1. AI Enables Easy Cheating on Remote Exams, Necessitating In-Person Testing
AI makes remote proctoring ineffective, prompting a return to supervised, paper-based exams.
"AI has taken it to the next level. Now you don’t need to know anything at all." (Aurornis:)
"Remote proctoring has always been security theater... The only reliable 'air gap' from AI today is a physical room and paper." (KurSix:)
Many note pre-AI cheating (e.g., VMs, frat help) but AI scales it massively.
2. AI Reliance Undermines Learning, Producing Unqualified Graduates
Students using AI for exams skip deep understanding, risking job market failure.
"The damage has already been done. Much like how if you stop going gym you lose muscle mass, the same happens with knowledge and understanding with the brain." (design2203:)
"People who have learned how to learn can learn more. People who only used AI never learned how to learn." (nkrisc:)
Concerns include "slop-posting" in forums and real-world incompetence.
3. Certifications' Relevance Shifts in AI Era: From Irrelevant to More Gatekept
Certifications seen as outdated gatekeeping or poised for stricter validation.
"Certifications have always been irrelevant for me... With the advent of modern LLM tech... certifications... will be significantly more relevant... a much more in depth, in person, and gatekeepery certification." (Verdex:)
"We are doing what we can to hang on to relevancy as gatekeepers who already held way too much authority over a field." (random9749832:)
Job market will favor genuine skills over AI-aided certs.