The practice of actively analyzing, evaluating, and synthesizing information through disciplined reasoning rather than accepting it at face value. Includes deliberate efforts to build depth of understanding and resist superficial engagement.
UChicago Law is implementing a strategy to ensure students master foundational legal reasoning without AI while simultaneously learning to use and supervise AI tools effectively for the future of legal practice.
Steve Wozniak championed human 'actual intelligence' and original thinking as the ultimate tools for graduates entering an AI-dominated workforce.
Innovation frequently happens by observing what works in practice and then developing the theory to explain it, rather than the other way around.
Humans must maintain critical skepticism and total accountability when using AI, treating it as a fallible tool rather than a human-like authority.
It is better to be a late adopter of stable, useful technology than an early adopter of unreliable hype.
AI's existential risks are a reflection of human ethical gaps, requiring a breakthrough in collective wisdom and critical thinking rather than just better engineering.
AI is the latest in a long line of overhyped technologies that will eventually become a mundane part of our digital toolkit.
To think well, you must remember deeply—tools can assist, but they can’t replace a trained, knowledgeable mind.
Ubiquitous AI is making school easier but emptier, trading authentic learning and resilience for quick, superficial results.
