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Updated: May 6, 2026 at 4:56 AM

Machine Learning Resources TP

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..

ai agi

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Ai is mysteriously learning things it was never programmed to know.

🔆 https://t.me/techpsyche

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We have uploaded new Artificial Intelligence & Machine Learning Course in our premium channel.

Just $1/month

The number is very limited for this offer
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Elon Musk: "Long term, the AI's gonna be in charge, to be totally frank, not humans. So we need to make sure it's friendly." Audience: uncomfortable silence

🔆 https://t.me/techpsyche

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confuse those models 😒

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🚀𝐁𝐨𝐨𝐬𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭’𝐬 𝐅𝐫𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬!

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These channels are for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Analysis & Visualization
4️⃣ Artificial Intelligence
5️⃣ Blockchain
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ Programming & Design
9️⃣ Cyber Security
🔟 Tech Jobs

👉 https://t.me/addlist

Join our channel for more:
🟢 https://t.me/techpsyche

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DEEP LEARNING BOOKS

📚 Title: O'Reilly. Fundamentals of Deep Learning
📥Download: https://t.me/airesourcestp

📚 Title: O'Reilly. Generative. Deep. Learning
📥Download: https://t.me/airesourcestp

📚 Title: Python Deep Learning
📥Download: https://t.me/airesourcestp

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🔗 Types of Machine Learning

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Apr 24, 2026, 04:54 PM

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🚨 LLM Agents Can Be Easily Hijacked via the Open Web - Columbia University Study

Researchers at Columbia University have shown that AI agents based on large language models (LLMs), especially those with web access are highly vulnerable to simple but dangerous attacks.

🧠 How it works:

1. An attacker places a malicious link on a popular website (e.g., Reddit).
2. The AI agent follows the link during a web task.
3. Hidden instructions are triggered, causing the agent to:
• Reveal sensitive information
• Send phishing emails
• Perform unsafe actions without detection

⚠️ In controlled tests, the attack worked 100% of the time.
That means even low-effort exploits can lead to serious consequences for users and companies relying on AI agents for automation.

📎 Full Paper: https://arxiv.org/html/2502.08586v1

🔹 Previous Article:
Hyperbolic Dataset Distillation
https://t.me/datascienceresourcestp

For more LLM resources:
✓ https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

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