Oh yeah, i did not mean to summarily dismiss “wrappers”, a word I have a strong distaste for. The thought there was that I have seen lopsided interest in AI fro

Oh yeah, i did not mean to summarily dismiss “wrappers”, a word I have a strong distaste for. The thought there was that I have seen lopsided interest in AI from companies looking to deploy it versus normies looking to use it for any of their daily tasks. > The combination of business / problem solving experience in the real world helps a lot to balance out what to do. The pace at which this space is exhausting and exciting, but the thing that makes it exhilarating is that the newness makes it possible for anyone to have an original thought on how to generate better solutions. The problem solving experience stuff is definitely a big contributor to that. It’s fun figuring out something cool yourself, kind of a secret, and then seeing an inevitable paper or langchain tool 6 months later reflecting similar thinking. I think we’ve progressed along this space in a similar way. The learning path probably is different now from than from two years ago on account of how much catch up there is to do. On top of that, thing can get stressful when you benchmark yourself against well-funded teams. Your last several sentences resonate with me because that meaning keeps the stress at bay. I’ve always loved automation as a means of empowerment in everything I’ve done, but in the prior two decades, it all felt like a toy hobby. LLMs seem close to be able to unlock that potential for everybody, and i find that incredibly energizing.