Dr. 李開復 Kai-Fu Lee 给大学生的公开课：你该这样做选择
Q1：听说博士才能进 AI 公司，那我们不是应该先读一个博士？
我有个非常要好的朋友就是在美国排名前五的大学毕业的，毕业之后想在美国找一个 Tenure EE professor（电子工程终身教职）多难你知道吗？每年申请CMU、MIT、Berkeley教职的有1000多人，但职位只有几个。所以你即便拿到前十名大学的毕业学位，如果你真的想去教书的话，你最好做好最坏的心理准备。
Via Dr. 李開復 Kai-Fu Lee
Public Opening for college students: you should choose like this
The Deecamp Artificial Intelligence Training Camp, co-hosted by the ministry of education, innovation workshop, Beijing University, has been in place for two weeks.
As a lecturer in summer camp, I had an ai class for students last week. I didn’t expect the students to consult me on the most topic after the class: should I work, Entrepreneurship, or read the bo teacher after college graduation? There are also students who ask ai is not foam, we still have to don’t learn to wait.
So I’m looking for time to make a career choice and answer class with summer camp students to help everyone answer questions. The following quiz may also help other students, share it to everyone:
Topic one: do not support fresh birth blind entrepreneurship
Q1: how should college students be created?
I don’t support fresh college students entrepreneurship, every one of them is now getting a business plan book for me, and I won’t collect one. Why? Because Entrepreneurship is not a student who just graduated. Innovative workshops invest more than 300 projects, only two or three are made by students who just graduated, for example, kuang tech face++.
When just graduated, you will have insufficient experience, not enough connections, not understand management, all our concerns, will happen in this process. So, without experience, the odds of success are negligible. Classmates who want to start their business, don’t be so anxious, you join a company, two years fast, three or four years, and we will definitely consider it more carefully when we make a business plan.
Q2: since entrepreneurship can’t rush, what kind of company should we look for?
I think there are several options:
First big company is advantageous because it has data, there are good boss, good system, there is a good boss in ai era very important to see he is not care, understand not understand ai, give not for you Their big data. If these conditions are met, I think these big companies in the country can be considered.
But the problem is, enter the big company, you will be divided into a small and small sector and become a small gear for big machines, for example, you do technology just do technology, you want to know the user experience impossible; or say you Is to do training optimization, you do training optimization, you don’t ask the data how to use, also don’t worry about the product how to use. The big company won’t let you contact the full range of data and industrial operations.
If going to startup company, there can be a few ways to go:
First, looking for a company that has gone into our sight, such as face++, aliexpress soup, under, etc, enter such a company to do ai, you will also learn a lot. Their scale may have been hundreds of thousands, but you still have a chance to see the cross-sector run.
The second option is to go to the companies that are non-AI, the scale though not big, but with the potential of rising, and already recognize the importance of ai.
These companies are characterized by a lot of data, a lot of users, and a few million days after the day, suddenly found that they need ai’s support. When you choose a company like this, you need to be sure that this company is understand ai and cares about ai, for example, the United, the United, or every independence company is an optional item.
The third class is very startups, only dozens of people, such as the king we invest. If you more want to entrepreneurship instead of looking for work, in the small company you will learn more. Any questions of the company, regardless of products, users, competition, market and technology, and so on, you will be contacted.
For those who are going to entrepreneurship, you have to be happy to accept because it is the best training for the CEO, every funny or boring thing you are going to do.
But there is a bottom limit, the company is at least 10 people. Because most of the three-four-person companies are still limited, preferably 10-50 people’s companies.
Last advice, when you’re picking the company, it’s definitely not to judge the company good or bad. I’ve seen a very good founder, but the company has done a mess, and I have also met the kind of people who are very within, talking boring to the people who want to sleep, but the company is awesome. So how to tell?
The answer is simple, see who the investor is. You guys study and see which domestic or international funds can be believed. These funds often appear on various charts, the best individual or agency angel, the best early, or the best ab wheel early mid-term investment agency. You guys go check out the list and see what items they voted for. Innovative workshops are of course one of them, but the funds worth respect are at least 50 more and a lot.
Q3: if ai company unfortunately collapses after i enter, how is the next road going?
It’s really a tradition but scares me. But you don’t have to worry about it, if you guys enter the first 50 VC or angel investment ai company, after two years this company is closed, we definitely help you find a job and even help you make the next home The company.
On the way to entrepreneurship, we didn’t fail the word, only unemployment. The risk of entrepreneurship exists, but engineers do not fail, and the accumulated experience is always added.
Topic Two: work or read bo?
Q1: heard Dr. can enter ai company, then shouldn’t we read a Phd first?
Don’t believe this, don’t rule out some company superstition Dr, but you guys may want to find the company that looks for ai talent, not Dr. Ai, for example, the innovative workshop artificial intelligence engineering.
When Graduate Graduates, whether Phd, Master, undergraduate, strength may vary. Dr. May read a very poor school, and the paper is probably not published at all, undergraduate students have more than Dr. Learn and more powerful, so you guys have to make a glow during the period before graduation, let everyone see You don’t have a Phd, but you’re still good at it.
Q2: if to read the importance of bo, country, mentor, school, how to sort?
First order to pick up mentor, second pick school, third pick geographical.
