<ul><li>Researchers at Anthropic have used biology-inspired AI interpretability to understand how large language models (LLMs) like Claude think.</li><li>By manipulating Claude's internal states and mapping neural pathways, the researchers made key discoveries about LLM cognition.</li><li>This breakthrough in interpretability is a step towards safer and more transparent AI, with implications for healthcare, education, and ethics.</li><li>Understanding the symphony of structured planning, parallel computation, and universal concepts in the mind of LLMs could enhance AI systems in the future.</li></ul>

Inside Claude’s Mind: How AI Plans, Computes, and Thinks Across Languages

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