AI’s Inner Mirror: How 2025 Experiments Reveal LLMs Glimpsing Their Own ‘Minds

Introspection, that quiet inner dialogue where humans ponder their own thoughts, feelings, and intentions, sets us apart in profound ways. It allows us to step back, question our reasoning, and adjust our course. As artificial intelligence systems like large language models (LLMs) grow more sophisticated, researchers wonder if these machines might one day glimpse their own “minds.” In the 2025 paper “Emergent Introspective Awareness in Large Language Models” by Jack Lindsey, published in Transformer Circuits, this question takes center stage. The study probes whether LLMs can genuinely reflect on their internal states or if their self-reports are just clever imitations drawn from training data.

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What Will Be the Hourly Cost of Work of a Humanoid Robot?

In the fast-evolving world of robotics, humanoid robots are no longer science fiction; they are poised to reshape industries from warehouses to hospitals. Companies like Tesla, with its Optimus project, Figure AI, and Agility Robotics are leading the charge, developing versatile machines that mimic human form and function for tasks requiring dexterity and mobility. These advancements promise efficiency gains, but a key question looms for businesses: what will it actually cost to deploy them hour by hour? As technology accelerates, the economics of robot labor could disrupt traditional workforce models, offering savings that make automation irresistible. This article explores the projected hourly costs, drawing on recent research to unpack the factors at play.

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