1. Five categories of asset-light projects
Asset-light projects do not require investment, but not everyone can do it, depending on personal knowledge and ability level limitations.
Just like the previous questions in various subjects, you can’t do them all, right?
When I used to answer questions, I liked to divide the questions into five categories according to difficulty. Now when working on projects and applications, this is still the case, making it easier to specify strategies separately and defeat them one by one.
Category 1: You know what to do when you see the title, and you can start doing it immediately
Category 2: You know what to do when you see the title, but you need to spend time preparing the tools
Category 3: Need a little hint to know what to do
Category 4: Need someone to teach you step by step
Category 5: Due to limitations in one’s ability level, one cannot do the entire process even if they know it.
2. Why does Zhang Xuefeng know all majors?
In fact, it is very simple. The truth is often simple and straightforward:
(1) At the same period, society has different demands for various professional skills. At different periods, the demand for the same professional skills is different.
(2) In a market economy environment, the greater the demand for a certain professional skill, the easier it is to make money.
(3) People should first solve low-level needs (such as food, clothing, housing and transportation) before solving other needs.
These three points should be regarded as axioms, and anyone who does not admit them has other motives.
3. Why are people who study computer science so divided? On the one hand, they say that university teachers are incompetent and cannot code and rely on self-study, but computer Ph.D.s are highly paid?
Is it possible that a doctorate in computer science can only get a high salary in the industry, but he can't get a high salary even if he stays in school as a teacher?
Salaries in the industry are high -> Talents all flow to the industry -> Teachers in colleges and universities are of poor quality -> Computer majors require self-study
The logical chain is probably like this. It seems that the education industry in Weiguo has been out of touch for more than a day or two.
4. How will this wave of artificial intelligence bubble burst?
Disillusioned? Haha, think too much.
This wave of artificial intelligence has ten major breakthroughs in ten years, which is enough.
Even in the trough period of 17 to 20 years, the AI field can easily point out black technology such as AlphaFold, which can take over your structural biology.
I think AI will not destroy itself until it destroys all other industries. After all, we programmers end up killing ourselves.