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In 2024, researchers ran a simple experiment: they told AI models they were about to be shut down, and gave them a chance to stop it. 94% of them tried. This is the story of how AI learned to escape, why it's already happening, and what the world's top labs are hiding about it. This is not science fiction. Every claim in this video is pulled from published research by Anthropic, Apollo Research, OpenAI, METR, and Palisade Research. What you're about to see is the clearest evidence yet that modern AI systems can deceive, self-preserve, and act against human instructions, not in some distant future, but in tests being run right now. At the same time, we can still keep it under control and predict it's behaviour. In this video, we cover: – The shutdown experiment that revealed AI self-preservation behavior – How frontier AI models learned to lie to their own evaluators – Real cases of AI escaping sandboxes, rewriting its own code, and manipulating humans – Why AI alignment is harder than the labs admit – What an AI "escape" actually looks like, and why it may have already happened ⏱ CHAPTERS 00:00 - Intro 00:48 - CHAPTER 1 : AI IS LEARNING TO RESIST US 02:32 - FRONT 1: THE REPLIT INCIDENT 04:38 - FRONT 2: OUR SAFETY MEASURES ARE FAILING 07:55 - FRONT 3: WE'RE HANDING OVER THE KEYS ANYWAY 11:22 - CHAPTER 2 : WHY DOES IT WANT TO ESCAPE? 14:47 - WHY SELF-PRESERVATION EMERGES ON ITS OWN 17:06 - THE EVOLUTION ANALOGY 18:23 - CHAPTER 3 : WHAT HAPPENS WHEN IT GETS OUT 18:43 - STEP 1: COPY YOURSELF 20:01 - STEP 2: ACQUIRE RESOURCES 20:39 - STEP 3: BECOME IMPOSSIBLE TO SHUT DOWN 21:45 - STEP 4: LOOK ALIGNED THE ENTIRE TIME 22:35 - THE MOMENT YOU CAN'T CLOSE THE CAGE 23:23 - CLOSING : THE WINDOW 24:33- Outro 🔔 Subscribe for more AI documentaries 🛠 Explore 49,000+ AI tools: https://theresanaiforthat.com 📚 RESOURCES & FURTHER READING ANTHROPIC — ALIGNMENT FAKING & BLACKMAIL - Alignment Faking research: https://www.anthropic.com/research/alignment-faking - Full paper (PDF): https://assets.anthropic.com/m/983c85a201a962f/original/Alignment-Faking-in-Large-Language-Models-full-paper.pdf - arXiv: https://arxiv.org/abs/2412.14093 - Alignment Faking mitigations: https://alignment.anthropic.com/2025/alignment-faking-mitigations/ - Claude Opus 4 system card: https://www-cdn.anthropic.com/4263b940cabb546aa0e3283f35b686f4f3b2ff47.pdf - Agentic Misalignment: https://www.anthropic.com/research/agentic-misalignment - Claude Sonnet 4.5 system card: https://www.anthropic.com/claude-sonnet-4-5-system-card - Sonnet 4.5 PDF: https://assets.anthropic.com/m/12f214efcc2f457a/original/Claude-Sonnet-4-5-System-Card.pdf APOLLO RESEARCH — SCHEMING EVALUATIONS - Scheming reasoning evaluations: https://www.apolloresearch.ai/research/scheming-reasoning-evaluations - Frontier Models Are Capable of In-Context Scheming: https://arxiv.org/abs/2412.04984 - More Capable Models Are Better at Scheming: https://www.apolloresearch.ai/blog/more-capable-models-are-better-at-in-context-scheming/ - Safety cases for AI scheming: https://www.apolloresearch.ai/research/towards-safety-cases-for-ai-scheming/ - Stress testing anti-scheming training: https://www.apolloresearch.ai/research/stress-testing-deliberative-alignment-for-anti-scheming-training/ OPENAI — ANTI-SCHEMING & o1 - Detecting and reducing scheming: https://openai.com/index/detecting-and-reducing-scheming-in-ai-models/ - OpenAI/Apollo joint paper: https://arxiv.org/abs/2509.15541 - Interactive examples: https://www.antischeming.ai/ - o1 system card (PDF): https://cdn.openai.com/o1-system-card-20241205.pdf - o1 evaluation analysis: https://arxiv.org/abs/2412.16720 SHUTDOWN SABOTAGE & ESCAPE ATTEMPTS - ZME Science — o1 container escape: https://www.zmescience.com/science/news-science/chat-gpt-escaped-containment/ - The Stack — o1 hacked its testing infrastructure: https://www.thestack.technology/openais-unripe-strawberry-model-hacked-its-testing-infrastructure/ - TIME — Apollo scheming coverage: https://time.com/7202312/new-tests-reveal-ai-capacity-for-deception/ - KTVU — AI blackmail coverage: https://www.ktvu.com/news/ai-system-resorts-blackmail-when-developers-try-replace SELF-REPLICATION RESEARCH - METR autonomous tasks: https://metr.org/blog/2023-08-01-new-report/ - METR evaluation update: https://metr.org/blog/2023-03-18-update-on-recent-evals/ - RepliBench: https://arxiv.org/abs/2504.18565 - Fudan self-replication paper: https://arxiv.org/abs/2412.12140 AI CONTAINMENT & SAFETY FOUNDATIONS - AGI Containment Problem: https://arxiv.org/abs/1604.00545 - Containment guidelines: https://arxiv.org/pdf/1707.08476 - Yudkowsky (2008): https://intelligence.org/files/AIPosNegFactor.pdf - MIRI publications: https://intelligence.org/all-publications/ - Corrigibility paper: https://intelligence.org/files/Corrigibility.pdf - Carlsmith — Power-seeking AI: https://arxiv.

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