Through this lecture, I started having various thoughts about the knowledge I possess, such as "Can I confidently say to someone that I know what I know?" and "How deeply do I know it?". While working, I was often looked down upon because I'm a non-CS major developer. I thought I had made efforts in my own way to catch up on my shortcomings, realizing firsthand how vast this world is, but that was my misconception. To my embarrassment, the level of my knowledge about encoding, which I confidently thought I knew, was truly shallow. If the interviewer had asked me about the encoding process at the level explained in this lecture, I would have surely failed. I was merely a developer who only used libraries optimized and created by someone else. If you delve really deep, you come to realize that learning and knowledge are endless. Since the emergence of AI, I personally had a lot of skepticism towards paying for lectures and gaining knowledge and experience in return. My thought was, "Can't I just ask AI?" This thought of mine seems to have a major flaw. As my career progressed, I didn't pay attention to anything outside my field, only talked about AI, and neglected studying. Although it was a short lecture, I had an experience that made me reflect on myself.