expert beginner vs Generalizing Specialists vs icicle-shaped vs t-shaped

Today I read an article Learning to learn and it mentions the concept "expert beginner" I learnt in past. I am wondering the differences among other concepts (namely generalizing Specialists, icicle-shaped vs t-shaped) in those domain, where I fall into the category, do I do the correct career choices etc.

The differences among them can be quickly generated from chatgpt, I quoted the answers here for quick references.

Thinking those concepts as a spectrum, I think I fall into between Generalizing Specialist and Icicle-Shaped. In some domains, I have moderate level knowledge by choice, and I can dive deep fastly as needed by projects or products using the skills and strategies (e.g. mindmap, 20/80 principles, spaced repetition, overexposure, diagrams[uml, bpmn], positive transfer of knowledge) I mastered during my continuous learning journey.

When and how I got there? I was aware of ageism and how to do countermeasure to make age be assets instead of liabilites when I was about 35 years old. Since then, I kept to learn new things in IT technologies, startups, finance, accounting, general business info and other business domains. Since the broad domains and information, I sought unconventional ways such as spaced repetition, second brain, personal knowledge management to keep things in memory in a substained way.

I doubted my action in past. Only recent years, I found some articles elaborated on those career choices under other concepts below. The experiences shared by others resonate deeply with my own.

I think those things should be in some contexts as well such as high profile big IT tech companies or others, timing before LLM/GPT etc. Should I change my strategies accordingly? I am still exploring it now.

Another trend shows in The tech industry currently favors specialized engineers over generalists, I don’t have number and not sure if it is true now, I might follow up it for a while to get sense of it.