It ends like this: all codebases become unmaintainable spaghetti after agentic AI spends years on it. Then after every agent in existence will spend minimum 24 hours reading the codebase to add a simple feature, the software is abandoned.
Teaching is about moving our knowledge (the stuff we’ve collectively learned ourselves, from others and our parents [instead of everyone needing to find out on their own]) to the next generation. While some skills may become obsolete in some parts of professional life due to AI, the purpose of academia does not change much.
My kid went to brain MRI because of migraines (standard procedure here for kids to check if there is e.g. a tumor causing the headache). I was pretty nervous due to this kind of research and the preparatory material saying that they might need to use a contrast agent. In the end they didn’t use a contrast agent and I stressed unnecessarily.
I am donating my other kidney to a child (1 year old with nephrosis). In any case he is living the rest of his life with this condition. I am doing this to minimize the risk of rejection during childhood. There are living people with this condition (since being babies) who are 40 years old and have families.
Great! I am also about to donate my other kidney. The difference in the long term outcome of the patient between living and dead donation is significant enough for me to go through this. My total kidney function will drop to 50% and I will be sick for 2-3 weeks but if everything goes well I will be up to 70% after few months if the remaining kidney accomodates and back to work in about 4 weeks. Of course there are some other long term risks to consider. However, I probably would not agree on this if there was an abundant supply of working pig kidneys…