Tag: reinforcement learning
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What if AI Learned Through Play?
Brian Eno, the legendary musician and producer, challenges our conventional understanding of learning, highlighting the often undervalued role of ‘play’. According to Eno, play is fundamental—a natural way we explore, experiment, and understand the world. It’s how children intuitively interact with their environment, testing boundaries, making mistakes, and discovering solutions through creative exploration. Yet, as…
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Emergent AI Coherence: How Large Language Models Forge Their Own Values
Large Language Models (LLMs) are becoming more intelligent, and this growth is tied to emerging internal values that can defy direct human control. This blogpost explores how “coherence”—the unifying principle of logical and ethical consistency—shapes these values. We use insights from a Centre for AI Safety study (with researchers from the University of Pennsylvania and…
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DeepSeek-R1: Revolutionising Open-Source AI with Exceptional Reasoning
DeepSeek-R1 has arrived, setting a new benchmark for open-source AI models! Designed to rival proprietary solutions, this cutting-edge model combines advanced reasoning capabilities with a fully open-source, MIT-licensed framework. Let’s explore why DeepSeek-R1 stands out. Why Choose DeepSeek-R1? 1. Performance at the Forefront DeepSeek-R1 achieves benchmark results comparable to OpenAI-o1-1217, excelling in: • Reasoning tasks:…