One of the most interesting questions right now is not whether AI helps us learn faster — but how far that acceleration actually goes. If someone starts close to zero today, AI can: - explain concepts on demand - adapt explanations to your level - generate examples, exercises, and feedback - help you practice more consistently This applies to many domains: - coding - languages - music - professional skills - analytical or creative work In many cases, AI seems to compress the early and middle stages of learning dramatically. But there are also limits: - intuition still takes time - taste and judgment aren’t instant - real-world constraints push back - some skills only solidify through repetition and exposure So the interesting question isn’t “Can AI make you an expert overnight?” It’s something more nuanced. How far can AI realistically take someone — and where does the acceleration slow down? And from your own experience: - Where did AI help you most? - Where did it stop being enough on its own? - What still required time, effort, or human feedback? Curious to hear how people here see the real ceiling of AI-accelerated learning — across different skills and professions.