time
▪️ Learn how to recognize and avoid scams
▪️ Report fraud more easily
▪️ Connect with trusted support organizations in their country and language

Even in early testing, we’ve seen it in action. A colleague’s relative used the platform to check a suspicious website, confirm it was a scam, and avoid losing money to a fraudulent transaction.

This is exactly the kind of real-world problem AI should be used to solve. Congrats to Jorij Abraham and the team at GASA on the launch.

Learn more: https://lnkd.in/d3jUuDDA

This link will take you to a page that’s not on LinkedIn

26/02/2026

Here's something that'll blow your mind: AI is now crushing humans at spotting fake faces in photos—we're talking 97% accuracy. But flip it to videos? Humans win. 🤔

A new University of Florida study just revealed the plot twist nobody saw coming. While AI algorithms struggle to catch deepfake videos at better-than-chance levels, people can spot them about two-thirds of the time. Why? Humans pick up on the subtle stuff—weird facial expressions, unnatural movement, timing that's just off.

Here's what this means for you: For static images, you can trust automated detection tools. But when it comes to video content? Keep your human instincts sharp. The deepfake tech keeps getting better, and we need to stay vigilant.

The real question is—how do you think this changes the game for content verification going forward? What's your take?

As deepfakes continue to improve and spread widely online, distinguishing real from AI imagery becomes more important.

25/02/2026

Microsoft just dropped a game-changing blueprint for stopping AI deepfakes and detecting fake content online. Here's what you need to know:

They tested 60 different verification methods - think watermarking, digital fingerprinting, and provenance tracking. It's basically like authenticating a Rembrandt painting, but for your social media feed.

The catch? Microsoft's recommending these standards to other AI companies and platforms, but hasn't committed to actually using them on their own platforms like Copilot, Azure, and LinkedIn. Classic move, right?

Here's the real talk: these tools can make deception harder, but they can't tell you if something's actually true - only if it's been manipulated. And even when content is properly labeled as AI-generated, people still believe the false stuff anyway.

So we're getting better at spotting the fakes, but the bigger challenge? Getting people to actually care.

What's your biggest concern with AI-generated content right now? Is it deepfakes, misinformation, or something else entirely?

25/02/2026

Educators and writers just got a powerful new weapon against AI-generated content. Detector.io just launched a free browser-based tool that can spot machine-written text with surprising accuracy.

Here's what makes it different:

Sentence-level detection. Instead of just giving you a yes/no verdict, it highlights exactly which passages triggered detection signals. You get to see the reasoning behind the score, not just a black box result.

No account needed for quick checks. You can scan up to 3,000 words without signing up. Perfect for teachers grading papers or editors reviewing submissions on the fly.

It catches the patterns AI leaves behind. The tool looks for predictability, repetition, sentence structure, and distribution—the telltale signs of machine-generated writing that humans often miss.

But here's the honest part: it's not perfect. Formal academic writing, heavily edited content, and mixed human-and-machine text can throw it off. It's a tool to help human judgment, not replace it.

This is a big deal for academic integrity and editorial quality control. As AI writing tools get better, so do the detectors.

Read more: https://finance.yahoo.com/news/detector-io-launches-browser-based-152500643.html

What's your biggest concern when it comes to AI-generated content in your field? 🔍

Dover, Delaware--(Newsfile Corp. - February 18, 2026) - Detector.io today announced the launch of a browser-based AI detector designed to support educators, editors, and writers as generative AI becomes increasingly present in academic and professional writing. The announcement follows growing evide...

24/02/2026

60+ global regulators just dropped a bombshell on AI companies and it's a game-changer for how we think about AI-generated content.

Here's what's happening: Privacy watchdogs from the UK, Ireland, and over 60 other countries are demanding that AI image and video tools comply with data protection laws. No exceptions. No loopholes.