For example, CMU (Card University of card) is now not a teacher to choose a student, but a student elected teacher, and this mechanism is super plus. In cmu, it is called marriage process, and after you go, there are probably teachers who give you their research, and finally you have to see them all. Fifty-six mentors robbed more than students, and students are very top.
If there is no such system, just teacher pick students, then what can you guys do? Email the teachers. Don’t write too much, because teacher time is precious, you have to write a page to finish it. Tell the teacher in email that you have a concern about him, read his thesis, and finally raise your doubts or views.
The premise of email is that you really read the article. Because teachers usually give you back to the mail to explain, then you can reply,” awww your explanation makes me suddenly ever, exactly I’m going to apply for the Phd class next year……”.
If you are determined to go abroad to read ai’s Phd, several universities in the United States, UK and Canada can prioritize. For most disciplines, the UK and Canada are far behind the us, but in machine learning, there are several very nice schools in Canada and Britain.
Q3: if not in good school, still have to read Dr.?
Imagine, you have to spend three or four years after your undergraduate graduation in a three-stream school, write some papers that have no read, and after graduation, can’t find a good teaching job, then what’s the point? So when you guys can’t find a good school, I suggest you can read a master in a school first. (American reading poh doesn’t necessarily have to get a master’s degree first)
Assuming that we can enter the first schools in the United States, then read the master first, and apply for the first doctors, rather take a little more time to read the Phd degree in the good school.
Also classmate said I can’t read good Dr. I read postdoctoral can not? I’m telling you, there’s no postdoctoral in the world. What position is postdoctoral in America? It is the job of a Phd student who can’t find a job. The General Top Phd has started to do the teaching job after graduation, and rarely do the post-Doctoral, of course, if it is in the world ranked first school to do the post-Doctoral, we
What if you really can’t get in the good school? Also don’t be depressed, in these ranking schools, look for teachers who have no top school graduation. Because the reality you still have to face is that even if you get into a top ten school reading dr, I’m afraid I can’t find a teacher who graduated from the top ten schools.
I have a very good friend who graduated from the top five college in the United States, and after graduation, wanted to find a tenure ee professor (E-engineering lifelong teaching post) in the us. How hard do you know? Every year, there are more than 1000 people applying for cmu, MIT, Berkeley, but there are only a few positions. So even if you get the top ten college graduation degrees, if you really want to go to teach, you better do the worst psychological preparation.
Then if you come to a school in a rank of fifty -, then you will be unlucky in your life, because probably don’t make any results. Have any of you ever seen which great study of the th school in America? Even if he was graduated from the top five universities in the United States, the odds were negligible. Why? Because teacher results are mostly from students, can you find the best students in the th school?
But if in turn there is a chance, if you get into the top 25 school, there’s a teacher who just graduated from a top three school three years ago, follow this teacher for research still very promising The of, that’s the way to read Dr., hope to help everyone.
Topic three: future work with ai
Q1: what is the comparison between the block chain and ai? Compare Worth Investment?
Ai sure is going to change the world, but the block chain is a relatively big possibility to change the world in the future. I’m all better, but it’s hard to compare both, because one is known and one is unknown.
Q2: May I ask if the bubble period of artificial intelligence is coming?
Artificial intelligence will grow in the next 15 to 25 years and change the world, and its entire chain of industry will also go from CV (computer visual) TO NLP (Natural Language processing), towards new areas.
Like 25 years ago, the network just came up, and it was also a lot of twists and downs, and it was finally Retrace the development of the network, after a few wave waves, from before it was pc online, then the flow brought a wave of wave, followed by the portal chance, after the search engine brought advertising, social, and then electricity Aliexpress, mobile internet appeared and gradually became the main.
So the network is foam 25 years ago? In the last 25 years, we can list 12 wave or 15 wave of network development, so whether you employment is 25 years ago or last year, you are all likely to catch up with the next wave tide. The Internet opportunities are not over, how can artificial intelligence end? So the statement of foam is not available.
Does that mean all ai companies have no foam? Also not, now ai company many valuation too high, non ai company also take ai’s aura to fool investors money, and many not understand investors really voted, these phenomena also exist. These phenomena are tired of jī jiǔ and definitely need to be leaked and let it return to normal state before going down. That’s why it will be seen after a successive ups and downs, but in the long term, the next 25 years will definitely be an optimistic trend.
You guys do ai, also have to have a learning attitude with the times, like if you enter the network 25 years ago, you said you’ve been doing the streamer for a lifetime, then it’s not working later! As long as you get in with the times, keep anti-Review, keep learning new knowledge, any industry is without foam. For example, ho peng, who did the UC flow at that time, what are people doing now? People make cars, right? But for him, the car is an extension of the internet!
To make a little more ad, you will see again after another 30 years, and the ai company that we have invested in the innovation workshop must be the highest in the industry, and of course the failure will definitely have. So a really knowledgeable vc, he can see clearly.
Finally to post a trailer:
After Deecamp, at the end of August, the innovative workshop joint search dog, the us review, the ai challenger2018 global ai challenge, launched by the United States, will also pull the curtain. Starting from early September, we will launch the “campus line” event at many universities across the country, which will have the top big curry in the ai industry to come to the school, interact with the students; there will also be an ai of contestants and lovers in all parts of the world. Technology exchange event oh. Specific schedule information will be announced this month.
Via Dr. 李開復 Kai-Fu Lee