In this installment of AI Corner, Siadhal Magos, Metaview CEO, and Nolan Church dissect Anthropic's groundbreaking paper “Tracing the thoughts of a large language model” released on March 27, 2025. They explore surprising findings: LLMs plan ahead rather than simply predicting next tokens, think across multiple languages simultaneously, and often present explanations that satisfy humans rather than reflecting their actual reasoning processes.

The conversation highlights the paradox of developing powerful AI systems without understanding their workings, raising implications for deployment, safety, and the "intelligence on tap" paradigm reshaping our technological relationship. We should all be paying attention.

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