Why this matters:
- Non-consensual intimate imagery and deepfakes are being weaponized
- Vulnerable groups like children are being targeted
- Companies can't hide behind "it's AI-generated" anymore
- Safeguards need to be built in from day one, not added later

This follows investigations into xAI's Grok chatbot producing sexual images without consent. The message is crystal clear: if you're building AI tools, data protection isn't optional—it's mandatory.

The real question here is: as AI gets more powerful, how do we balance innovation with protecting people from harm? What's your take on this?

https://www.theregister.com/2026/02/23/privacy_watchdogs_ai_images/

21/02/2026

Deepfakes are flooding your feed right now—and they're designed to fool you.

With the 2026 election heating up, AI-generated political videos are going viral. We're talking candidates dancing together who've never met, saying things they never said. It's getting harder to tell what's real.

Here's how to protect yourself before you hit share:

1. Check the source. Is it coming from a credible outlet or a random account?
2. Look closely at the details. Unnatural eyes, weird fingers, glitchy movements? Red flags.
3. Use reverse image search. Google Lens and similar tools can help verify if something's authentic.
4. Recognize rage bait. If it triggers a strong emotional reaction, pause and verify before sharing.
5. Use free AI detection tools like Hive Moderation, AI or Not, or Image Whisperer.

The bottom line: use common sense and verify before you share anything that makes you angry or shocked.

What's the most obvious deepfake you've spotted lately? Have you caught yourself almost sharing something that turned out to be fake?

Fake AI-generated political videos are flooding social media. Learn how to spot them before you share, including how to use reverse image search to verify content.

13/02/2026

Hackers are using AI to commit crimes at scale—and it's getting worse.

Here's what's actually happening right now:

Generative AI is making sophisticated attacks cheaper and easier to pull off. We're talking deepfakes for fraud, automated phishing campaigns, and ransomware that can map your systems and write personalized ransom notes on its own.

The scary part? It's not about some distant future of fully autonomous AI cyberattacks. The real threat happening today is way more practical: criminals are using AI to target way more people with scams and fraud than ever before.

Security researchers just discovered PromptLock—an AI-powered ransomware that operates autonomously. It's a wake-up call that the barrier to entry for cybercrime just got a whole lot lower.

So here's the question: Are you and your organization actually prepared for this? What's your biggest concern when it comes to AI-powered threats?

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be happening.

13/02/2026

Deepfakes are getting scary good at fooling us. But here's the plot twist: the tech to catch them is getting just as sharp.

At The Hindu Tech Summit 2026, cybersecurity experts revealed what's actually working to stop AI-generated fakes:

- Multi-factor authentication is becoming the new standard
- Analyzing multiple signals instead of trusting a single image or video
- Building solid internal defense systems
- Educating users to question unknown sources
- Deploying multiple authentication algorithms for transactions
- Human oversight and continuous monitoring (AI can't do it alone)

The real talk? This isn't a one-and-done fix. It's an ongoing arms race between deepfake creators and defenders. But the good news is that companies and banks are finally taking it seriously and building real resilience.

Here's what I want to know: Have you encountered anything online that made you go 'wait, is this real?' How do you decide what to trust anymore?

https://www.thehindu.com/sci-tech/technology/deepfake-threat-grows-but-technology-solutions-are-catching-up-say-experts/article70624135.ece

13/02/2026

Your voice could be stolen right now—and you wouldn't even know it. 🚨

Massachusetts tech companies are building the defense shield we desperately need. Companies like Reality Defender, Modulate AI, and Resemble AI are leading the charge against deepfakes and synthetic voice fraud.

Here's what's actually happening:

Banks and call centers are getting hit with AI-generated voice impersonations. Scammers are cloning voices to commit fraud. Politicians are using fake audio in campaign ads (yes, this already happened in Massachusetts).

But here's the good news—these companies are fighting back with detection tech that can spot synthetic voices and fake video in real-time. They're analyzing voice patterns, detecting AI-generated audio, and helping institutions identify when someone's trying to pull off a scam.

The real question? How long before this tech becomes standard everywhere?

