Group 1 - The core idea presented is that in the AI era, effective learning requires clarity on what not to learn before pursuing new knowledge [3][4][5] - The importance of setting clear life goals and aligning learning objectives with those goals is emphasized [5][6] - Many individuals tend to learn haphazardly without a clear direction, leading to wasted time and effort [7][8] Group 2 - A recommended approach is to start real projects and learn through practical experience rather than following tutorials from start to finish [7][11][16] - The experience of using AI tools in real projects has proven to be more beneficial than theoretical learning [15][16] - Learning in the context of actual work allows for immediate application of skills, enhancing retention and relevance [17][22] Group 3 - Strategies for overcoming procrastination include starting with small, manageable tasks to build momentum [18][19] - Sharing progress publicly, such as through writing or teaching, can reinforce understanding and foster community engagement [20][21] - The overall methodology encourages proactive, goal-oriented learning that evolves through practice and iteration [22]