Looking at the numbers, they sound unreal: trillions floating around in tech while my wallet looks like a ghost town (seriously, where is this money coming from? If my wallet could speak, it would say this data is made by AI). Anthropic, the team behind our cramming savior Claude, is eyeing valuations near $1 trillion (that’s like a million burgers) as investors dump billions into the hype train. Yet there is a massive catch: cloud infrastructure and chip makers burn astronomical piles of cash on hardware and energy just to run these models (my dream PC is far from my reach now), while most companies are still figuring out if AI generates actual profit or is just a glorified $20-a-month typing assistant. If this gold rush is a tech bubble waiting to pop (and I think it will pop soon), classrooms will take a massive hit. Students outsource whole reading modules to Claude, professors play endless cat-and-mouse with AI detectors, and half of us rely on AI to explain syllabus concepts we skipped in lecture while praying our original work does not get falsely flagged as bot-generated (oops!). Are we building skills for an AI-native future, or sacrificing critical thinking for a short-lived trend that leaves us stranded the moment server money runs out? That is something to ponder upon, and it keeps me awake at night. submitted by /u/PEEEPOOpeeepoo
Originally posted by u/PEEEPOOpeeepoo on r/ArtificialInteligence