Read more: https://www.wbur.org/upnext/2026/02/12/ai-regulation-tech-companies-deepfakes-massachusetts

What concerns you more—deepfakes in politics or voice fraud in banking? Drop your thoughts below 👇

11/02/2026

🚨 Deepfake scams just went from basement hackers to Fortune 500 operations—and you're the target.

A new study reveals something terrifying: AI scammers are now operating at "industrial scale." We're not talking about obvious fake videos anymore. These fraudsters are creating personalized, targeted attacks using cheap, widely available AI tools.

The damage is real:
✅ A Singapore finance officer lost nearly $500,000 during a fake video call with "company leadership"
✅ UK consumers lost £9.4 billion to fraud in just nine months
✅ Scammers are creating fake government officials promoting investment schemes
✅ Fake doctors are selling products using deepfake technology

Here's what's scary: the barrier to entry has disappeared. Pretty much anyone can create convincing deepfakes now. The tools are cheap, accessible, and getting better every day.

This isn't some distant threat—it's happening right now. These scammers are targeting everyone from CEOs to everyday consumers, and they're getting sophisticated fast.

Source: https://www.theguardian.com/technology/2026/feb/06/deepfake-taking-place-on-an-industrial-scale-study-finds

Have you encountered any suspicious video calls or content lately? What red flags should we all be watching for? 👇

10/02/2026

🚨 The UK just launched the world's FIRST deepfake detection framework—and it's about time.

Here's why this matters: Deepfakes exploded from 500,000 shared videos in 2023 to a projected 8 MILLION in 2025. That's not just numbers—that's real people getting scammed, impersonated, and worse.

What makes this framework different?

✅ It's testing detection tech against REAL threats—fraud, sexual abuse, impersonation
✅ Built with Microsoft and top academics (not just government bureaucrats)
✅ Focuses on closing loopholes criminals actually exploit

The scary part? Most people still can't tell a deepfake from reality. This tech could be the difference between falling for a scam and staying protected.

Minister Jess Phillips called it addressing an "injustice affecting millions." She's not wrong.

The question isn't IF deepfakes will affect you—it's WHEN. At least now we're fighting back with real solutions.

Have you ever encountered content that made you question if it was real or AI-generated? 🤔

Deepfakes are AI-generated fake images, videos and audio, designed to deceive, whether with the aim of stealing money by impersonating celebrities or family mem

09/02/2026

🚨 BREAKING: Fake AI doctors are flooding TikTok and Instagram right now—and they look terrifyingly real.

A CBS investigation just uncovered over 100 deepfake videos impersonating actual doctors to sell bogus health products. We're talking about AI-generated fakes claiming their miracle pills work better than Ozempic, using real doctors' faces and voices without permission.

Here's what's scary: These aren't amateur fakes anymore. For just $11 a month, scammers can create doctor deepfakes so convincing they're fooling millions of people seeking health advice.

The real Dr. Joel Bervell? He's been cloned dozens of times without his knowledge. His AI twin is out there selling weight loss scams while he's trying to provide legitimate medical education.

How to spot the fakes:
• Check if the doctor's lips sync perfectly (deepfakes often have slight delays)
• Look for unnatural eye movements or blinking patterns
• Verify the doctor exists—search their name on legitimate medical sites
• Be suspicious of any doctor selling miracle products in social media ads

TikTok says they're removing 94% of violating AI content, but new fakes pop up faster than platforms can catch them.

This isn't just about fake videos anymore. It's about trust. When AI can perfectly mimic the people we rely on for life-or-death advice, how do we know what's real?

Have you seen any suspicious doctor videos on your feed lately? What red flags made you question if they were real?

An investigation by CBS News has revealed over 100 AI-generated deepfake videos on TikTok and Instagram featuring fake doctors, including impersonations of real physicians such as Dr. Joel Bervell, promoting scam wellness and weight loss products with claims of outperforming medications like Ozempic...