Dimitris Drandakis

Deepfake scams are now identity weapons. Read this and harden your defenses now: x.com/DimDrandakis/s… #Deepfakes #CyberSecurity @NostosOnline

@zachxbt This is the playbook now: AI-cloned personas, fake endorsements, and urgency traps that drain victims fast. #AIScams #DeepfakeFraud

6/ Ten X accounts in the cluster all promoted the pump and dump crypto scam $ORAMAMA on February 22, 2026 before never posting about it again. Onchain evidence suggests the scheme profited six figures. I suspect they are farming engagement once again for another upcoming scam.

1/ I uncovered a coordinated network of 10+ accounts manufacturing viral panic about war and politics to drive traffic to crypto scams. Strategy: >Purchase accounts with followers >Doompost multiple times per day >Repost content from alt accounts >Promote fake giveaway or scam >Change username

@BiometricUpdate Deepfakes are now cheap enough to weaponize at scale, so face match alone is dead. Teams need layered verification, rapid takedown workflows, and evidence-grade case handling before impersonation fraud spreads. #Deepfakes #TrustSafety #IdentityProtection

New deepfake tool shows why face alone is no longer proof of identity The tool illustrates a broader weakness in modern financial compliance and digital identity systems #identityverification #KYC biometricupdate.com/202604/new-dee…

Google I/O Didn’t End SEO. The Risk Is Somewhere Else via @sejournal, @MattGSouthern searchenginejournal.com/google-i-o-did…

Q: How are job postings for software engineers rising rapidly despite AI agents automating coding? A: Because there’s far more code to manage than ever before. We’re already seeing a 14x YoY increase in GitHub commits, and it’s accelerating. AI has dramatically lowered the cost of writing code, so it’s now being used across far more businesses, applications, and use cases. We’re at the beginning of a massive productivity boom driven by the proliferation of bespoke software throughout the entire economy. Coding has been AI’s breakout use case this year. The fact that it’s increased demand for software engineers — rather than decreased it — should call into question the entire “AI will cause mass job loss” narrative.

🚨 "AI Agents under EU Law - A Compliance Architecture for AI Providers" is the most comprehensive paper on agentic AI regulation you'll find, and it's our AI Ethics Paper Club's 8th recommended paper. Bookmark it below. Recommended reading for anyone developing or deploying AI (especially agentic AI) and trying to navigate compliance and regulation in the EU. 👉 To receive all my paper recommendations, join the 850+ members of the AI Ethics Paper Club below (it's free).

Deepfakes are no longer just fake videos, they are becoming scam infrastructure. When fraudsters can clone the face and identity of a respected scientist and use dozens of fake profiles to sell fake investments, trust collapses at scale. The next fight against financial crime will be about identity, verification and reputation protection. @NostosOnline

Piracy moves fast, so enforcement has to move faster. Modern stream protection means detecting illegal IPTV and live-stream leaks in minutes, not days, then triggering takedowns before audience and revenue are drained. The goal is simple: continuous monitoring, rapid evidence capture, and automated action at scale. mediastalker.ai #AntiPiracy #ContentProtection #IPTVMonitoring #LiveStreamEnforcement @ai_mediastalker

Learn more about MIT Sloan professor Thomas Malone's proposal for "learnright" laws that would give copyright holders the exclusive right to license their content to AI companies for model training: bit.ly/4u2rfvB

The music AI startup is battling record labels and angry artists as it upends how millions of people create songs. Now, some of its critics are starting to get on board. Full story: forbes.com/sites/rashishr… 📸: Suno, #ForbesAI50

AI is evolving faster than regulation, governance and public understanding — and that raises an important question: when does AI become too dangerous to ignore? ⚠️🤖 From autonomous decision-making and misinformation to cybersecurity threats and the potential loss of human oversight, businesses and governments are now facing difficult conversations around how AI should be managed responsibly. Innovation is moving quickly, but without the right safeguards, transparency and ethical frameworks, the risks could become just as significant as the opportunities. In this insightful article, Bernard Marr explores where the real dangers of AI may emerge, why leaders need to take these concerns seriously now, and how organisations can balance innovation with accountability in an AI-driven future. Read the full article here: bernardmarr.com/when-does-ai-b… #AI #ArtificialIntelligence #AIEthics #CyberSecurity #DigitalTransformation #Innovation #FutureOfWork #Technology

