#OpenSourceAI #LLMSecurity #AI Are open-source LLMs actually secure? Short answer: it’s complicated. You can run them offline, but hidden training data instructions could still trigger dangerous behavior later. In this video: • Why “air-gapped = safe” is not always true • How training data backdoors and time-based triggers could activate (e.g., “2035” scenario) • The risk of models with OS access: terminals, files, email • Why trust in vendors matters for both open-source and proprietary models (OpenAI, Anthropic) • Practical takeaway: awareness of embedded risks in widely used LLMs Series: Part 2 of our open-source model deep-dive (previous video covered what open source models are) 📦 Join the Unreasonable AI community: Telegram → https://t.me/unreasonableai 🛠 Start building with n8n → https://n8n.partnerlinks.io/knp8qzaony3y (This is my affiliate link — at no extra cost you can support the channel. Thank you!) #AIThoughts #AI #AINews #ArtificialIntelligence #LLM #GenerativeAI #ModelSecurity #Backdoors #DataPoisoning

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