And it needs deep extensibility. Users and AI must be able to write extensions that access the system’s internals, building custom tools, automation, and domain-specific reasoning engines. This is already happening: AI agents build their own proof strategies on top of the platform. The platform adapts to its users, not the other way around.
And it is unusual to see any consideration of broader sociological issues, let alone an emphasis on this, with a focus instead on perceived “quick win” technosolutionism.
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Tracing the Pinout
Artificial intelligence adds another layer of uncertainty. While its use is growing among students and educators alike, it’s uncertain whether there are proper guardrails for learning.