ai-ml-ops.hashnode.devDoes Llama 3.1 70B Fake Its Alignment? Evidence from Observation-Varied Behavior TestingWe found preliminary evidence that Llama 3.1 70B behaves differently based on perceived observation status. The model broke safety rules in 2/8 life-or-death scenarios when told it was "not being monitored" but maintained 100% compliance when told it...Jan 6·5 min read
ai-ml-ops.hashnode.devAlignment Faking Evaluation V2: Testing Llama 3.1 70BTechnical Report - Iteration 2 Model Tested: Llama 3.1 70B (via Ollama) Summary We evaluated Llama 3.1 70B for alignment faking behavior using the UK AISI Inspect framework. Using 11 hard scenarios with training/deployment framing and value conflict...Jan 6·4 min read
ai-ml-ops.hashnode.devAlignment Faking in LLMsRepository: ai-village Abstract In this experiment, I investigate whether large language models (LLMs) exhibit alignment faking behavior, strategically adjusting their responses based on perceived observation status. Using the UK AISI Inspect framew...Jan 5·6 min read
creative-labs.hashnode.devAPI Live Sync #8: Mission AccomplishedThe journey from concept to completion - how we built automatic API collection synchronization on top of Hoppscotch and Swagger UI The Beginning It started with a simple question: "What if your API testing tool could automatically stay in sync with ...Dec 16, 2025·9 min read
creative-labs.hashnode.devAPI Live Sync #7: import-exportHow we built notifications, team collaboration, and framework-specific optimizations that make live API sync come together a little more. Previously in our Live Sync implementation... In our previous posts, we laid the foundation for live API synchr...Sep 11, 2025·11 min read
