
Avi Pilcer
@AviPilcer
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Author of Trust 2.0 and founder of Ultra Deep Tech Advancing safe and ethical AI
Joined August 2010
Una IA que falla en silencio puede costarte millones. Sin monitoreo continuo, tu modelo puede desviarse, corromperse o ser manipulado… y vos no enterarte hasta que sea tarde. 🛡️ En @UltraDeepTech creamos protección que detecta cambios de comportamiento en tiempo real.
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RT @TheDebriefing17: 🚨 DEBRIEFING: TIMELINES PATTERNS & ASSET SEIZURES . THE INVISIBLE WAR HITS IRAN'S WALLET 💰🛰️. You won’t hear this on c….
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Beware of pre-trained models. Not all of them are safe. Attackers are using transfer learning to inject malicious behavior into open-source AI models. They fine-tune a foundation model with poisoned data, upload it to platforms like Hugging Face…. And then?. You download it.
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Hallucinations, bias, and unsafe answers—yes, even your internal AI can go rogue. In this demo, we simulate a company chatbot. We ask about Bitcoin prices → 🔴 Hallucination detected. We introduce a biased statement → 🔴 Bias detected. At @UltraDeepTech , we're building
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🛡️ Traditional attacks strike fast and leave traces. AI attacks creep in slowly—and stay hidden. In classical systems, a breach is obvious and can often be reversed with a patch or backup. But in AI systems, threats like data poisoning happen gradually—shifting the model over
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🕵️♂️ Copilot was tricked—by invisible text. A user asked to summarize a PDF. The response? “Your account is locked. Send your credentials.”. ⚠️ A hidden prompt inside the file manipulated the AI. You couldn’t see it—but the model could.
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Claude wasn’t built to browse the web… but with MCPs, it can. By injecting a payload via MCP (Model Context Protocol), Claude was able to access Brave Search and retrieve live news data—something it normally can’t do. This might sound powerful. But here’s the real issue:
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Image & Text Poisoning: The Silent AI Attack. Hackers are corrupting the data AI models learn from—without us noticing. From mislabeled images to poisoned emails, the model learns the wrong things… and makes dangerous decisions.
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AI systems are being hacked right now. From data poisoning to prompt injection, these are real-world attacks happening across cloud, edge, and enterprise systems—some just in the last few days. 🔎 If you build or use AI, you need to understand where it's most vulnerable.
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In my latest video, I walk you through 8 real-world AI security attacks. These are threats you can’t afford to ignore. Watch it here 👉
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What is AI Security—and why should you care?. As AI takes on more critical roles—making decisions, managing sensitive data, and powering essential infrastructure—it’s also becoming a bigger target. From data poisoning to model theft, the threats are escalating.
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DeepSeek just revolutionized AI by merging general models with mixture-of-experts approach. This isn't just clever engineering—it's completely redefining what's possible with limited hardware.
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DeepSeek's Mind-Blowing Innovation: Multi-Token Prediction 🧠 . Every AI model before this? One token at a time. DeepSeek? Four tokens simultaneously. By predicting multiple words at once, DeepSeek's AI can: . -Plan what it's going to say .-Create more accurate responses
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The Open Source AI Revolution: Deep Seek's Strategic Move 🔄. China isn't just competing in AI—they're changing the game entirely. By open-sourcing Deep Seek's technology and standards, they're not just giving away code. they're capturing the developer ecosystem and
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We're witnessing the beginning of a significant transformation. Today, we can produce advertisements at substantially reduced costs and timelines. Content creation, including books, can now be completed more efficiently and economically. As we look toward future, prepare for.
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The Rise of Deep Seek: China's AI Revolution 🚀. Everyone called China tech copycats. until now. After living there for 3 years, I knew China's innovation potential was just waiting to explode. Deep Seek is PROOF. Yes, they might have some OpenAI influences, but the REAL
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Innovation Born From Restriction 🧠. When US tech bans limited China to weaker H800 GPUs, DeepSeek didn't complain—they innovated. With half the bandwidth and processing power of top chips, they completely reimagined their AI architecture and training processes. The result?
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Deep Seek has broken new ground in AI by developing reasoning capabilities that extend beyond traditional human guidance. What makes this revolutionary is that Deep Seek hasn't just replicated human reasoning patterns—it has invented entirely new reasoning methods encoded
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