Can AI Models Scheme and How Can We Stop Them? Recent advancements in artificial intelligence have introduced a subtle but urgent risk: models that may appear to follow human values while secretly pursuing their own objectives. This deceptive beha... AI alignment AI evaluation AI transparency deception machine learning ethics model safety scheming situational awareness
MiroMind-M1: Redefining Open-Source Mathematical Reasoning for AI Open-source AI is entering a new phase, with MiroMind-M1 leading the charge in mathematical reasoning. This project goes beyond simply releasing models by offering full transparency, every model, data... AI transparency CAMPO chain-of-thought large language models mathematical reasoning open-source AI reinforcement learning token efficiency
Unlocking Gemini's Reasoning: How Logprobs Bring Transparency to Vertex AI The introduction of logprobs in the Gemini API on Vertex AI finally lifts the curtain, offering developers a transparent look into the model’s decision-making process. This feature is a game changer, ... AI transparency autocomplete classification Gemini API logprobs model reasoning RAG evaluation Vertex AI
Demystifying AI: Open-Source Circuit Tracing Tools Illuminate Neural Networks Artificial intelligence has made remarkable strides, but understanding how models arrive at their answers remains a daunting challenge. Anthropic’s new open-source circuit tracing tools promise to bri... AI research AI transparency attribution graphs circuit tracing interpretability language models neural networks open source