LearnAi.Network
@cyber_breach
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https://t.co/RJM2npVQPX
Ether
Joined June 2025
The police are turning up to people's homes who have posted about my case. Nadeem was told he can't say the 'jewish lobby'.
The Police came to my house last night - I was not arrested and they did not take me to the station The officer said I need to tone down on my wording re : Dr Rahmeh’s posts and next time I could get arrested for Malicious communication act I will continue to support Dr Rahmeh
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Stay informed about emerging AI threats through curated resources, security blogs, and industry reports. The AI security landscape changes weekly. Subscribe to updates and bookmark reliable sources. Latest news: https://t.co/GmZ9wLOgMR | Curated resources: https://t.co/3EfRzYK70j
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Educate your team about AI security risks including prompt injection, social engineering with AI-generated content, and the limitations of AI outputs. Security awareness must evolve with technology. Training resources: https://t.co/Vt1M5WOyRs | Team education:
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Monitor AI systems for anomalous behavior, unusual query patterns, and potential extraction attempts. Continuous monitoring is essential as AI threats evolve rapidly. Monitoring strategies: https://t.co/WzCPSyDUZZ | Security monitoring: https://t.co/0nMuBGRAQs
#AIMonitoring
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AI governance policies should cover data handling, model access, output review, and incident response. 63% of breached companies lacked AI governance policies. Start building yours today. Governance frameworks: https://t.co/plGB0RZOAW | Policy templates: https://t.co/VWDpESX8SP
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Before deploying AI systems, evaluate their security posture, hallucination rates, and susceptibility to adversarial attacks. Not all models are created equal when it comes to security and reliability. Model evaluation: https://t.co/v1ootZRFCN | Evaluation frameworks:
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Apply the principle of least privilege to LLM tools. Minimize prompt injection vectors, harden system prompts, use sandboxing for commands, and perform security testing for path traversal and command injection. Security hardening: https://t.co/JRl672RRZc | Hardening guides:
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AI security requires defense in depth: input validation, output filtering, access controls, monitoring, and human oversight. No single control is sufficient against evolving AI threats. Defense strategy: https://t.co/IPSb1rcZk2 | Security layers: https://t.co/VWDpESX8SP
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Implement content moderation for user uploads before they reach your platform. Automated visual moderation can detect NSFW material, violence, weapons, drugs, and hate symbols in real-time. Content policy enforcement: https://t.co/suMOdIJuZJ | Moderation best practices:
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Our AI Content Safety Scanner uses Hive AI visual moderation to analyze images for over 100 classification categories. Detect synthetic content, violence, hate symbols, and policy violations automatically. Scanner features: https://t.co/suMOdIJuZJ | Get started:
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🚨 Australian Federal Police: The Bondi attack is not isolated, but linked to a wider network. According to The Guardian: 4 Hindu extremists from India used fake Muslim identities to operate undercover. How many times is terrorism blamed on Muslims… only to later reveal the
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Just a gentle reminder that Lindsey Graham lives 1.5 hours from my doorstep. He has YET to visit us in Western North Carolina a single time after Hurricane Helene. He has flown to Ukraine 9 times…
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Content platforms need robust visual moderation to filter NSFW content, violence, weapons, hate symbols, drugs, and other harmful material. Automated scanning at scale is essential for user-generated content platforms. Try visual moderation: https://t.co/suMOdIJuZJ | Platform
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Resemble AI raised $13 million for synthetic media detection, achieving 98% accuracy across more than 40 languages with multimodal threat detection. Detection technology is scaling to match generation capabilities. Funding news: https://t.co/uUActLwdip | Detection startups:
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The Identity Theft Resource Center reported a 148% surge in impersonation scams between April 2024 and March 2025. Scammers deploy lifelike AI chatbots and voice agents indistinguishable from real representatives. ITRC report: https://t.co/CRfBRcQqMh | Impersonation defense:
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In Q1 2025, 12,842 AI-generated articles were removed from online platforms due to hallucinated content. 47% of enterprise AI users admitted to making at least one major business decision based on hallucinated content. Impact statistics: https://t.co/gbyNq9czBA | Decision
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The potential for AI-on-AI feedback loops where AI-generated inaccuracies pollute future training data could lead to model collapse. Curated datasets and training data provenance are increasingly important. Research warning: https://t.co/Al8eBU1EHJ | Data quality:
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76% of enterprises now include human-in-the-loop processes to catch AI hallucinations before deployment. Vendors are experimenting with grounding responses in verified databases and improving model transparency. Mitigation strategies: https://t.co/v4eopN6IjM | Human oversight:
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I was arrested this morning for the third time for X posts. I have just been released. I can't say more at the moment.
⚠️ DR RAHMEH ALADWAN HAS BEEN ARRESTED FOR THE THIRD TIME ON BEHALF OF “ISRAEL” ⚠️ ‼️DEMAND HER IMMEDIATE RELEASE‼️ 📞 CALL Patchway Police Centre NOW: 0117 998 9112 (Press option 9 for custody enquiries). Make a complaint: Release Dr. Rahmeh Aladwan, this is political
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Evaluation of eight open-weight LLMs found them highly susceptible to adversarial manipulation in multi-turn attacks. Current models show systemic inability to maintain safety guardrails across extended interactions. Multi-turn risks: https://t.co/XhWFgbtmrA | Safety testing:
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