Yes, this shift will challenge our educational systems and testing methodologies. With information readily accessible via LLMs, the emphasis will need to shift from rote memorization to the application of knowledge. Students will need to demonstrate understanding by applying concepts in new and varied contexts, instead of just regurgitating logic through predictable questions. Educators will need to shift to prioritize teaching critical thinking skills, and encouraging students to analyze, evaluate, and synthesize information rather than simply recall it. There will be a move towards assessments that require students to engage in tasks resembling real-world challenges, such as projects, presentations, and collaborative work. Assessments will need to focus more on the learning process, including how students arrive at an answer, encouraging the demonstration of reasoning and methodology. Rather than prohibiting LLMs, education can incorporate them as learning aids, teaching students how to use these tools responsibly and effectively. I would make testing and schoolwork "Open LLM." Testing students' ability to discern credible sources and validate information generated by AI is certainly part of a valid, and critical, modern world performance metric of understanding. In the future, it's also a key skill our schools need to deliver in students. ProTip for educators: LLMs can help you adjust your testing and teaching to accommodate this new world, even down to offering more individualized testing and tutorials for your students. LLMs are the most patient tutors we have now.

It's morally wrong to be reinforcing learning patterns that DON'T use AI. Our educational systems need to be teaching students how to more effectively apply AI to _every_ problem and task to achieve good results - regardless of subject - not putting up barriers to their use.