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The author presents research on measuring internal activation geometry in small language models when processing different framings of human-AI relationships, finding that topic matters more than tone, and that curiosity and playfulness produce the most positive internal signals, with practical implications for AI interaction design.
The author shares a technique of asking AI models to argue against an idea first to get more balanced responses, improving critical thinking and reducing bias from framing.
A Twitter thread argues that AI commoditizes yesterday's competence, creating sameness and increasing demand for human differentiation through narrative framing and organizational worldview.
The framing that AI is only for coders has become outdated; many of the most interesting AI workflows are now run by non-programmers.