@macleans This is exactly why deepfake abuse can’t stay in a legal gray zone. Scale, anonymity, and weak enforcement turn victims into permanent targets. We need faster takedowns, clearer liability, and cross-platform evidence sharing now. #Deepfakes #OnlineSafety #DigitalRights

A Canadian pharmacist built the world's largest database of deepfake pornography, targeting celebrities, influencers and ordinary citizens. What he did isn't against Canadian law. macleans.ca/longforms/the-…

@MarioNawfal Deepfake romance fraud is no longer edge-case crime; it’s an industrial playbook. It requires a professional response, whether the target is a VIP or an ordinary citizen. #Deepfakes #AIScams #CyberSafety #NostosOnline

🇦🇷 DEEPFAKE OF GEORGE CLOONEY SCAMS ARGENTINE WOMAN OUT OF $15,000?! It began with sweet words from a silver-haired Hollywood star—and ended in financial heartbreak. An Argentine woman was lured into a fake romance by an AI-generated George Clooney — complete with voice, video, and heartbreak. The scammer told her he was divorcing, needed help with legal fees, and promised to pay her back. Deepfake Clooney: “I love you.” She believed it, and wired the cash. But it was never Clooney—just an AI-powered lie in a tailored tux AI scams are here, and if your heart’s online, your wallet might be next. Source: La Opinión

@WIRED Bad outputs are annoying. Weaponized outputs are fraud infrastructure. If citation checks aren’t enforced before generation, you’re scaling social engineering with extra confidence. Trust controls must ship before growth loops. #AIScams #TrustAndSafety #CyberSecurity

Beyond mistakes or nonsense, deliberately bad information being injected into AI search summaries is leading people down potentially harmful paths. wired.com/story/googles-…

🚨BREAKING: Microsoft just canceled its Claude Code licenses. Not because the tool didn't work. Not because developers didn't love it. Because the bill was too high to justify. Let that sink in. The same company that invested $13 billion into OpenAI. The same company that owns the cloud powering most of AI today. Looked at the bill and said no. If Microsoft can't afford it, what does that mean for you? Here is what is happening right now: → Uber burned its entire 2026 AI budget in just 4 months → AI software prices jumped 20% to 37% overnight → GitHub killed flat-rate plans; usage-based billing is now the standard → Anthropic, OpenAI & Google all raised prices in the last 6 months → Enterprise budgets built on cheap AI are collapsing in real time This is not a small correction. This is the end of the AI subsidy era. For 3 years, labs burned billions to keep prices low. They needed your adoption. They needed your data. They needed your case studies. You were not the customer. You were the experiment. Now the experiment is over. Two roads ahead both lead to the same cliff: Road 1: → Enterprises cut AI usage to fit budgets → Revenue slows → Valuations collapse before IPO Road 2: → Labs cut prices to keep customers → Unit economics break → Someone takes the write-down There is no third option. The numbers stop working. Somebody pays. The AI boom was real. The pricing was not. Companies that built their 2026 strategy around falling AI costs? They are already behind. ♻️ Repost Every founder, investor & CTO needs this today. Full breakdown link in Comment

AI digital twins are moving from science fiction to executive workflow. If leaders can delegate routine presentations, internal updates and repetitive decisions to AI replicas, productivity will change dramatically. The real question is not whether digital twins can work, but who controls the judgment, trust and knowledge they accumulate. wsj.com/tech/ai/ai-age… @wsj @JoannLublin

@nytimes This is exactly why schools need victim-first protocols the same day a report lands. Fast forensic capture, immediate safeguarding, and criminal referral can’t be optional. #OnlineSafety #RevengePorn #ChildProtection #DigitalEvidence #NostosOnline

Breaking News: Two teenage girls said in a lawsuit that a teacher at Saint Ann’s School in Brooklyn sent “revenge porn” with explicit pictures of them to his students. nyti.ms/4aj3pUW

Deepfake scams are now identity weapons. Read this and harden your defenses now: x.com/DimDrandakis/s… #Deepfakes #CyberSecurity @NostosOnline

@kevinweil @OpenAI Love this direction: using AI to pressure-test methods, stats, and reproducibility beats using it to flood timelines with low-quality summaries. If Paper Review keeps citations and assumptions explicit, this could become standard lab workflow. #AIResearch #Reproducibility

💥 New in Prism today: Paper Review, an AI workflow for reviewing technical and scientific papers. This is the opposite of AI slop: we're using AI to improve scientific rigor, correctness, and reproducibility.